Alternatives to Irmu

Gaffa is a REST API built for web scraping and browser automation, allowing developers to run real, full browsers at scale with a single API call. It removes the difficulty of managing headless browser frameworks, rotating proxies, CAPTCHA solving, and scaling infrastructure, all of which are handled automatically. JavaScript-heavy and dynamic websites render exactly as they would for a human visitor by default. Beyond standard scraping, Gaffa supports AI-driven structured data extraction (extract data into a defined schema without writing CSS selectors), screenshot and PDF capture, infinite-scroll and form-filling automation, and clean Markdown conversion for feeding webpages directly into LLM and RAG pipelines. A rotating residential proxy network keeps access reliable across regions, and a credit-based pricing model means teams pay only for the browser time and bandwidth they actually use. Gaffa is designed for AI engineers, data teams, and developers who want production-grade web data extraction without having to build and maintain their own infrastructure.

Crawlora is an innovative platform designed for structured web data acquisition. Instead of investing time in the development and upkeep of scrapers, users can simply interact with well-documented REST endpoints or utilize 319 hosted MCP tools to obtain normalized JSON data rather than having to parse through HTML. The platform encompasses 393 endpoints that cater to various categories including search engines (Google, Bing, Brave), mapping services, e-commerce platforms (Amazon, eBay, Shopify), app stores, social media channels (TikTok, YouTube, Instagram, Reddit), reviews, and financial data. Crawlora effectively manages tasks such as proxy rotation, headless-browser rendering, and handling retries, allowing your team to focus on deploying data-driven features rather than managing scraping infrastructure. Additionally, the same endpoints are made accessible through a Model Context Protocol (MCP) server, enabling AI agents in tools like Claude, Cursor, Cline, or n8n to seamlessly pull real-time web data using a single header. The pricing model is based on a pay-on-success structure, meaning users are only charged for successful (2xx) responses, which is complemented by a free tier offering 2,000 credits per month without requiring a credit card, along with a public Playground feature that allows users to test any endpoint and view the resulting JSON prior to implementing code. This user-friendly approach makes Crawlora an attractive option for businesses looking to streamline their data collection processes.

Microlink is an efficient, scalable, and dependable high-level API that manages a headless browser as a service, transforming any website into structured data, images, PDFs, metadata, link previews, and performance analytics. It provides specialized endpoints for various functions such as metadata extraction, complete and element-specific screenshots, PDF creation, SDK-driven link previews, performance insights based on Lighthouse, and favicon extraction, all of which are easily accessible through a straightforward, declarative RESTful interface featuring interactive documentation. Utilizing a highly optimized, serverless infrastructure supported by a global content delivery network with more than 240 edge locations, Microlink promises an impressive 99.9% uptime, along with integrated caching, request isolation, and automated proxy resolution without the need for shared browser instances. Users can enjoy customizable functionalities, including adjustable time-to-live, personalized HTTP headers, and effortless scaling from introductory trials to millions of requests monthly. Furthermore, security compliance is guaranteed through isolated browser sessions for each request, ensuring user data is safeguarded. Microlink's robust features make it a comprehensive solution for developers looking to harness web data efficiently.

ScraperAPI offers a robust and easy-to-use web scraping API designed to collect data from virtually any public website, eliminating the hassle of proxies, CAPTCHAs, or browser configurations. It supports a variety of scraping solutions, including plug-and-play APIs, structured data endpoints for major platforms like Amazon and Google, and asynchronous request handling for massive scale operations. The platform converts complicated web data into clean, structured JSON or CSV, making it simple to integrate into analytics or dashboards. With features like automated proxy rotation and global geotargeting, users can scrape localized data from over 50 countries without being blocked. ScraperAPI allows users to automate entire data pipelines without writing code, saving valuable engineering time and resources. The service is GDPR and CCPA compliant and boasts a generous free tier alongside enterprise-grade support. Companies rely on ScraperAPI to streamline data extraction, improve response times, and maintain high success rates on difficult sites. This makes it a trusted tool for businesses aiming to leverage data for market research, ecommerce intelligence, SEO tracking, and more.

Browserfoundry is an API service based in the cloud, designed for developers who are creating AI agents, research instruments, and data-driven products that require up-to-date web information. It offers a variety of endpoints that deliver web search results, convert pages to Markdown, generate cited answers, support multi-step research, handle batch search tasks, provide Google search result data in JSON format, and facilitate remote Chrome browser sessions. These features are accessible through an API and an MCP server, complete with documented integrations for AI coding tools, agent frameworks, and workflow automation systems. Organizations can leverage this service to incorporate web retrieval into their retrieval-augmented generation workflows, automate the collection of sources, extract information from publicly available web pages, and enable software agents to interact with browser-rendered sites. Furthermore, the cloud-hosted offerings for browser sessions, search, and extraction make this product suitable for programmatic use, distinguishing it from conventional consumer web browsers. This versatility allows teams to optimize their data processes and enhance the capabilities of their AI applications seamlessly.

