1. [Home](https://www.g2.com/) 2. ... 3. [E-Commerce Tools](https://www.g2.com/categories/e-commerce-tools) 4. [Scrapeless Discussions](https://www.g2.com/products/scrapeless/discuss) [ ![Scrapeless](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_7c901c6de1bfe16c1524c5c8b9c08a85/scrapeless.jpg "Scrapeless") ](/products/scrapeless/reviews) # Scrapeless Discussions Scrapeless is a web data and browser automation platform for developers, AI teams, and businesses that need to collect web content, automate browser tasks, and bring external data into their applications. The platform combines Agent Browser, AI Scrapers, Google Search API, Crawl, Web Unlocker, and Proxy Solutions to support everything from individual data collection tasks to ongoing automation and data pipelines. With Scrapeless, teams can work with dynamic websites, retrieve structured search results, collect responses from AI platforms, and turn website content into inputs for research, analytics, and AI applications. Developers can choose the level of control their workflow requires: operate a cloud browser, call a purpose-built extraction API, crawl a website, or connect an existing application through standalone proxies. Scrapeless serves developers building AI agents, data engineers maintaining collection pipelines, SEO and GEO teams monitoring visibility, and businesses conducting market and competitive research. Key Products and Features 1. Agent Browser: Cloud Browsers for Web Scraping and AI Agents Scrapeless Agent Browser provides a managed browser environment for web scraping and interactive automation. Connect with Puppeteer or Playwright to navigate websites, click elements, fill forms, and work with JavaScript-rendered content without maintaining your own browser infrastructure. For workflows that span multiple steps or repeated runs, persistent profiles help preserve browser state. Live View lets developers observe active sessions, while Session Replay helps them review browser activity and investigate failures. Built-in proxy support, fingerprint configuration, and CAPTCHA handling help address common access challenges within the browser workflow. Agent Browser is suitable for dynamic data extraction, browser-based business processes, and AI agents that need to interact with websites. 2. AI Scrapers: AI Responses and Citations for GEO Workflows Scrapeless AI Scrapers collect responses from supported AI platforms, including ChatGPT, Perplexity, Gemini, Microsoft Copilot, Google AI Mode, Google AI Overview, and Grok. Teams submit prompts and retrieve completed task results through an API workflow. Depending on the selected engine and its response, results can include answer text, citations, source links, and other available information. These outputs provide the data foundation for Generative Engine Optimization (GEO), brand visibility research, answer comparisons, and competitive analysis. Marketing and analytics teams can examine how brands and products appear in AI-generated answers, while developers can feed the collected results into their own reporting tools and evaluation pipelines. 3. Google Search API: Structured Search Data for SEO and AI Applications Scrapeless Google Search API retrieves Google search results in structured JSON, helping teams incorporate fresh search data into their products without maintaining search-page parsers or browser collection infrastructure. Developers can configure parameters for location, language, pagination, and search type. Supported search scenarios include Google Search and Google Images, allowing teams to tailor requests to different research requirements. Use Google Search API to build keyword monitoring tools, collect competing search results, research regional markets, or supply current web references to AI assistants and retrieval workflows. Scrapeless handles the underlying proxy and CAPTCHA requirements, allowing developers to focus on how search data is processed and used. 4. Crawl: Website Content for Knowledge Bases and Data Pipelines Scrapeless Crawl supports single-page extraction, batch URL processing, and recursive website crawling. It helps teams collect content across multiple pages without building every part of the crawling infrastructure themselves. Supported output formats include Markdown, HTML, JSON, metadata, links, and screenshots. Teams can select the outputs that fit their downstream systems, whether they need readable text, page structure, discovered links, or visual records. Crawl is suitable for preparing website content for retrieval-augmented generation (RAG), building knowledge bases, collecting research material, and supplying content to data processing workflows. It provides a practical starting point for turning web pages into material that applications can store, search, and analyze. 5. Web Unlocker: API Access to Dynamic Public Web Content Scrapeless Web Unlocker retrieves public web content while handling supported access challenges behind an API request. Its capabilities include browser fingerprint handling, CAPTCHA solving, IP rotation, and automatic retries. For pages that rely on client-side scripts, JavaScript rendering helps retrieve content that may be absent from a basic HTTP response. Teams can then pass the returned content into their own parsing, extraction, or storage systems. Web Unlocker is useful for recurring public web data collection, including product research, competitor monitoring, and market analysis. It reduces the amount of access-handling logic developers need to maintain, with billing based on successful requests. 6. Proxy Solutions: Network Options for Existing Applications Scrapeless offers residential, static ISP, datacenter, and IPv6 proxies for teams that manage their own browsers, HTTP clients, or collection applications. Depending on the selected proxy product, users can configure geographic targeting, supported protocols, and session behavior. Residential proxy options include rotating connections for requests that need fresh IPs and sticky sessions for workflows that need continuity over a configured period. Standalone proxies give teams control over network routing while allowing them to retain their existing application logic. They can support localized research, regional content checks, and distributed data collection workflows. Built for Developers and Existing Workflows Scrapeless provides APIs, SDKs, and MCP tools that help teams connect web data and browser capabilities to their existing systems. Developers can use Puppeteer or Playwright for browser control, integrate product APIs into backend services, or use SDKs for application development. MCP tools provide another way to make supported Scrapeless capabilities available to AI agents and compatible clients. The platform supports different approaches to the same business objective. A team can use Google Search API to discover relevant sources, Crawl to collect website content, and Agent Browser when a workflow requires interactive navigation. Teams that already operate their own collection infrastructure can use standalone proxies instead. This flexibility helps businesses choose the appropriate tool for each task while keeping related web access capabilities within one platform. Common Use Cases • AI agents and browser automation: Give agents access to cloud browsers for navigation, form interactions, and multi-step website workflows. • SEO and search intelligence: Collect localized Google search results for keyword monitoring, competitor research, and search visibility analysis. • GEO and AI visibility research: Gather AI-generated answers and available citations to analyze brand mentions, source visibility, and differences across supported AI platforms. • RAG and knowledge bases: Collect website content in formats such as Markdown and HTML for indexing, retrieval, and application-specific processing. • E-commerce and competitive research: Build workflows that collect public product information, pricing, and other market signals for downstream analysis. • Data engineering and analytics: Incorporate web content, search results, and AI responses into scheduled collection jobs, internal reporting systems, and data pipelines. Why Teams Choose Scrapeless Scrapeless brings browser automation, web extraction, search data, AI response collection, and proxy infrastructure into a single product portfolio. Teams can select purpose-built APIs when they need structured results, cloud browsers when they need interactive control, and standalone proxies when they want to retain their own infrastructure. Managed browser sessions and built-in access-handling capabilities reduce the infrastructure work required to run web workflows. Live View and Session Replay help developers understand browser behavior, while multiple output formats make collected content easier to incorporate into downstream systems. Whether you are building an AI agent, developing a search analytics product, researching AI visibility, or maintaining a web data pipeline, Scrapeless provides the tools to connect your applications with the web. ## Be the first to start the conversation Get answers from real professionals in the G2 community.