List of the Top Web Scraping APIs for Cursor in 2026

Oxylabs is a web intelligence and data collection platform that provides enterprise-grade proxy networks, web scraping infrastructure, browser automation tools, and ready-made datasets. The platform enables organizations to collect publicly available web information for market research, competitive intelligence, pricing analysis, and other data-driven business activities. Its proxy network includes more than 177 million IP addresses across 195 countries, supporting geographically distributed data access requirements. Available proxy types include residential, ISP, mobile, datacenter, and dedicated datacenter proxies for different browsing and extraction workflows. Web Unblocker uses AI-driven technology to handle access challenges presented by websites with sophisticated anti-bot protections. The Web Scraper API manages large-scale data extraction workflows, helping organizations retrieve website information without maintaining extensive custom scraping infrastructure. Agent Browser supports automated browsing and data collection from dynamic websites that require browser interaction and advanced access handling. Oxylabs AI Studio provides no-code data extraction capabilities for users who want to collect website information without developing custom scraping scripts. The platform also offers ready-made datasets containing structured information from industries such as ecommerce and real estate. Oxylabs emphasizes ethical data collection practices, compliance-focused infrastructure, and enterprise support for organizations managing web intelligence operations. The company serves more than 4,000 customers worldwide, including Fortune 500 organizations, and provides 24/7 customer assistance for its proxy and data collection services.

ScraperSocial is an online REST API and MCP server that grants access to a diverse array of publicly accessible data, such as social media interactions, video content, e-commerce information, customer reviews, search results, and developer tools, all presented in JSON format. This platform proves to be an essential resource for developers, marketers, researchers, data analysts, and those creating AI agents, enabling them to gather public profiles, posts, engagement statistics, comments, keyword and hashtag analysis, reviews, trending product information, and video transcripts and summaries from multiple sources. The API features meticulously documented endpoints that maintain a uniform response format, incorporate API-key authentication, and provide usage credits tailored for each endpoint, while its MCP server offers crucial tools for client-agent interactions. Common use cases of this service include social listening, analyzing influencers and creators, conducting market research, evaluating content, and integrating public data into applications, analytic workflows, and AI systems. Available online, the service is equipped with extensive API documentation and an OpenAPI specification, ensuring users have the necessary guidance for smooth integration and effective utilization. Consequently, this platform empowers users to derive actionable insights from data in their respective domains, enhancing their decision-making processes significantly. Furthermore, its user-friendly design and robust features make it an ideal choice for anyone looking to leverage public data effectively.

FineData.ai is a specialized web-scraping API and MCP server tailored for developers and workflows involving AI agents that need to extract data from both public and permitted online sources. By sending a URL through REST or an MCP client, users can retrieve page content in multiple formats, such as Markdown, text, links, screenshots, or raw HTML, and can also request structured JSON by employing selectors, a JSON schema, or an extraction prompt. The service offers additional features like browser rendering, proxy routing, targeting specific geographical locations, managing CAPTCHA challenges, and handling asynchronous jobs, which makes it flexible for different page types and data collection needs. Its diverse applications include monitoring prices and product catalogs, tracking real estate listings, conducting comprehensive market research, generating business leads, and supervising search results pertinent to users' domains. The pricing structure is based on token consumption, and users are not billed for failed scrapes, ensuring cost-effectiveness. The API supports various programming languages, including Python and JavaScript, as well as standard HTTP clients, while the MCP server is capable of interfacing with multiple clients like Cursor and Claude Desktop. This wide-ranging compatibility guarantees that FineData.ai can meet an extensive array of data scraping demands, ultimately boosting efficiency for both developers and data analysts. Moreover, its user-friendly interface and robust documentation further enhance the overall experience for those engaged in data extraction tasks.

TwitterAPIs functions as a dedicated data API for Twitter/X, designed for developers, researchers, data teams, and individuals building AI agents. It provides RESTful endpoints that allow users to search for posts, retrieve information about tweets and threads, access user profiles and timelines, and manage followers, following, lists, and trending topics. Employing bearer-key authentication, the API delivers data in JSON format and is supported by extensive documentation through its OpenAPI specification. Users can seamlessly integrate it with MCP-compatible assistants via its MCP server or utilize it through automation platforms with simple HTTP calls. Furthermore, linked-account endpoints empower users to execute actions such as posting tweets, liking content, and following other accounts. Reading requests are typically billed on a per-request basis, with some specific endpoints attracting higher charges, although newcomers benefit from usage credits. Operating as a standalone third-party service, TwitterAPIs remains independent from X and offers critical assistance for application development, social data collection, monitoring activities, and AI agent workflows that require access to X data without the necessity of a developer account with X. This independence enhances its versatility, making it an invaluable resource for those seeking to creatively exploit Twitter’s data across a multitude of applications. Additionally, the platform supports a range of use cases, from academic research to business analytics, solidifying its role in the data ecosystem.