PrismCrawl is an API designed for developers and businesses seeking structured data from the internet in real-time. It offers live data from Google and Bing search engine results pages (SERPs), Google Maps, and features pagination alongside targeting options based on country, language, location, and device. The results are delivered in a clean JSON format, making them suitable for various applications, data pipelines, SEO tools, research, automation, and artificial intelligence projects. By managing the infrastructure necessary for live web data retrieval, PrismCrawl eliminates the complexities of creating and maintaining custom scraping systems. Additionally, it features request history and useful debugging tools, operates on a prepaid credit system without any recurring subscription fees, and only charges for successful requests, with pricing beginning at $0.15 per 1,000 SERPs at high volumes. As the platform evolves, it is aiming to broaden its capabilities to facilitate general-purpose web data extraction from nearly any active website, enhancing its value to users. This growth will provide even more opportunities for businesses to leverage web data effectively.

ScraperSocial is a web-based REST API and MCP server designed to provide access to a variety of publicly available data, including social media, video, commerce, reviews, search results, and developer resources, all formatted in JSON. It serves as a valuable tool for developers, data analysts, marketers, researchers, and those building AI agents, allowing users to obtain public profiles, posts, engagement metrics, comments, keyword and hashtag analytics, reviews, trending products, video transcripts, and summaries sourced from various platforms. The API includes well-documented endpoints that utilize a consistent response format, feature API-key authentication, and detail usage credits specific to each endpoint, while its MCP server provides essential tools for agent client interactions. Frequent applications of this service encompass activities such as social listening, influencer and creator analysis, market research, content evaluation, and the integration of public data into applications, analytic workflows, and AI processes. Accessible online, the service comes complete with comprehensive API documentation and an OpenAPI specification, ensuring that users have the necessary resources for seamless integration and effective use. As a result, it empowers users to harness data-driven insights in their respective fields.

UseScraper is an efficient and robust API for web crawling and scraping, crafted for optimal speed and effectiveness. Users can quickly obtain page content by simply entering the URL of any website, retrieving the desired information within seconds. For those who require extensive data extraction capabilities, the Crawler can access sitemaps and conduct link crawling, efficiently handling thousands of pages each minute thanks to its auto-scaling infrastructure. The platform offers versatile output options, including plain text, HTML, and Markdown formats, to meet diverse data processing requirements. By employing a real Chrome browser that allows for JavaScript rendering, UseScraper guarantees the accurate processing of even the most intricate web pages. Its features encompass multi-site crawling, the ability to exclude specific URLs or site components, webhook notifications for crawl job updates, and a data store that can be accessed through an API. Additionally, users can choose between a flexible pay-as-you-go plan, which accommodates 10 concurrent jobs at a cost of $1 per 1,000 web pages, or a Pro plan priced at $99 per month, offering advanced proxies, unlimited concurrent jobs, and priority customer support. The combination of these features makes UseScraper an ideal choice for businesses looking to enhance their web data extraction processes efficiently.

CaptureKit is a web scraping API that allows developers and businesses automate the extraction and visualization of web content. CaptureKit lets users capture high-resolution screenshots of websites, extract structured data and retrieve metadata. They can also scrape links and generate AI-powered summaries with just one API request. Key Features & Benefits - Capture high quality full-page or Viewport screenshots in various formats, ensuring pixel perfect captures. Upload Screenshots to S3 - Automatically upload screenshots into Amazon S3 to make storage and access easier. - Extract HTML, Metadata, and structured data from websites for SEO audits, automation, and research. - Retrieve internal and external links for SEO analysis, backlink research, or content discovery. - Create concise AI-powered summaries for web content to easily extract key insights.

XCrawl is a powerful, AI-driven web scraping solution built to help businesses and developers collect structured data from the internet efficiently. It provides multiple APIs, including Scrape, Crawl, SERP, and Map APIs, enabling users to extract data from individual pages or entire websites with ease. The platform outputs clean and structured data in formats such as JSON, Markdown, and screenshots, eliminating the need for manual data processing. Designed for modern workflows, XCrawl supports integration with AI agents, automation tools, and no-code platforms like n8n. Its advanced infrastructure includes rotating residential proxies and sophisticated anti-bot evasion techniques to ensure consistent data extraction from even the most protected websites. XCrawl is particularly useful for applications such as SEO analysis, market research, competitive intelligence, and lead generation. The platform also supports real-time data collection, which is critical for AI models and dynamic decision-making. With a high data extraction success rate, users can rely on XCrawl for accurate and dependable results. It simplifies the complexities of web scraping by offering a unified API for multiple use cases. Additionally, its scalable architecture allows businesses to handle everything from small projects to enterprise-level data operations. XCrawl ultimately enables organizations to transform web data into meaningful insights for smarter strategies.

