# scrapy/scrapy SLOC report

> As of 2026-10-23 (commit 171ccbedb734), scrapy/scrapy contains 44,070 total lines: 35,737 code, 1,737 comments, 6,596 blank, across 245 files in 9 languages (top: Python 89.0%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

scrapy/scrapy has 35,737 source lines of code out of 44,070 total lines across 245 files, counted from the master ref at commit 171ccbedb734 by the OctoCounts tokei engine on 2026-10-23. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving scrapy/scrapy to commit 171ccbedb734, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.

## Repository size insights

This is a medium-sized codebase by counted code lines. Code represents 81.1% of all lines, comments represent 3.9%, and the repository averages 146 code lines per file. Python accounts for 89.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 205 | 38,565 | 31,808 | 1,383 | 5,374 |
| ReStructuredText | 22 | 4,034 | 2,987 | 0 | 1,047 |
| TOML | 1 | 520 | 378 | 110 | 32 |
| INI | 1 | 383 | 323 | 32 | 28 |
| Templ | 8 | 279 | 222 | 0 | 57 |
| YAML | 1 | 17 | 12 | 3 | 2 |
| Forge Config | 1 | 11 | 4 | 5 | 2 |
| Shell | 1 | 7 | 3 | 3 | 1 |
| Markdown | 5 | 254 | 0 | 201 | 53 |

Top language (Python 89.0%). Generated at 2026-10-23T07:21:11.086316241+00:00. Canonical report: https://octocounts.com/github/scrapy/scrapy

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/scrapy/scrapy/commit/171ccbedb734c988fd86708fd5e0803029b6c730?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D&reportId=6695826f8d96f7a4a81ddf5bfe04df7b40c68cc1a4356a3da96122acad0c8d0f).

## Report FAQ

### How many lines of code does scrapy/scrapy have?

scrapy/scrapy has 44,070 total lines, including 35,737 code lines, 1,737 comment lines, and 6,596 blank lines.

### How was the scrapy/scrapy line count measured?

OctoCounts resolved the public GitHub repository to commit 171ccbedb734, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for scrapy/scrapy?

This OctoCounts report was generated from master at commit 171ccbedb734 on 2026-10-23T07:21:11.086316241+00:00.

## Similar repository reports

- [ljofreflor/jobbot](https://octocounts.com/github/ljofreflor/jobbot) — Python, 36,020 code lines
- [wbh604/UZI-Skill](https://octocounts.com/github/wbh604/UZI-Skill) — Python, 36,156 code lines
- [MysterionRise/adaptive-knowledge-graph](https://octocounts.com/github/MysterionRise/adaptive-knowledge-graph) — Python, 35,316 code lines
- [oomol-lab/pdf-craft](https://octocounts.com/github/oomol-lab/pdf-craft) — Python, 36,216 code lines
- [NEORUAA/HyperOS-AVD](https://octocounts.com/github/NEORUAA/HyperOS-AVD) — Python, 36,437 code lines
- [bitsorg/bits](https://octocounts.com/github/bitsorg/bits) — Python, 35,031 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)