Redditapis functions as a specialized hosted REST API designed for developers and data teams aiming to engage programmatically with Reddit's array of content and account features. By employing a bearer token, applications gain the ability to retrieve diverse data types, such as subreddit lists, posts, comments, intricate comment trees, search results, community details, and user profiles, while additionally facilitating actions like submitting posts or comments, voting, and sending direct messages through the available APIs. Moreover, the platform supports monitoring of keywords and subreddits, delivering alerts that can be dispatched to webhooks, Slack, or Discord channels for effortless notifications. An optional MCP server enhances user experience by providing tools for searching, posting, commenting, and user management that integrate smoothly with compatible AI clients and agent frameworks. Common use cases for this service involve integrating with various applications, executing research workflows, tracking market trends and brand visibility, as well as supplying contextual data from Reddit to AI agents. The API operates on a pay-per-request basis, and users have the choice of monthly plans tailored to their reading volumes and monitoring requirements. It is crucial to emphasize that Redditapis functions independently and has no affiliation with Reddit's official API. This flexibility and range of features render Redditapis an invaluable tool for improving user interaction and data analysis across numerous platforms, making it an essential addition to any developer's toolkit.

Browserfoundry is a cloud-based API service tailored for developers involved in the creation of AI agents, research tools, and data-centric products that necessitate real-time web data. It provides an array of endpoints that include web search results, the ability to convert web pages into Markdown, the generation of cited responses, multi-step research support, batch search processing, access to Google search result data in JSON format, and remote Chrome browser session facilitation. Users can access these features through both an API and an MCP server, along with thoroughly documented integrations for AI coding environments, agent frameworks, and automation systems. Organizations can harness this service to seamlessly integrate web retrieval into their retrieval-augmented generation processes, automate the gathering of references, extract pertinent information from publicly accessible web pages, and empower software agents to engage with browser-rendered content. Additionally, the cloud-based capabilities for browser sessions, searching, and data extraction position this offering as ideal for programmatic applications, setting it apart from traditional consumer web browsers. This flexibility not only enhances the efficiency of data handling but also significantly boosts the functionality of AI applications, allowing teams to achieve their objectives more effectively. As a result, Browserfoundry stands out as an essential tool for modern developers looking to harness the power of the web in their innovative projects.

Bridgly is an innovative cloud-based API service that provides structured JSON responses for publicly available information gathered from a variety of social media and developer platforms. Featuring an impressive array of 85 unique endpoints, it supplies data on profiles, posts, comments, followers, job openings, companies, repositories, hashtags, videos, and transcripts from well-known sites such as LinkedIn, X, Reddit, GitHub, Instagram, TikTok, and YouTube. Developers can seamlessly interact with these endpoints through HTTPS requests, employ an official TypeScript/JavaScript SDK, utilize a command-line interface, or connect to a hosted Model Context Protocol (MCP) server which is compatible with AI clients. To access the API, users must possess a shared API key and maintain a credit balance, as using the supported platforms requires credits, with each data request deducting an amount based on the endpoint's pricing model. This service is tailored specifically for developers and teams focused on data enrichment, research, monitoring, and AI-agent workflows that capitalize on publicly available data from these platforms. Importantly, the read-only nature of the endpoints means users do not need to link their social media accounts, ensuring a more secure and straightforward experience. As a result, Bridgly enables developers to efficiently gather and utilize public data, making the process of accessing information from multiple sources much more streamlined.

SoldFetch provides developers, pricing analysts, and resellers with comprehensive access to eBay listing data, complemented by analytical tools for pricing evaluation. Users have the capability to browse both completed and current listings, navigate various categories, and extract detailed information about specific items through REST or MCP interfaces. Additionally, the installation of an eBay Skill streamlines agent workflows effectively. The API's responses are designed to maintain contextual relevance regarding displayed prices while addressing any ambiguities related to accepted offers and sale dates. It delivers structured information on listings, including aspects such as pricing, currency, item conditions, shipping choices, seller details, timestamps, and relevant metadata when necessary. Operations of the API are well-documented, featuring a consistent response format that spans multiple eBay marketplaces, which assists teams in researching comparable listings, monitoring price fluctuations, and integrating marketplace insights into their pricing, sourcing, or inventory management frameworks. Users benefit from a free tier that allows for 100 requests, while subscription options commence at $9 monthly, catering to a wide spectrum of user requirements. This adaptability empowers developers to customize the service to suit their unique needs efficiently, ensuring they can leverage the data to enhance their business strategies. Furthermore, the robust nature of the platform encourages ongoing engagement and utilization as users refine their approaches to eBay transactions.