Best Web Scraping APIs for Claude

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.

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.

ZooData serves as an agent-native data layer that equips AI systems with refined web content and actionable commerce intelligence through a single integration point. Rather than providing unformatted HTML or static reports intended for human users, it offers structured, token-efficient JSON that agents can immediately utilize for research, analysis, monitoring, and automated decision processes. With the capability to track over 500 million products across platforms like Amazon and TikTok Shop, it offers more than 40 filters to enhance product discovery, facilitate batch processing, and enable extensive opportunity exploration. Its data modules encompass comprehensive category-level market analysis, insights into demand trends, competition density metrics, margin benchmarks, and multidimensional competitor analysis, alongside real-time product signals such as pricing, inventory levels, and Best Sellers Rank. Additionally, it boasts a rich history of over two years' worth of data on prices, sales, ratings, and rankings, which is invaluable for conducting time-series analysis and identifying trends early on. This robust functionality makes ZooData an essential tool for businesses looking to leverage data for strategic advantage.

Derrick is a B2B prospecting and data enrichment platform designed to help sales and marketing teams build contact lists, find decision-makers, and automate lead research. The software provides tools for discovering companies and individuals using natural language queries, LinkedIn, Sales Navigator, Google Maps, and company search filters. Its data enrichment capabilities retrieve professional email addresses, direct phone numbers, LinkedIn profiles, job titles, company attributes, and technology stack information. Multi-source lookup technology searches several data providers to identify matching contact information and verify email addresses before outreach. Derrick includes AI-powered data processing that allows users to score leads, summarize company information, analyze prospect records, and generate customized responses using supported language models. Buying signal monitoring tracks company funding announcements, employee job changes, hiring activity, and other developments that may indicate sales opportunities. The platform operates through a browser-based application, Google Sheets extension, REST API, and MCP integrations for conversational AI assistants such as Claude and ChatGPT. Users can export prospect lists or connect enrichment workflows with La Growth Machine, Lemlist, Zapier, Make, and n8n. Derrick uses a credit-based pricing model and supports workflows that combine lead discovery, contact enrichment, data verification, and sales campaign preparation.

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.

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.

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.