FineData.ai serves as a web-scraping API and MCP server designed specifically for developers and AI-agent workflows that require data extraction from either public or authorized web resources. Users can send a URL via REST or an MCP client to obtain page content in various formats, including Markdown, text, links, screenshots, or raw HTML, and they can also request structured JSON by utilizing selectors, a JSON schema, or an extraction prompt. The service includes optional features like browser rendering, proxy routing, targeting specific countries, handling CAPTCHA challenges, and managing asynchronous jobs, making it adaptable for varying page types and collection needs. Among its documented applications are monitoring prices and catalogs, tracking property listings, conducting market research, generating leads, and overseeing search results for users' domains. The pricing model is based on token usage, and users are not charged for unsuccessful scrapes. The API is compatible with programming languages such as Python and JavaScript, in addition to standard HTTP clients, while the MCP server is capable of connecting with various clients, including Cursor and Claude Desktop. This versatility ensures that FineData.ai can cater to a wide range of data scraping requirements, enhancing productivity for developers and data analysts alike.

Geekflare is a comprehensive suite of cloud-based REST APIs designed to enable developers to extract structured data seamlessly from the internet. It facilitates scraping, searching, and content extraction in formats that are optimized for applications involving AI, automation, and monitoring. By utilizing Geekflare, developers can avoid the complexities of constructing and managing their own scraping infrastructure, as the platform efficiently takes care of proxy rotation, CAPTCHA resolution, and rendering of JavaScript content. The output generated by this platform is delivered in clean Markdown or JSON formats, which makes it ideal for integration with LLMs, Retrieval-Augmented Generation systems, and AI-driven agents, alongside conventional applications such as SEO audits, competitor analysis, and domain verification tasks. The suite includes various APIs, such as: - Web Scraping (with support for JavaScript rendering) - Search (providing real-time web search capabilities ready for agents) - Screenshot (offering full-page, pixel-perfect image captures) - Meta Scraping (extracting Open Graph tags, JSON-LD, and page metadata) - DNS Lookup (covering A, MX, TXT, SPF, DKIM, and DMARC records) - Redirect Checker (capable of tracing the complete redirect chain) Overall, Geekflare simplifies the process of data extraction and enhances developer efficiency.

GcrawlAI serves as a comprehensive API for web scraping and crawling, catering specifically to developers and data teams seeking up-to-date website information to incorporate into their applications and data workflows. It offers functionalities such as scraping specific pages, crawling entire domains, mapping URLs, executing batch requests, conducting web searches, and capturing screenshots of web pages. The responses generated can be provided in various formats, including cleaned Markdown, raw HTML, structured JSON, SEO metadata, and image files. Additionally, the service includes features for JavaScript rendering and proxy-based anti-bot measures. Users have the flexibility to utilize synchronous requests, set up asynchronous jobs, and opt for webhook delivery for extensive crawls. With the provision of official SDKs for Python and Node.js, as well as REST endpoints, seamless integration with existing software systems and AI workflows is achievable. Clients can select between a managed cloud API or the option to self-host the MIT-licensed engine, making it adaptable to diverse operational needs. This product targets a wide range of users, including developers, AI and data teams, and businesses focused on web research, data extraction, price tracking, and retrieval-augmented generation pipelines, thus broadening its applicability in various industries. Its robust set of features positions it as a valuable tool for anyone needing efficient and effective web data collection.

Scrapingdog is a robust web scraping API that expertly manages millions of proxies, browsers, and CAPTCHAs, enabling users to retrieve HTML data from any webpage with a single API request. Additionally, it offers a Web Scraper extension for both Chrome and Firefox, along with software designed for immediate web scraping requirements. Users can also access APIs for platforms like LinkedIn and Google Search. Scrapingdog ensures seamless IP rotation with every request, utilizing a vast pool of proxies, and effortlessly circumvents CAPTCHAs to deliver the necessary data. Your web scraping endeavors will face no obstacles, as you can submit website URLs and receive the crawled information directly to your preferred webhook endpoint. The service manages all queues and scheduling, allowing you to simply invoke the asynchronous API and begin receiving scraping data without delay. Utilizing the Chrome browser in headless mode, Scrapingdog renders web pages just like a regular browser, meaning you won't need to provide any additional headers for the web scraping API to function. With the latest Chrome driver employed for scraping, you can expect up-to-date and accurate data extraction from your desired webpages, making it an indispensable tool for developers and businesses alike.

OpenGraph.io is a web API service designed for developers, enabling them to retrieve and deliver structured metadata from any specified URL, focusing primarily on Open Graph tags like title, description, image, and essential page details, which allows applications to create enriched link previews, embed contextual content, and streamline metadata extraction without the need for custom scraping solutions. It also effectively handles pages that do not have clearly defined Open Graph tags by deducing absent values from the HTML of the page, and it provides various endpoint functionalities, including the extraction of pure Open Graph tags, comprehensive content extraction (which includes headers, paragraphs, and structured page text), complete HTML scraping that supports JavaScript rendering, and rapid screenshot capturing for visual representations of web pages. The API consistently delivers data in a JSON format that is specifically designed for integration into workflows, dashboards, applications, and marketing or content platforms, allowing developers to access it programmatically with the use of API keys, SDKs, or standard HTTP requests. Furthermore, this versatility makes it an invaluable tool for developers aiming to enhance user experience through rich content delivery.

