# geekan/scrapy-examples

Multifarious Scrapy examples. Spiders for alexa / amazon / douban / douyu / github / linkedin etc.

Repository: https://github.com/geekan/scrapy-examples
Canonical: https://ross.abutalabs.com/products/scrapy-examples
Language: Python
License Family: other
Last push: 2023-11-03T06:14:04+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4617, "days_push": 1034, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3253, forks 1016 (observed 2026-08-28T04:07:52.188157+00:00)

## What it is
A collection of example Scrapy spiders demonstrating web scraping patterns for sites like Douban, LinkedIn, Zhihu, Alexa, and GitHub. It includes reusable helpers such as CSS-rule-based parsing and proxy/agent middleware to speed up writing new spiders.

## Use cases
- learn scrapy by example
- scrape book listings from douban
- write a spider quickly with css rules
- scrape with rotating proxies and user agents
- bootstrap a new scrapy project
- extract data from linkedin or zhihu profiles

## When to choose
- you are learning Scrapy and want working spider examples
- you need a template with proxy and user-agent middleware already wired up
- you want a quick project scaffold for a new scraper

## When to avoid
- you need a production scraping framework rather than example code
- you require a maintained project with a license and active support
- you are scraping sites whose terms of service prohibit it

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: web-scraping, developer-tools
- domain: crawlers, developer-tools, tutorials
- platform: python, cli, cross-platform
- tags: scrapy, spiders, example-code, proxy-support, web-crawling

## Member repositories
- geekan/scrapy-examples (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:52.188157+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:24:24.442305+00:00, confidence not recorded.
  - readme: https://github.com/geekan/scrapy-examples (fetched 2026-08-28T04:07:52.188157+00:00, sha 96e205c717e1)
- Data as of 2026-08-30T08:39:29.467469+00:00.