A practical walkthrough for collecting web data with Spider, from your first crawl to production pipelines.
Guides
Learn to Crawl and Scrape the Web
Practical guides for collecting web data with Spider — from your first crawl to production-grade pipelines.
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An overview of Spider's API capabilities, endpoints, request modes, output formats, and how to get started.
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Extract contact information from any website using Spider's AI-powered pipeline. Emails, phone numbers, and more.
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Archive web pages with Spider. Capture full page resources, automate regular crawls, and store content for long-term access.
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Crawl multiple URLs with Spider's LangChain loader, then summarize the results with Groq and Llama 3.
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Build a crewAI research pipeline that uses Spider to scrape financial data and write stock analysis reports.
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Extract company info from inbound emails, scrape their website with Spider, and generate personalized replies with RAG.
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Set up an Autogen agent that scrapes and crawls websites using the Spider API.
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Route requests through Spider's proxy front-end for easy integration with third-party tools.
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Three methods for crawling pages behind login walls: cookies, execution scripts, and AI-driven actions.
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Scaling web scraping for RAG pipelines. Error-first design, retry strategies, and handling failures at volume.
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Choosing your scraper, cleaning HTML for RAG, deduplicating content, and testing on a single site before scaling up.
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Add full-text static search to any website using Spider and Pagefind.
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Build a research agent that searches the web with Spider, evaluates results, and forms answers with OpenAI.
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Set up Spider Bot on your Discord server to fetch and analyze web data using slash commands.
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Practical strategies for scaling headless Chrome, from container orchestration to Rust-based CDP handlers and ALB configuration.
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Search the web and optionally scrape results in a single API call. Built for LLM pipelines, agents, and data collection.
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