Olostep stands out as an API platform designed for web data extraction, catering to both AI developers and programmers by facilitating the quick and dependable retrieval of organized data from publicly available websites. The platform allows users to scrape individual URLs, perform comprehensive site crawls even in the absence of a sitemap, and submit large batches of approximately 100,000 URLs for extensive data collection; it can return data in various formats including HTML, Markdown, PDF, or JSON, while custom parsing options enable users to extract precisely the data structure they require. Among its many features are complete JavaScript rendering, access to premium residential IPs along with proxy rotation, effective CAPTCHA resolution, and built-in tools for managing rate limits or recovering from failed requests. Additionally, Olostep excels in PDF and DOCX parsing and provides browser automation functions such as clicking, scrolling, and waiting, which enhance its usability. The platform is designed to manage high volumes of traffic, processing millions of requests daily, and promotes affordability by asserting a cost reduction of up to 90% compared to traditional solutions, complemented by free trial credits for teams to evaluate the API's capabilities before committing to a plan. With such comprehensive offerings, Olostep has positioned itself as a valuable resource for developers seeking efficient data extraction solutions.

Retrieve HTML content from any website effortlessly through a straightforward API request, allowing ScrapeUp to take care of proxies, browser operations, and CAPTCHA challenges for you. Begin your journey with an impressive offer of 10,000 complimentary API calls without the need to provide any payment details. Our system employs real Chrome browsers that are undetectable, coupled with an automatic CAPTCHA bypass feature. We ensure high reliability by utilizing a combination of data center, residential, and mobile proxies. You have the power to influence our future developments by voting for suggestions or proposing new features. Scrape any web page with just a single API call, eliminating concerns about managing proxy pools and CAPTCHA verifications. ScrapeUp utilizes genuine Chrome browsers within a sophisticated proxy network, and when you invoke our API, we initiate a browser instance, link it to a proxy, and fetch the required website data. Scraping multiple pages or dealing with infinite scrolls is simplified through our efficient API solution. We manage thousands of headless instances operating on the latest version of Chrome, making our service undetectable and capable of handling JavaScript-rendered pages seamlessly. With such robust capabilities, your web scraping tasks will become not just easier, but also more efficient and reliable than ever before.

StealthASF offers a web-scraping API tailored for developers and data teams, enabling them to gather content from various websites through scripts and data pipelines. Users can input page URLs to obtain either the raw HTML or specific extracted data like links, text, images, tables, metadata, and headings. The API supports various request methods, including basic HTTP fetching, browser requests capable of rendering JavaScript, and advanced fetching to bypass anti-bot measures. In automatic mode, it starts with a standard request that can adapt and escalate if a website imposes blocks. Additionally, the service provides users with insights into request status and credit consumption, allows for targeting specific countries under certain plans, and features a user-friendly dashboard for managing API access. This versatile tool is commonly utilized for gathering public web content to facilitate monitoring, conduct research, and enable downstream data analysis. Furthermore, its adaptability makes it a valuable asset for any data-driven project requiring web information retrieval.

Crawl4AI is an open-source web crawler and scraper tailored for large language models, AI agents, and data processing workflows. It efficiently produces clean Markdown that aligns with retrieval-augmented generation (RAG) pipelines or can be directly integrated into LLMs, while also employing structured extraction techniques through CSS, XPath, or LLM-driven methods. The platform provides sophisticated browser management capabilities, including features such as hooks, proxies, stealth modes, and session reuse, facilitating enhanced user control. Prioritizing high performance, Crawl4AI utilizes parallel crawling and chunk-based extraction methods, making it suitable for real-time applications. Furthermore, the platform is completely open-source, allowing unrestricted access without the need for API keys or subscription fees, and it is highly adjustable to cater to a variety of data extraction requirements. Its fundamental principles revolve around democratizing access to data by being free, transparent, and customizable, as well as being conducive to LLM utilization by offering well-structured text, images, and metadata that AI models can easily process. In addition, the community-driven nature of Crawl4AI encourages contributions and collaboration, fostering a rich ecosystem for continuous improvement and innovation.

Concentrate on achieving your goals while we provide you with the essential tools tailored for your web scraping needs. With a straightforward API call, you can extract raw HTML from any website and supply your entire organization with easily digestible data. We take care of proxies, handle JavaScript rendering through actual browsers, and solve CAPTCHAs effortlessly. Access comprehensive Amazon product information across all categories and countries in formats like JSON, CSV, or HTML. Scrape detailed data including reviews, pricing, product descriptions, ASIN information, top sellers, new arrivals, and special offers. Our service efficiently handles all proxy-related tasks, ranging from rotating proxies to connecting with extensive residential and data center proxy networks, as well as implementing geotargeting and circumventing rate limitations. Utilize our cloud infrastructure to render the pages you need for scraping with actual browsers, featuring robust browser management, resource isolation, seamless scalability, and guaranteed high availability to enhance your web scraping experience. This ensures you can focus on extracting valuable insights while we manage the complexities of web data extraction.

Ujeebu is an API set for web scraping at scale. Ujeebu is a set of APIs for web scraping and content extraction at scale. It uses proxies, headless browsers and JavaScript to circumvent blocks and extract data using a simple API. Ujeebu features an AI-powered automatic content extractor which removes boilerplate, identifies key information written in human languages and allows developers to harvest data online with minimal programming or model training.

