Product Hunt User Collections API and MCP — Curated Lists with Products
Send a username or profile link and get the collections that user has made: collection name and link, the number of products in it, and the first products with their ids. All pages are read, up to the max_items you set (up to 250).
- You send
- a Product Hunt username or profile link, and how many results to return
- You get back
- the user's collections with their size and first products
- Coverage
- Product Hunt records with a public page.
- Price
- 1 point per returned record — $1 per 1,000
- Billed per record actually returned, capped by max_items. A request that returns nothing costs nothing.
Ways to get this data
Three approaches teams use today, and where each one runs into trouble.
| Approach | What it takes | Cost | Trade-off |
|---|---|---|---|
| Product Hunt directly | Open the page on Product Hunt and scroll through the list | Free, and slow | Fine for one record, useless across a list, and the layout differs on every platform |
| Building a scraper | Write it, host it, and repair it when Product Hunt changes its pages | Engineering time | A maintenance commitment for something that isn't your product |
| NeuralVerge | One request, the same shape as every other source in the catalog | $1 per 1,000, misses not billed | Returns what Product Hunt publishes at request time. Other platforms are separate sources with the same request format |
What you get back
Every field in the example response below.
| Field | Type | Description |
|---|---|---|
session_id | string | Id of this run, for tracing. |
kind | string | Source type of the response. |
user | string | The username you sent. |
max_items | number | The cap you sent on returned records. |
start_page | number | Page the run started from. |
partial | boolean | Whether the run stopped before reaching everything that matched. |
human | string | Readable summary of the run. |
total_points | number | Points charged for the run: 1 per returned record. |
machine.total_items | number | Number of records returned in this response. |
machine.total_found | null | Empty in the sample because the platform gave no total for this request. |
machine.page_count | number | Pages read for the run. |
machine.first_item | object | The first returned record, repeated from items[]. Fields below are described on items[]. |
machine.blocked | boolean | Whether the platform refused the request. |
machine.proxy_traffic_bytes | number | Size of the data transferred for the run, in bytes. |
machine.items[].id | string | Collection slug. |
machine.items[].name | string | Collection name. |
machine.items[].url | string | Link to the collection. |
machine.items[].collection_id | string | Numeric collection id. |
machine.items[].title | null | Empty in the sample. |
machine.items[].description | null | Empty in the sample; text when the collection has one. |
machine.items[].products_count | number | Products in the collection. |
machine.items[].products[] | array | The first products in the collection: name and product_id. |
machine.items[].user | object | The collection's owner: id, name, username, url, headline and image. |
machine.items[].image | null | Empty in the sample. |
Example response
A real response, as returned.
{
"session_id": "11111111-1111-1111-1111-111111111111",
"kind": "producthunt_users_collections",
"user": "kevin",
"max_items": 2,
"start_page": 1,
"partial": false,
"human": "# Product Hunt — user collections\n\n- **User:** kevin\n- **Results:** 2\n- **Proxy traffic:** 5.9 KB",
"machine": {
"total_items": 2,
"first_item": {
"id": "airbnb-for-x",
"name": "Airbnb for X",
"url": "https://www.producthunt.com/@kevin/collections/airbnb-for-x",
"collection_id": "6335",
"title": null,
"description": null,
"products_count": 51,
"products": [
{
"name": "3D Hubs",
"product_id": "94798"
},
{
"name": "Studiotime",
"product_id": "98069"
}
],
"user": {
"id": "kevin",
"name": "Kevin William David",
"username": "kevin",
"url": "https://www.producthunt.com/@kevin",
"headline": null,
"image": "https://ph-avatars.imgix.net/79/892b0017-ec5b-4a37-aa6c-b32d62c82cae.jpeg"
},
"image": null
},
"items": [
{
"id": "airbnb-for-x",
"name": "Airbnb for X",
"url": "https://www.producthunt.com/@kevin/collections/airbnb-for-x",
"collection_id": "6335",
"title": null,
"description": null,
"products_count": 51,
"products": [
{
"name": "3D Hubs",
"product_id": "94798"
},
{
"name": "Studiotime",
"product_id": "98069"
}
],
"user": {
"id": "kevin",
"name": "Kevin William David",
"username": "kevin",
"url": "https://www.producthunt.com/@kevin",
"headline": null,
"image": "https://ph-avatars.imgix.net/79/892b0017-ec5b-4a37-aa6c-b32d62c82cae.jpeg"
},
"image": null
},
{
"id": "all-things-reddit",
"name": "All Things Reddit",
"url": "https://www.producthunt.com/@kevin/collections/all-things-reddit",
"collection_id": "4982",
"title": "Reddit communities, tools and more..",
"description": "Reddit communities, tools and more..",
"products_count": 28,
"products": [
{
"name": "narwhal for reddit",
"product_id": "102044"
},
{
"name": "Reddit",
"product_id": "113385"
}
],
"user": {
"id": "kevin",
"name": "Kevin William David",
"username": "kevin",
"url": "https://www.producthunt.com/@kevin",
"headline": null,
"image": "https://ph-avatars.imgix.net/79/892b0017-ec5b-4a37-aa6c-b32d62c82cae.jpeg"
},
"image": null
}
],
"total_found": null,
"page_count": 1,
"blocked": false,
"proxy_traffic_bytes": 6083
},
"total_points": 2
}How to run it
The same lookup works from the app, the API, or as a tool an agent can call mid-task.
Results come back in the same envelope as every other source: a session id, a readable summary, the structured result and the points charged. max_items caps how many records are returned and billed.
curl -X POST https://api.neuralverge.ai/functions/v1/run-producthunt-users-collections \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"user":"kevin","max_items":2}'What teams use it for
Where this field shows up in an actual workflow.
Find the product themes a respected curator groups together.
Collect products from curated lists in a niche and look each one up.
Compare collection sizes and topics over repeated runs.
See what a person curates before you write to them about a product.
Coverage, freshness and limits
What this source covers, how fresh it is, and where it stops.
Product Hunt records with a public page.
Read at request time, so the answer reflects the platform as it stands when you ask.
This source returns information Product Hunt shows publicly. Every response carries the session id you can trace.
- —Each collection returns the first products only, with names and ids; use the product lookup for details.
- —This source returns a person's public curation. Use it for product research, not for profiling the individual.
- —The sample returned no total (total_found is null).
Questions, answered
It returns the collection size and the first products. The products_count field shows how many the collection holds in all.
Related sources
Profile of one Product Hunt user with follower and launch counts.
Products in a user's stack.
Launches a user submitted, with votes and ranks.
Startup directories, funding databases, launch platforms and investor data.
Try product hunt user collections on your own data
One request format across every source in the catalog.