create_steam_review_corpus
Create a public Steam review corpus in the background and get a corpus_id for status checks, local queries, and aggregates. Use it to snapshot reviews for an app without waiting.
Instructions
Creates a public Steam review corpus in the background and immediately returns a new corpus_id for status checks, local queries and aggregates. Each call creates a separate corpus. Defaults to every language, all purchase sources and both sentiments, including off-topic activity and metadata. Metadata includes timestamps, playtime, numeric helpfulness and refunded; refund status does not exclude reviews. Recent/updated traversal has no implicit date window. Fetches share one request lane and 429 cooldown. Saved data is a snapshot; create a new corpus to refresh it. Data stays on the server in schema 2 storage.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| appid | Yes | Steam application ID as a numeric string | |
| languages | No | Review language list, e.g. ['english', 'schinese']. Default ['all']; including 'all' retrieves every language. | |
| page_size | No | Steam page size per fetch. Steam allows up to 100. | |
| max_reviews | No | Optional cap for the background fetch. Use null to retrieve the full corpus. | |
| review_type | No | Review polarity to retrieve. Defaults to all reviews. | all |
| purchase_type | No | Purchase source to retrieve. Defaults to all purchase types. | all |
| traversal_mode | No | Exhaustive traversal uses recent (creation time, default) or updated (modification time), without an implicit date window. | recent |
| chunk_size_reviews | No | How many reviews to store per persisted chunk. | |
| include_review_metadata | No | When true, server-stored review chunks keep per-review metadata such as timestamp_created, timestamp_updated, timestamp_dev_responded, and author playtime fields like playtime_at_review and last_played, instead of only review text. | |
| include_offtopic_activity | No | When true, include off-topic/review-bomb activity in the corpus fetch. |