Browserless is a cloud-based web scraping and browser automation platform built to help developers access, extract, and automate data collection from websites protected by advanced bot detection systems. The platform uses BrowserQL and Chrome DevTools Protocol-level browser control to bypass anti-bot protections such as Cloudflare, Datadome, and other detection technologies commonly used to block automated traffic. Browserless supports multiple scraping workflows including HTML extraction, JSON output generation, screenshot capture, browser rendering, and complex browser automation using standard Puppeteer and Playwright libraries. Developers can use the platform to navigate dynamic websites, interact with page elements, execute scripts, click buttons, and automate browser-based workflows without managing their own headless browser infrastructure. Session reconnect functionality allows users to preserve cookies, session data, and browser states, reducing repeated page loads and lowering proxy usage during large-scale scraping operations. Browserless also offers WebSocket endpoints that integrate directly with automation tools and frameworks for greater workflow flexibility and customization. The platform’s optimized infrastructure delivers faster scraping performance compared to self-managed browser environments while simplifying deployment and maintenance. Security and compliance features including SOC 2 Type II certification, GDPR compliance, HIPAA compliance, and available DPAs help organizations maintain secure and compliant data operations.

Jaunt is a Java library tailored for web scraping, web automation, and querying JSON data. It features a lightweight, fast headless browser that allows Java applications to execute web scraping, manage forms, and interact with RESTful APIs. This library can parse various formats such as HTML, XHTML, XML, and JSON, while also providing functionalities like manipulation of HTTP headers and cookies, support for proxies, and options for customizable caching. Although Jaunt does not execute JavaScript, users looking to automate JavaScript-capable browsers are encouraged to use Jauntium. Distributed under the Apache License, Jaunt has a monthly version that requires periodic updates, compelling users to download the latest release once it expires. It is particularly effective for tasks that involve extracting and parsing data from web pages, submitting filled forms, and managing HTTP requests and responses. Additionally, users can find extensive tutorials and documentation to help them efficiently navigate and utilize the features of Jaunt, making it an accessible choice for developers.

Scrapy is a high-level framework designed for fast web crawling and scraping, enabling users to navigate websites and retrieve structured data from their content. It serves a variety of applications, including data mining, web monitoring, and automated testing. The framework comes equipped with advanced tools for selecting and extracting information from HTML and XML documents, utilizing enhanced CSS selectors and XPath expressions, as well as providing convenient methods for regular expression extraction. Additionally, it supports generating feed exports in various formats such as JSON, CSV, and XML, with the capability to store these outputs in diverse backends including FTP, S3, and local file systems. Scrapy also features robust encoding support that automatically detects and handles foreign, non-standard, and broken encoding declarations, ensuring reliable data processing. Overall, this versatility makes Scrapy a powerful tool for developers and data analysts alike.

TwitterAPIs serves as a hosted data API for Twitter/X, catering to developers, researchers, data teams, and those constructing AI agents. It features REST endpoints that facilitate searches for posts, retrieval of tweet details and threads, access to user profiles and timelines, as well as management of followers, following, lists, and trends. Utilizing bearer-key authentication, the API returns data in JSON format and offers comprehensive documentation through its OpenAPI specification. Users can easily integrate it with MCP-compatible assistants via its MCP server or utilize it through automation platforms via HTTP calls. Additionally, linked-account endpoints enable users to perform actions like posting, liking, and following other accounts. Standard reading requests are charged on a per-request basis, with certain endpoints incurring higher fees; however, new users are granted usage credits. Operating as an independent third-party service, TwitterAPIs is not connected to X and provides essential support for application development, social data gathering, monitoring capabilities, and AI agent workflows that necessitate access to X data without requiring a developer account with X. This makes it a versatile tool for those looking to leverage Twitter’s data in various innovative ways.

Social Fetch is an API that operates on the REST architecture, offering direct access to organized JSON data encompassing public posts, user profiles, comments, engagement statistics, transcripts, and search outcomes from various platforms such as Instagram, TikTok, X/Twitter, YouTube, Facebook, LinkedIn, Reddit, Threads, Telegram, GitHub, Spotify, Rumble, and other web pages. By handling all the complexities of scraping infrastructure, including proxies, headless browsers, alterations in the DOM, and limitations on request frequency, it delivers a consistent cross-platform schema, enabling developers to easily integrate or switch between different platforms without the need to modify their client-side logic. This makes it a valuable tool for developers seeking to streamline their workflow and enhance their applications with minimal friction.

PulpMiner empowers users to convert any public webpage into a custom API without writing a single line of code. Users can input a URL and optionally supply a JSON template, or let the AI infer the structure directly from the page. Once set up, it generates a RESTful API that serves up structured, real-time or cached JSON responses. The system avoids browser rendering by using a high-speed, non-blocking scraper that bypasses common anti-bot measures. Powered by Cloudflare Workers, it delivers globally-distributed performance. The service operates on a pay-as-you-go credit system, with usage costs tied to API calls and AI generation tasks, and secure login is handled through Clerk authentication.

