datasets_producthunt_trends_search
Search Product Hunt aggregate launch trends by category and period to analyze launch counts, upvotes, ratings, and top products. Filter by topic, date range, or minimum votes for targeted insights.
Instructions
Search the Product Hunt trends dataset. Returns aggregate Product Hunt launch trends from the dataset id enum value producthunt-trends. Aggregate-only: each row is a category-over-time cell (a topic, optionally within a calendar period), reporting launch count, total and average upvotes, average rating and the top product — never an individual product record. Thin cells are suppressed. group_by enum: topic_month, topic_year, topic. Sort enum: period_desc, period_asc, launch_count_desc, sum_votes_desc.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number, defaults to 1 | |
| sort | No | Sort enum: period_desc, period_asc, launch_count_desc, sum_votes_desc | |
| topic | No | Exact topic-slug filter, e.g. artificial-intelligence, max 128 characters | |
| group_by | No | Aggregate cell dimension enum: topic_month, topic_year, topic. Defaults to topic_month | |
| min_votes | No | Minimum product upvotes, 0 or greater | |
| page_size | No | Page size, defaults to 20 and maxes at 100; page * page_size must be <= 10000 | |
| min_launches | No | Minimum launches per cell; raises the small-cell suppression floor (never lowered below the built-in minimum) | |
| launched_after | No | Lower bound on first-launch date, an ISO-8601 date (YYYY-MM-DD) | |
| launched_before | No | Upper bound on first-launch date, an ISO-8601 date (YYYY-MM-DD) |