57 lines
1.9 KiB
Markdown
57 lines
1.9 KiB
Markdown
# Stat Check Elo Scraper
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This is a pure-Python scraper for the public Excel workbook embedded at:
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`https://www.stat-check.com/elo`
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It does not need Selenium, Playwright, Chromium, pandas, or openpyxl. It uses only the Python standard library.
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## How It Works
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The Stat Check page embeds a public OneDrive Excel workbook through a `1drv.ms` URL. Microsoft's web viewer does not expose a stable direct `.xlsx` URL in the page HTML, but it does use a public OneDrive metadata API behind the scenes.
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The scraper reproduces the useful part of that flow:
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1. Request an anonymous Microsoft "Badger" token from:
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`https://api-badgerp.svc.ms/v1.0/token`
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2. Convert the public OneDrive embed URL into Microsoft Graph's `shares/u!...` id format.
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3. Call:
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`https://my.microsoftpersonalcontent.com/_api/v2.0/shares/{share_id}/driveItem?action=EmbedView`
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with `Authorization: Badger <token>`.
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4. Read `@content.downloadUrl` from the metadata response.
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5. Download the real `.xlsx`.
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6. Convert the first worksheet to CSV by reading the XLSX ZIP/XML structure directly.
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The Microsoft endpoints used here are undocumented and could change, but this currently works without browser automation.
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## Usage
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```bash
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python3 pure_python_elo_scrape.py
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```
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Default outputs:
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- `elo-pure.xlsx`
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- `elo-pure.csv`
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You can also pass output paths:
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```bash
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python3 pure_python_elo_scrape.py statcheck-elo.xlsx statcheck-elo.csv
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```
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## Files
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- `pure_python_elo_scrape.py` - gets the Badger token, resolves the workbook download URL, downloads the XLSX, writes CSV.
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- `download_and_parse.py` - helper functions for downloading and converting XLSX to CSV with stdlib only.
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- `sample-elo.csv` - sample output captured during testing.
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## Verification From Testing
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On June 28, 2026, this downloaded a `3,465,320` byte workbook and produced a `4,145,399` byte CSV with `40,945` rows. The CSV header was:
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```csv
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Rank,Delta,Name,W,L,D,G,WR%,Elo,Delta,Last Event,Country
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```
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