Tabstack is a managed web extraction, research, and automation API designed to help developers build live-web features without maintaining browser infrastructure or scraping pipelines. Users can send a URL, structured schema, research question, or plain-language task and receive clean data, cited research, or completed web actions from a single API call. The platform includes endpoints for extracting schema-matched JSON, converting pages into clean Markdown, generating structured outputs, running cited research agents, and automating browser tasks. Tabstack handles the reasoning, rendering, schema enforcement, browser execution, and orchestration behind the scenes so teams can focus on building products instead of managing extraction systems. Its research endpoint reads the live web, selects sources, synthesizes answers, and returns citations on claims, making it useful for trustworthy research agents. Its automation endpoint can navigate, click, fill forms, and complete multi-step workflows on third-party sites, with interactive pauses when human input is needed. Tabstack also supports TypeScript and Python SDKs, MCP integration, CLI access, and streaming responses over SSE. Developers can use it for lead enrichment, competitive monitoring, knowledge base ingestion, workflow automation, booking flows, product data extraction, and in-app research. With privacy controls, no model training on user data, and plans ranging from free credits to enterprise quotas, Tabstack gives teams a practical backend for AI agents that need to understand and act on the web.

Geonode helps businesses and developers access public web information through a global proxy network and automated data collection tools. Operating its own residential proxy infrastructure, Geonode provides geographic coverage across approximately 200 countries. Its solutions include rotating residential proxies, unlimited residential plans, ISP proxies, and datacenter proxies, with options for geographic targeting and sticky connections. The Geonode Scraper API simplifies collecting content from websites, including JavaScript-rendered pages. Developers can use its scraping, crawling, search, and URL mapping capabilities to build automated workflows. Common applications include e-commerce research, price tracking, advertising verification, competitive intelligence, and search analysis. Geonode offers flexible plans and developer resources to support a range of business needs.

apiJuice is a revolutionary platform powered by AI that transforms any webpage into a personalized, hosted API, providing clean and structured JSON responses without the need for coding or manual scraping. Users can effortlessly input a URL and specify their data requirements in straightforward language; the AI then generates a customized API endpoint or n8n node that supplies precisely the needed information. This functionality allows both developers and those lacking technical skills to swiftly obtain structured data for integration into applications or workflows. The entire experience is quick and user-friendly, taking mere seconds to set up while removing the challenges associated with building web scrapers or developing extraction logic from the ground up. Designed to simplify the process of data extraction and implementation, apiJuice enhances accessibility and efficiency across diverse applications. Additionally, it empowers users to streamline their operations, ultimately leading to more productive data management practices.

Obtain precise and usable data to elevate your business significantly. With our advanced online web scraping solution, you can seamlessly access a wide range of services. Whether it's JavaScript, AJAX, or any dynamic site, ProWebScraper is equipped to assist you in gathering data from all sources. You can navigate through websites with intricate structures, including categories, subcategories, pagination, and product pages, to extract an array of content such as text, links, tables, and high-quality images. Additionally, the ProWebScraper REST API can swiftly pull data from web pages, delivering rapid responses in mere seconds. Our APIs facilitate the direct integration of organized web data into your business workflows, enhancing applications, analyses, and visualization tools. Concentrate on developing your product while we manage the complexities of web data infrastructure. We are ready to initiate your first web scraping project, guiding you through the process to ensure you maximize our solution's potential. Moreover, we pride ourselves on providing quick and effective customer support, guaranteeing that your experience with us is both pleasant and productive.

Webparsers is a platform designed for web data extraction and scraping, catering to businesses and data teams. It offers a variety of scraper APIs and managed data collection services that allow users to retrieve information from various websites, track changes over time, and present results in formats like XLSX, CSV, JSON, and Google Sheets. Teams leverage the gathered data for purposes such as monitoring competitors and prices, analyzing product and stock availability, conducting lead and company research, exploring job and property listings, gathering reviews, and performing market analysis. The platform accommodates one-time, scheduled, or near-real-time data extraction, featuring customizable pipelines and data feeds for continuous collection and organized output. Developers benefit from access to API endpoints and an MCP server, while organizations lacking dedicated scraping capabilities can request customized data solutions tailored to their specific needs. Webparsers is particularly valuable for e-commerce, analytics, and various business teams that aim to convert publicly accessible online information into actionable datasets and competitive intelligence, ensuring they stay ahead in their respective industries. Additionally, the platform’s flexibility allows teams to adapt their data strategies as market conditions change.

We oversee a multitude of headless instances utilizing the most recent version of Chrome. Concentrate on gathering the data you require instead of managing multiple headless browsers that could deplete your RAM and CPU resources. With our extensive proxy network, you can circumvent website rate limits, reduce the likelihood of being blocked, and conceal your automated processes! The ScrapingBee web scraping API excels at various scraping tasks such as real estate data collection, price tracking, and extracting reviews without facing blocks. Additionally, if your scraping needs involve clicking, scrolling, waiting for elements to load, or executing custom JavaScript on the target site, our JS scenario feature has you covered. For those who prefer not to code, our Make integration allows you to develop personalized web scraping solutions effortlessly, requiring no programming knowledge whatsoever! This flexibility enables users to adapt the scraping process to their specific needs seamlessly.

