steam-scraper

scraping project for steam

A new way for AI to search for data
View on GitHub
1GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 5970482776 (2026-10-21).

Selected work

Oleg Shapovalov
@GreyCatProductions

“option to run without db (fetch with steam api) and run as loop”. 3 files, 215 lines in playercount_fetching.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-24. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

Example questions

The prompt

Paste it into your AI agent. It clones GreyCatProductions/steam-scraper at the pinned commit and indexes it on your machine.

Search the GitHub repository GreyCatProductions/steam-scraper with XERJ (https://hub.xerj.org/corpus/greycatproductions--steam-scraper).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/GreyCatProductions/steam-scraper steam-scraper && git -C steam-scraper checkout 5970482776f850c883db7e65ff19b3861d961f18
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./steam-scraper --url http://127.0.0.1:9200 --prefix steam-scraper --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.