Portfolio concentration
55%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
14 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (23), HTML (2), C++ (2)
Average size
403
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
55%
of the visible star count comes from this organization's top three repositories.
403
stars per repository in this same snapshot.
Python
is the most common language here, with 14 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 30 repositories.
Organization pages work best when you separate portfolio breadth from flagship concentration. In Scrapy project's case, the visible top three repositories account for about 55% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (23), HTML (2), C++ (2). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | scrapy/scrapyd A service daemon to run Scrapy spiders | Python | 3.1K |
| 2 | scrapy/scrapely A pure-python HTML screen-scraping library | HTML | 1.9K |
| 3 | scrapy/dirbot Scrapy project to scrape public web directories (educational) [DEPRECATED] | Python | 1.6K |
| 4 | scrapy/quotesbot This is a sample Scrapy project for educational purposes | Python | 1.4K |
| 5 | scrapy/parsel Parsel lets you extract data from XML/HTML documents using XPath or CSS selectors | Python | 1.4K |
| 6 | scrapy/scrapyd-client Command line client for Scrapyd server | Python | 770 |
| 7 | scrapy/w3lib Python library of web-related functions | Python | 418 |
| 8 | scrapy/cssselect CSS Selectors for Python | Python | 309 |
| 9 | scrapy/queuelib Collection of persistent (disk-based) and non-persistent (memory-based) queues for Python | Python | 299 |
| 10 | scrapy/loginform Fill HTML login forms automatically | Python | 279 |
| 11 | scrapy/slybot | 223 | |
| 12 | scrapy/protego A pure-Python robots.txt parser with support for modern conventions. | DIGITAL Command Language | 92 |
| 13 | scrapy/itemadapter Common interface for data container classes | Python | 69 |
| 14 | scrapy/scrapy.org The scrapy.org website (old code) | HTML | 66 |
| 15 | scrapy/itemloaders Library to populate items using XPath and CSS with a convenient API | Python | 49 |
| 16 | scrapy/booksbot A crawler for http://books.toscrape.com | Python | 41 |
| 17 | scrapy/scrapy-bench A CLI for benchmarking Scrapy. | Python | 32 |
| 18 | scrapy/scrapy-lint A linter for Scrapy projects. | Python | 22 |
| 19 | scrapy/scurl Performance-focused replacement for Python urllib | Python | 21 |
| 20 | scrapy/pypydispatcher A fork of http://pydispatcher.sourceforge.net/ with PyPy support | Python | 16 |
| 21 | scrapy/xtractmime https://mimesniff.spec.whatwg.org/ implementation for Python | Python | 13 |
| 22 | scrapy/frostwork | Python | 12 |
| 23 | scrapy/base-chromium base component forked from Chromium source https://chromium.googlesource.com/chromium/src/base/ | C++ | 8 |
| 24 | scrapy/scrapy-itemloader [Archived] Library to populate Scrapy items using XPath and CSS with a convenient API | Python | 7 |
| 25 | scrapy/form2request Python library to build HTTP requests out of HTML forms | Python | 5 |
| 26 | scrapy/url-chromium url component from Chromium source code, forked from https://chromium.googlesource.com/chromium/src/url | C++ | 4 |
| 27 | scrapy/gsoc2014-integration-tests GSoC2014 - Scrapy Integration tests project | Shell | 3 |
| 28 | scrapy/scrapy-bench-speedcenter Codespeed for scrapy-bench | Python | 2 |
| 29 | scrapy/formerly | Python | 1 |
| 30 | scrapy/sphinx-scrapy Sphinx extension for documentation in the Scrapy ecosystem | Python | 1 |
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.