Leverage our vast network of over 35 million datacenter and residential IP addresses from various global ISPs, featuring real devices, smart retries, and IP rotation. Select from more than 100 global locations for your web scraping API requests, or opt for random geo-targets that cover numerous major cities around the world. The scrapestack API is designed to provide a straightforward REST API interface for large-scale web page scraping, eliminating the need to manually manage geolocations, IP blocks, or CAPTCHAs. It includes a range of essential web scraping functionalities, such as JavaScript rendering, customizable HTTP headers, diverse geo-target options, and support for POST/PUT requests, along with the choice to utilize premium residential proxies as an alternative to datacenter proxies. Additionally, this API is tailored to enhance your web scraping experience by ensuring reliability and efficiency.

We offer comprehensive web crawling and data scraping solutions tailored for B2B needs. Our service automatically identifies and retrieves information from websites, delivering the results in easily accessible formats like Excel or CSV. This can be conveniently operated as an extension within Chrome or Edge browsers. Our web scraping service is fully managed; we develop, execute, and oversee the robots based on your specific requirements. The extracted data can be seamlessly integrated into your database or API. Clients have access to a customer portal where they can view data, source code, statistics, and detailed reports. With a guaranteed service level agreement (SLA) and outstanding customer support, we ensure a reliable experience. Additionally, our platform allows you to create your own scraping robots using JavaScript, making it simple to develop with JavaScript and jQuery. Equipped with a robust engine that utilizes the full capabilities of the Chrome browser, our service is both auto-scaling and dependable. For those interested, we invite you to reach out for demo space approval to explore our offerings. With our advanced tools, you can unlock new data insights for your business.

Diggernaut serves as a cloud-based platform designed for web scraping, data extraction, and other ETL (Extract, Transform, Load) processes. For resellers who face challenges obtaining data from their suppliers in accessible formats like Excel or CSV, manual data collection from supplier websites becomes a necessity. By simply setting up a digger, a small automated tool, users can efficiently scrape data from various websites, standardize it, and store it in the cloud. After the scraping is completed, users have the option to download their data in formats such as CSV, XLS, or JSON, or even access it through our Rest API. This tool enables the collection of product pricing, relevant information, reviews, and ratings from retail websites. Additionally, it allows users to gather diverse event-related information occurring in various global locations, headlines from multiple news agencies, and government reports from departments like police and fire services, as well as access to legal documents. Ultimately, Diggernaut simplifies the data acquisition process across a wide range of sectors.

FlyByAPIs provides a collection of REST APIs that enable developers to access real-time web data without the need to manage their own scrapers or proxy infrastructures. This comprehensive toolkit includes access to Google Search results, Google Maps business information, Amazon's product listings and pricing details, Crunchbase company data, and translation services in various formats. Each API endpoint delivers organized JSON responses and directs requests through the appropriate country to ensure accurate localization. Additionally, all APIs offer a free tier, with usage-based charges available via RapidAPI as users increase their consumption. Designed specifically for agencies, SaaS teams, and independent developers, FlyByAPIs ensures reliable data streams while minimizing maintenance responsibilities, thereby allowing users to focus on their core objectives. This service is an invaluable resource for those seeking straightforward and efficient access to web-based data.

Web Scraping API and Proxy Server ZenRows API manages rotating proxy, headless browsers, and CAPTCHAs. With a simple API call, you can easily collect content from any website. ZenRows can bypass any anti-bot blocking system to help get the information you need. We offer several options, such as Javascript rendering or Premium proxy. The autoparse option will automatically return structured data. It will convert unstructured data into structured data (JSON output) without the need for code. ZenRows provides high accuracy and success rates without the need for human intervention. It will take care of all the details. Premium Proxies are required for domains that are particularly complex (e.g. Instagram). The success rate for all domains will be equal after they are enabled. If the request returns an error, it will not be charged nor computed. Only successful requests will be counted.

ScrapeGuys offers a comprehensive web-scraping API that simplifies the process of obtaining structured data by allowing teams to bypass the complexities of developing and managing their own scrapers. Users can access a versioned JSON API to receive clean, standardized data while the service takes care of anti-bot measures, provides residential proxy support across 11 regions, and efficiently handles retries along with asynchronous job queues. Typically, jobs are completed in 3-5 seconds, and users can make batch requests of up to 20 at a time, enjoying deterministic hotel searches through Google Place IDs and detailed usage analytics paired with quota management. Additionally, a Managed Cloud Platform (MCP) integration can be requested, enabling AI agents to directly query the data layer for enhanced functionality. The current dataset predominantly focuses on travel-related services such as Google Flights, Google Hotels, Booking.com, Agoda, MakeMyTrip, and Expedia, although the platform is versatile enough to accommodate a variety of targets; e-commerce intelligence regarding prices and SKUs can also be developed upon request. Users can try the service free for a week with a limit of 100 requests per day and no need for a credit card, while growth plans begin at $199 per month for up to 1,000 requests daily, and custom pricing is available for enterprise solutions with no limits on volume. With its user-friendly interface and diverse range of features, ScrapeGuys is positioned as a valuable resource for businesses looking to harness data effectively.

