eternal-flame-ad/awesome-spider — explained in plain English
Analysis updated 2026-07-20 · repo last pushed 2018-07-27
Find a ready-made crawler to pull product reviews from Chinese e-commerce sites like JD.com or Taobao.
Locate a tool to scrape stock market data from financial platforms like Xueqiu.
Discover a project to scrape job postings from sites like Lagou or 51job.
Find an existing scraper for social media platforms like Instagram, Reddit, or Weibo.
| eternal-flame-ad/awesome-spider | 0verflowme/alarm-clock | 0verflowme/seclists | |
|---|---|---|---|
| Language | — | CSS | — |
| Last pushed | 2018-07-27 | 2022-10-03 | 2020-05-03 |
| Maintenance | Dormant | Dormant | Dormant |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 2/5 | 1/5 |
| Audience | data | vibe coder | ops devops |
Figures from each repo's GitHub metadata at analysis time.
No setup needed, it's a list of links, you just browse the README and click through to individual projects.
awesome-spider is a curated directory of web crawler projects, mostly written in Python. It's essentially a collection of links to various open-source tools that automatically extract data from websites, organized alphabetically by the target site or topic. Rather than being a tool you run yourself, it's more like a catalog or index pointing you to existing crawler projects built by different developers. The list covers a wide range of websites and data types. You'll find crawlers for major Chinese platforms like Bilibili, Weibo, Zhihu, DouBan, JD.com, Taobao, and NetEase Music, as well as international sites like Instagram, Reddit, StackOverflow, LinkedIn, and SoundCloud. There are also more specialized entries for things like flight prices, real estate listings on Lianjia, job postings, stock data, university course portals, and even shared bike availability. Some entries are for more niche or adult content sites. This would be useful for anyone who needs to gather data from the web but doesn't want to build a scraper from scratch. For example, a market researcher could find a tool to pull product reviews from JD.com, a data analyst could grab stock data from Xueqiu, or a job seeker could scrape listings from sites like Lagou or 51job. The directory gives you a starting point instead of having to search GitHub yourself for each site individually. The README doesn't go into detail about how each linked project works, what dependencies they require, or whether they're still maintained. It's simply a categorized list of links, with brief labels indicating the target site and sometimes the programming language used. You'd need to click through to each individual project to evaluate whether it suits your needs and is still functional.
A curated directory of open-source web crawler projects, organized by target website. It's a catalog of links to tools that extract data from sites like Bilibili, Weibo, Instagram, and Reddit, mostly written in Python.
Dormant — no commits in 2+ years (last push 2018-07-27).
No license information is provided for this repository, it is a curated list of links to other projects.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly data.
This repo across BitVibe Labs
Verify against the repo before relying on details.