Product Hunt API Capability

Get topic

Fetch a Product Hunt topic with description, follower count, and ranked product listing.

Capability ID producthunt.topic

Cost From $1.25 per 1,000 requests · 1 credit

Maximum runtime 30 seconds

# Get topic

Fetch a Product Hunt topic with description, follower count, and ranked product listing.

- Platform: [Product Hunt](https://docs.upscrape.com/docs/platforms/producthunt)
- Capability ID: `producthunt.topic`
- Cost: 1 credit per request
- Maximum runtime: 30 seconds
- Execute endpoint: `POST https://data.upscrape.com/execute`

## Request

Use the exact public capability ID in the shared execute envelope.

```bash
curl --request POST \
  --url https://data.upscrape.com/execute \
  --header "Authorization: Bearer $UPSCRAPE_API_KEY" \
  --header "Content-Type: application/json" \
  --header "Prefer: wait=30" \
  --data '{
  "input": {
    "url": "artificial-intelligence"
  },
  "capability": "producthunt.topic"
}'
```

## Input


| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `url` | `string` | Yes | Topic URL or slug |

### Example input

```json
{
  "url": "artificial-intelligence"
}
```

## Response

Successful output is returned in `results[0].data`.

Raw platform output is intentionally open-ended and may evolve with the upstream source.

### Illustrative sample output

This example shows one response. Values and optional fields vary with the data available.

```json
{
  "description": "Artificial intelligence powers products that can write, reason, analyze data, and take action for you. These categories cover the main ways AI is being built and used today.\n\n- **[AI Agents](https://www.producthunt.com/categories/ai-agents)** – Tools that use AI to plan, reason, and take actions across tools and workflows, often completing multi-step tasks with minimal human input.\n- **[LLMs](http…",
  "id": "268",
  "name": "Artificial Intelligence",
  "products": [
    {
      "id": "126122",
      "name": "PostHog",
      "slug": "posthog",
      "tagline": "Literally every piece of SaaS that a product engineer needs",
      "url": "https://www.producthunt.com/products/posthog"
    },
    {
      "id": "584337",
      "name": "Granola",
      "slug": "granola",
      "tagline": "The AI notepad for people in back-to-back meetings",
      "url": "https://www.producthunt.com/products/granola"
    },
    {
      "id": "435808",
      "logo_url": "https://ph-files.imgix.net/593ff5e2-9d11-491c-ab63-9e929e894214.jpeg?auto=format&fit=crop&h=240&w=240",
      "name": "Vercel",
      "reviews_count": 990,
      "reviews_rating": 4.97,
      "slug": "vercel",
      "tagline": "The frontend cloud. Creators of Next.js. ",
      "url": "https://www.producthunt.com/products/vercel"
    }
  ],
  "slug": "artificial-intelligence",
  "url": "https://www.producthunt.com/topics/artificial-intelligence"
}
```
### Illustrative output fields

Derived from the sample above for orientation only. These fields are not a fixed response schema.

| Path | Observed type | Example |
| --- | --- | --- |
| `description` | `string` | Artificial intelligence powers products that can write, reason, analyze… |
| `id` | `string` | 268 |
| `name` | `string` | Artificial Intelligence |
| `products` | `array` | 3 items |
| `products` | `array` | 3 items |
| `slug` | `string` | artificial-intelligence |
| `url` | `string` | https://www.producthunt.com/topics/artificial-intelligence |

## Execution behavior

A `200` response completed inline. A `202` response was queued; poll `GET /jobs/{id}` until the job reaches `completed` or `failed`. Use an `Idempotency-Key` when retrying must not create a duplicate logical job.

## Related documentation

- [Authentication](https://docs.upscrape.com/docs/api/authentication)
- [Jobs and results](https://docs.upscrape.com/docs/api/jobs)
- [Errors and retries](https://docs.upscrape.com/docs/api/errors)
- [Idempotency](https://docs.upscrape.com/docs/api/idempotency)

POST /execute Shared execution endpoint

Input parameters

url string required

Topic URL or slug

Example artificial-intelligence

Response

Successful output is returned in results[0].data.

Raw platform output is intentionally open-ended and may evolve with the upstream source.

Illustrative sample The example response is shown in the response panel.

Illustrative output fields

Values illustrate one response. Read the guidance above for missing values and limits; fields can vary with the requested operation and the data available.

Path	Observed type	Example
`description`	`string`	Artificial intelligence powers products that can write, reason, analyze…
`id`	`string`	268
`name`	`string`	Artificial Intelligence
`products`	`array`	3 items
`products`	`array`	3 items
`slug`	`string`	artificial-intelligence
`url`	`string`	https://www.producthunt.com/topics/artificial-intelligence

Execution behavior

A 200 response completed inline. A 202 response was queued; poll GET /jobs/:id until the job reaches completed or failed.

curl --request POST \ --url https://data.upscrape.com/execute \ --header "Authorization: Bearer $UPSCRAPE_API_KEY" \ --header "Content-Type: application/json" \ --header "Prefer: wait=30" \ --data '{ "input": { "url": "artificial-intelligence" }, "capability": "producthunt.topic" }'

import json import os import requests payload = json.loads(r'''{ "input": { "url": "artificial-intelligence" }, "capability": "producthunt.topic" }''') response = requests.post( "https://data.upscrape.com/execute", headers={ "Authorization": f"Bearer {os.environ['UPSCRAPE_API_KEY']}", "Content-Type": "application/json", "Prefer": "wait=30", }, json=payload, ) response.raise_for_status() print(json.dumps(response.json(), indent=2))

{ "description": "Artificial intelligence powers products that can write, reason, analyze data, and take action for you. These categories cover the main ways AI is being built and used today.\n\n- **[AI Agents](https://www.producthunt.com/categories/ai-agents)** – Tools that use AI to plan, reason, and take actions across tools and workflows, often completing multi-step tasks with minimal human input.\n- **[LLMs](http…", "id": "268", "name": "Artificial Intelligence", "products": [ { "id": "126122", "name": "PostHog", "slug": "posthog", "tagline": "Literally every piece of SaaS that a product engineer needs", "url": "https://www.producthunt.com/products/posthog" }, { "id": "584337", "name": "Granola", "slug": "granola", "tagline": "The AI notepad for people in back-to-back meetings", "url": "https://www.producthunt.com/products/granola" }, { "id": "435808", "logo_url": "https://ph-files.imgix.net/593ff5e2-9d11-491c-ab63-9e929e894214.jpeg?auto=format&fit=crop&h=240&w=240", "name": "Vercel", "reviews_count": 990, "reviews_rating": 4.97, "slug": "vercel", "tagline": "The frontend cloud. Creators of Next.js. ", "url": "https://www.producthunt.com/products/vercel" } ], "slug": "artificial-intelligence", "url": "https://www.producthunt.com/topics/artificial-intelligence" }