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Enterprise Layer Intelligence
Categories/Data Scraping & Extraction/Scrapy
Scrapy

Scrapy

Founded by Shane Evans & Pablo Hoffman in 2008

Crawl websites and extract structured data using an asynchronous Python framework

Pricing model

Free

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Scrapy to crawl websites and extract structured data at scale using Python. It manages concurrent network requests with an asynchronous engine and extracts data using CSS and XPath selectors. You can process, clean, and store scraped records directly into formats like JSON, CSV, or external cloud storage like Amazon S3. The framework supports headless browser rendering with Playwright, custom proxy rotation, and monitoring alerts. You can also connect AI assistants via MCP to inspect, test, and control live web crawls.

What Scrapy does

Define crawling rules to automatically follow pagination linksExtract specific text and attributes using XPath or CSS queriesTest extraction logic interactively in the command-line shellExport scraped items to JSON, CSV, or cloud storageRotate proxy IPs to avoid IP blocking during crawlsRender JavaScript-heavy pages using Playwright integrationValidate scraped field data through custom pipeline scriptsBuilt-in asynchronous request scheduling and concurrencyData extraction via CSS and XPath selectorsInteractive shell to test selectors against live web pagesPluggable item pipelines for data validation and cleaningDirect data export to JSON, CSV, and Amazon S3Model Context Protocol support for AI agent inspectionHeadless browser rendering extension using Playwright

Pricing breakdown

Pricing model: Free

Frequently asked

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Scrapy, web scraping, Python web crawler, data extraction, XPath selectors, CSS selectors, spiders, asynchronous crawling, Playwright integration, data pipelines, JSON export, CSV export, web spider, Zyte, MCP server