Firecrawl is an open-source web data infrastructure platform built to help AI systems access, understand, and interact with online content more efficiently. Through a powerful API, users can search the web, scrape structured information, and automate interactions across a wide range of websites. The platform converts complex web pages into clean formats such as Markdown, JSON, and visual screenshots, making the data easier for AI models to process. Firecrawl supports dynamic websites with JavaScript rendering capabilities, ensuring content can be extracted even from modern web applications. Its intelligent waiting mechanisms improve scraping reliability by detecting when page content has fully loaded. Developers can automate tasks like clicking buttons, filling forms, scrolling pages, and navigating websites without building custom browser automation systems. The platform also parses files such as PDFs and DOCX documents, expanding the range of accessible content sources. Seamless integrations with AI agents, MCP-compatible clients, and developer workflows simplify deployment and scaling. By combining speed, reliability, and flexibility, Firecrawl serves as a foundational layer for web-connected AI products and research tools.

Serpstack is an API that delivers real-time data from Google Search Engine Results Pages (SERPs) in structured formats like JSON and CSV, catering to developers' needs. It encompasses a diverse array of search result categories, such as organic listings, paid advertisements, images, videos, news, shopping results, and local listings, among others. The API is flexible and allows users to tailor their search queries with parameters including location, device type, language, and user agent, thus ensuring targeted data retrieval. To guarantee dependable data collection, Serpstack utilizes a strong proxy network along with advanced CAPTCHA-solving technologies, eliminating the necessity for manual efforts. Designed for high scalability, it efficiently manages large volumes of requests without queuing, making it ideal for both small businesses and larger enterprises. Additionally, developers benefit from extensive documentation and sample code, streamlining the integration process across various programming languages. This combination of features positions Serpstack as a valuable tool for anyone needing access to comprehensive search data.

Scraping-Bot.io allows you to quickly and efficiently scrape data from URLs without being blocked. It offers APIs that are tailored to your scraping requirements: Raw HTML: To extract the code for a page - Retail: This allows you to retrieve product description, price and currency as well as shipping fees, EAN, brand, and color. - Real Estate: To scrape property listings and collect the description and agency details as well as contact information, location, surface, number, rent or purchase price, etc. To test without coding, use the Live Test on the Dashboard.

Scrapfly provides a comprehensive set of APIs aimed at simplifying the process of web data gathering for developers. Their web scraping API is designed to effectively extract content from web pages, adeptly managing obstacles such as anti-scraping technologies and the complexities of JavaScript rendering. The Extraction API employs advanced AI and large language models to analyze documents and retrieve structured information, while the screenshot API captures high-definition images of web pages. These tools are engineered to scale, guaranteeing both reliability and performance as data requirements increase. Additionally, Scrapfly offers extensive documentation, SDKs for Python and TypeScript, and connections with platforms like Zapier and Make, making it easy to integrate these solutions into a variety of workflows. Users can take advantage of these features to enhance their data collection processes significantly.

Redditapis serves as a hosted REST API tailored for developers and data teams seeking programmatic interaction with Reddit's content and various account functionalities. By utilizing a bearer token, applications are empowered to access a range of data, including subreddit listings, posts, comments, comment trees, search outcomes, community information, and user profiles, while also being capable of submitting posts or comments, casting votes, and sending direct messages via supported APIs. Additionally, the platform features keyword and subreddit monitoring, providing alerts that can be sent to webhooks, as well as Slack or Discord channels for easy notifications. An optional MCP server enhances the experience by offering search, post, comment, and user tools that integrate seamlessly with compatible AI clients and agent frameworks. Common applications of this service include integrating with other applications, conducting research workflows, monitoring market trends and brand presence, and providing contextual information from Reddit to AI agents. API usage is charged per request, and users can opt for monthly plans based on read volumes and monitoring needs. It is important to note that Redditapis operates independently and is not affiliated with Reddit's official API. The versatility of Redditapis makes it a valuable resource for enhancing user engagement and data analysis across various platforms.

OpenCheese AI serves as a centralized AI gateway and API designed for developers aiming to link various applications and coding tools to a range of AI models via a single service interface. It facilitates compatibility with OpenAI endpoints and offers an Anthropic Messages-compatible interface, featuring functionalities such as model selection, management of API keys, monitoring of usage and balance, and access to AI models from major providers like OpenAI, Anthropic, Google, and DeepSeek. Developers benefit from the ability to set up supported coding clients and applications to route requests through OpenCheese, eliminating the need to handle separate provider credentials for each connection. The platform presents both credit-based usage and time-limited plans that come with included balances, with the availability of models, pricing, and free options varying according to the chosen model and plan. This service is particularly aimed at developers who are in the process of assessing or constructing workflows involving text, coding, and image generation using hosted AI models. Additionally, OpenCheese AI streamlines the integration process, making it simpler for developers to focus on innovation rather than the complexities of managing multiple AI service providers.