# xingag/spider_python

python爬虫

Repository: https://github.com/xingag/spider_python
Canonical: https://ross.abutalabs.com/products/spider_python
Language: Python
License: Apache-2.0
License Family: permissive
Topics: python, python3, urllib, requests, scrapy, xpath, bs4
Last push: 2026-08-07T01:55:40+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 96, release rhythm 35, longevity 100
- inputs: {"age_days": 2912, "days_push": 27, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1152, forks 459 (observed 2026-08-28T04:03:47.224222+00:00)

## What it is
A collection of Python web scraping examples and tutorials covering requests, xpath, BeautifulSoup, regex, multithreading, Selenium, Scrapy, and feapder, plus a Node.js puppeteer example. It serves as a learning resource demonstrating real-world scraping tasks against Chinese websites.

## Use cases
- learn web scraping with python
- scrapy project examples
- scrape job listings from websites
- download images with a multithreaded crawler
- selenium automation scraping examples
- parse html with xpath and beautifulsoup

## When to choose
- you want runnable example code for learning scraping techniques in Python
- you need reference implementations using Scrapy, Selenium, or feapder
- you are a beginner studying xpath, bs4, or regex-based parsing

## When to avoid
- you need a production-ready scraping framework or library
- you want maintained, general-purpose scraping tooling rather than site-specific demos
- your target sites differ greatly from the Chinese sites used in the examples

## Facets
- artifact type: learning-resource
- maturity: active
- function: web-scraping, parser, data-science
- domain: crawlers, developer-tools, tutorials
- platform: python, cli
- tags: scrapy, selenium, xpath, beautifulsoup, requests, feapder, puppeteer, tutorial-examples

## Member repositories
- xingag/spider_python (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:47.224222+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 2026-08-30T06:33:34.559917+00:00, confidence not recorded.
  - readme: https://github.com/xingag/spider_python (fetched 2026-08-28T04:03:47.224222+00:00, sha c6176a706104)
- Data as of 2026-08-30T08:39:29.467469+00:00.