
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.
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Apify provides the infrastructure developers need to build, deploy, and monetize web automation tools. The platform centers on Apify Store, a marketplace featuring 10,000+ community-built Actors. These are serverless programs that scrape websites, automate browser tasks, and power AI agents.
Developers create Actors using JavaScript, Python, or Crawlee (Apify's open-source crawling library), then publish them to the Store. When other users run your Actor, you earn money. Apify manages the infrastructure, handles payments, and processes monthly payouts to thousands of active developers.
Apify Store offers ready-to-use solutions for common use cases: extracting data from Amazon, Google Maps, and social platforms; monitoring prices; generating leads; and much more.
Under the hood, Actors automatically manage proxy rotation, CAPTCHA solving, JavaScript-heavy pages, and headless browser orchestration. The platform scales on demand with 99.95% uptime and maintains SOC2, GDPR, and CCPA compliance.
For workflow automation, Apify connects to Zapier, Make, n8n, and LangChain. The platform also offers an MCP server, enabling AI assistants like Claude to discover and invoke Actors programmatically.
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Crawleo
Crawleo is an innovative API designed for real-time web search and crawling, prioritizing user privacy for AI-driven applications. This tool empowers developers to search the dynamic web, target specific URLs for crawling, and retrieve clean, AI-compatible content through straightforward API endpoints. With its Search API, users receive structured web results and can enable auto-crawling of result pages if desired. Meanwhile, the Crawler API allows for the direct crawling of single or multiple URLs. Crawleo provides various output formats, including Markdown, plain text, cleaned HTML, and raw HTML, ensuring that the data is readily compatible for use in LLM prompts, RAG pipelines, AI agents, automation workflows, research tools, and internal dashboards. Additionally, it offers REST API access, integration with MCP for AI assistants and IDEs, and compatibility with LangChain tools for both agentic and RAG-based applications, enhancing its versatility and utility in diverse projects. As a result, Crawleo stands out as a comprehensive solution for developers seeking to harness the power of real-time web data in their AI initiatives.
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WebCrawlerAPI
WebCrawlerAPI serves as an effective solution for developers aiming to streamline the processes of web crawling and data extraction. It features a user-friendly API that allows users to obtain content from various websites in formats such as text, HTML, or Markdown, which is particularly beneficial for training artificial intelligence models or conducting data-driven operations. With an impressive success rate of 90% and an average crawling duration of 7.3 seconds, this API adeptly navigates challenges including the management of internal links, elimination of duplicates, JavaScript rendering, counteracting anti-bot measures, and accommodating large-scale data storage. Furthermore, it integrates smoothly with a range of programming languages, such as Node.js, Python, PHP, and .NET, enabling developers to initiate projects with minimal code. In addition to these features, WebCrawlerAPI automates the data cleaning process, guaranteeing high-quality results for subsequent usage. Converting HTML into structured text or Markdown can involve intricate parsing rules, and effectively managing multiple crawlers across various servers adds another layer of complexity. Thus, WebCrawlerAPI emerges as an essential resource for developers focused on efficient and effective web data extraction.
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