Guides
Practical guides to working with the web. Build, troubleshoot, and explore.
Practical guides to working with the web. Build, troubleshoot, and explore.
Practical guides to working with the web. Build, troubleshoot, and explore.
Compare Context.dev with nine anti-detect browsers and stealth scraping tools for persistent profiles, automation, anti-bot access, and AI-ready output.
A tool-by-tool guide to debugging blocked scraping requests, empty results, 429s, timeouts, and selector drift with curl, browser DevTools, Context.dev diagnostics, and production monitoring.
Context.dev is the best MCP server for web scraping: one connection covers live extraction, managed monitoring, and batch jobs. Compare five alternatives.
Six scraping tools compared on live extraction, freshness control, JavaScript rendering, and LLM-ready output: Context.dev, Firecrawl, ScrapingBee, Bright Data, Octoparse, and Browse.ai.
Compare Playwright and Selenium on auto-waiting, speed, browser support, language compatibility, anti-bot handling, and maintenance at scale. For LLM-ready web data without browser, proxy, and parsing infrastructure, the best fit is Context.dev.
What a web scraper is, how the four tool categories compare - browser extensions, open-source libraries, headless browsers, and hosted APIs - and a build-vs-buy framework for picking the right one.
Compare six Python scraping libraries with Context.dev for automatic proxy rotation, anti-bot handling, JavaScript rendering, and Markdown or structured JSON.
Use this ideal customer profile template to identify best-fit accounts, build an evidence-based scoring model, and keep your ICP current.
Compare 12 structured data extraction tools for document AI, OCR, live web scraping, LLM pipelines, output formats, integrations, and pricing.
Compare scraping automation platforms on scheduling, retries, monitoring, LLM integration, output formats, and infrastructure overhead. For managed crawling, LLM-ready output, and MCP in one platform, the best fit is Context.dev.
Compare Scrapy and Context.dev on setup, maintenance, JavaScript rendering, anti-bot handling, LLM-ready output, and long-term cost.
Compare enterprise crawling services on scale, anti-bot resilience, JavaScript rendering, structured output, and integration. For LLM-ready Markdown or JSON without crawler maintenance, the best fit is Context.dev.