--- license: cc-by-4.0 language: - en pretty_name: "BoardGameGeek Scraper \u00b7 Games, Ratings, Designers & Mechanics" size_categories: - n<1K tags: - "reapx" - "web-scraping" - "open-data" - "boardgamegeek-scraper" - "boardgamegeek" - "games" - "ratings" - "designers" - "mechanics" configs: - config_name: default data_files: - split: train path: boardgamegeek-scraper.jsonl --- ![reapX — public sources in, addressable records out](https://reapx.dev/reapx.gif) # BoardGameGeek Scraper · Games, Ratings, Designers & Mechanics Scrape board games, release years, player counts, categories, mechanics, designers, artists, and publishers from BoardGameGeek. HTTP only, pay-per-event pricing. | | | | --- | --- | | Rows in this dataset | 437 | | Fields | 21 | | Collector runs behind it | 50 | | Most recent observation | 2026-08-03 | ## What this is Every row here was returned by a real run of a public collector. Nothing is generated from a template over a keyword list: a row exists because a run observed it. ## Provenance Each row carries `_run_id` and `_dataset_id`, naming the collector run that produced it, so any row can be traced back to the run that observed it. Rows observed by more than one run are deduplicated on content; 811 duplicate observations were collapsed. ## Files - `boardgamegeek-scraper.jsonl` — one JSON object per row, the canonical form - `boardgamegeek-scraper.csv` — the same rows flattened; nested values are JSON-encoded within their cell so they round-trip - `dataset.json` — schema.org `Dataset` metadata ## Loading it ```python from datasets import load_dataset ds = load_dataset("reapxdev/boardgamegeek-scraper", split="train") ``` ## Related - All sources: · machine-readable index: - The collector is a public Apify Actor; agents reach it through ## Licence Collected from public sources. This metadata and the published pages are [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/); the underlying records remain under the terms of their originating source.