BenchRank
#52 in Frameworks & LibrariesUpdated 2026-08

Scrapy

by Scrapy · Open source Python framework for web scraping and crawling

BenchRank score

41.7 — BenchRank score out of 100

Screenshots of Scrapy

Homepage · Scrapy

Homepage of Scrapy

Overview

Scrapy is an open source Python framework for web scraping. `scrapy startproject` lays out a project with spiders, items, pipelines and settings, and `scrapy crawl` runs it. The core covers CSS and XPath selectors, an async engine with throttling, item pipelines and feed exports to JSON, CSV and S3; browser rendering, monitoring and anti-ban come from add-ons.

Best for
Python developers building maintainable crawlers that extract public web data at scale.
Pricing
No prices are shown; the pages describe Scrapy as free, open source and BSD-licensed.

Strengths and trade-offs

Strengths

  • CSS and XPath selectors, mixable, with regex and defaults
  • Scaffolds a full project: spiders, items, pipelines, settings
  • Async engine with throttling; feed exports to JSON, CSV, S3
  • 15+ years of releases, 500+ contributors, maintained by Zyte

Trade-offs

  • Browser rendering, monitoring and anti-ban need separate extensions
  • Python-only; assumes you can write and maintain spider code
  • Reactor-less mode was still experimental at v2.15.0
  • A framework you host yourself, not a managed scraping service

How Scrapy markets itself

A structured read of the promise, proof and page design on Scrapy’s captured homepage.

Homepage capture

“The world's most-used open source data extraction framework”

  • Angle: Developer-first
  • Hero: Terminal / CLI

Pricing

Published plans and prices from Scrapy’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

This doesn’t look right — report a problem with Scrapy’s score

Where this comes from

The Scrapy pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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