Best Web Scraping APIs for Cursor

Oxylabs is a market leader in web intelligence, helping businesses worldwide turn public web data into actionable insights with enterprise-grade, ethical, and compliant solutions. Its proxy infrastructure spans one of the largest global networks, offering residential, ISP, mobile, datacenter, and dedicated datacenter proxies, along with Web Unblocker – an AI-driven tool that ensures seamless, block-free access to even the most protected sites. On the scraping side, Oxylabs provides a complete ecosystem. The Web Scraper API manages every stage of large-scale data extraction, from proxy management to parsing, while OxyCopilot, an AI-powered assistant, generates parsing requests from simple natural language prompts. For dynamic, bot-protected websites, the Agent Browser, a headless browser designed to mimic human behavior, ensures uninterrupted access. Oxylabs also pioneers AI-driven tools like AI Studio, which enables natural language scraping and crawling so anyone can extract data without writing code. Its ready-made datasets provide instant, structured information across industries such as e-commerce, real estate, travel, and more – accelerating data projects without custom scraping. With the largest proxy services in the market, Oxylabs offers 177M+ IPs across 195 countries and is trusted by 4,000+ clients worldwide, including Fortune 500 companies. Plus, their 24/7 customer service ensures businesses get support whenever it’s needed.

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.

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.

SoldFetch offers developers, pricing specialists, and resellers access to eBay listing information, complete with tools for pricing analysis. Users can search through both sold and active listings, explore different categories, and retrieve specific item details using REST or MCP interfaces. An eBay Skill that can be installed facilitates agent workflows seamlessly. The responses from the API maintain context regarding displayed prices and highlight any uncertainties related to accepted offers and sale dates. It provides structured data on listings, including details like prices, currency, condition, shipping options, seller profiles, timestamps, and other request metadata when applicable. The API's operations are documented with a unified response format across the various eBay marketplaces, which aids teams in researching similar listings, tracking price changes, and integrating marketplace data into their pricing, sourcing, or inventory management systems. Users can access a free tier that includes 100 requests, while subscription plans begin at $9 per month, making it accessible for various user needs. This flexibility enables developers to tailor the service to fit their specific requirements effectively.