How do I know the total number of reviews?

Read machine.total_found. In the sample it is 7 while two were returned because max_items was 2.

Do I pay for lookups that come back empty?

No. You are charged per result, so a request that finds nothing costs nothing. Testing this against a messy list is free to get wrong.

What does a request cost?

1 point per returned record, which is $1 per 1,000, and only records that come back are charged. Points come out of your monthly plan allowance.

Startup & Funding Data

Product Hunt Product Reviews API and MCP — Ratings, Review Text, Dates

Send a product slug or link and get its reviews: rating, the review text, positive and negative feedback, sub-ratings, votes and comments on the review, the date, the reviewer and any alternatives the reviewer mentions. All review types are included, up to the max_items you set (up to 250).

Run it in the app Read the API docs

You send: a Product Hunt product slug or link, and how many results to return
You get back: the product's reviews of every type: rating, review text, reviewer, date and alternatives mentioned
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.

Comparison

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

Response

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.
`product`	string	The product slug 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`	number	Total matches the platform reports for the request (7 in the sample), which can be larger than what you asked to return.
`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	Review id.
`machine.items[].name`	string	Review title, in the form Review by <reviewer name>.
`machine.items[].url`	string	Link to the review.
`machine.items[].review_id`	string	Numeric review id.
`machine.items[].review_type`	string	Type of review, e.g. personal.
`machine.items[].rating`	number	Overall rating given.
`machine.items[].ease_of_use_rating`	null	Empty in the sample; a rating when the reviewer gave one.
`machine.items[].reliability_rating`	null	Empty in the sample; a rating when given.
`machine.items[].value_for_money_rating`	null	Empty in the sample; a rating when given.
`machine.items[].customization_rating`	null	Empty in the sample; a rating when given.
`machine.items[].overall_experience`	string	Review text.
`machine.items[].positive_feedback`	null	Empty in the sample; text when given.
`machine.items[].negative_feedback`	null	Empty in the sample; text when given.
`machine.items[].alternatives_feedback`	null	Empty in the sample; text when given.
`machine.items[].votes_count`	number	Votes on the review.
`machine.items[].comments_count`	number	Comments on the review.
`machine.items[].created_at`	string	Date and time of the review.
`machine.items[].user`	object	The reviewer as shown on the review: id, name, username, url, headline and image.
`machine.items[].alternative_products[]`	array	Alternatives the reviewer mentions; empty in the sample.
`machine.items[].from_launch`	null	Empty in the sample; the launch a review came from, when it did.

Response

Example response

A real response, as returned.

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "producthunt_products_reviews",
  "product": "doplac-crm",
  "max_items": 2,
  "start_page": 1,
  "partial": false,
  "human": "# Product Hunt — product reviews\n\n- **Product:** doplac-crm\n- **Results:** 2 of 7 found\n- **Proxy traffic:** 27.1 KB",
  "machine": {
    "total_items": 2,
    "first_item": {
      "id": "181797",
      "name": "Review by Alvi Shuvo",
      "url": "https://www.producthunt.com/products/doplac-crm/reviews?review=181797",
      "review_id": "181797",
      "review_type": "personal",
      "rating": 5,
      "ease_of_use_rating": null,
      "reliability_rating": null,
      "value_for_money_rating": null,
      "customization_rating": null,
      "overall_experience": "Doplac CRM is gaining attention for its all-in-one capabilities, making it a solid option for small to medium-sized businesses. It’s designed to cover marketing, sales, and customer relationship manag",
      "positive_feedback": null,
      "negative_feedback": null,
      "alternatives_feedback": null,
      "votes_count": 0,
      "comments_count": 0,
      "created_at": "2024-09-20T21:44:54-07:00",
      "user": {
        "id": "alvi_shuvo",
        "name": "Alvi Shuvo",
        "username": "alvi_shuvo",
        "url": "https://www.producthunt.com/@alvi_shuvo",
        "headline": "i want to test. i am a marketer.",
        "image": "https://ph-avatars.imgix.net/7611138/4bb41cf2-7a98-4377-a321-5ac36d045d11.jpeg"
      },
      "alternative_products": [],
      "from_launch": null
    },
    "items": [
      {
        "id": "181797",
        "name": "Review by Alvi Shuvo",
        "url": "https://www.producthunt.com/products/doplac-crm/reviews?review=181797",
        "review_id": "181797",
        "review_type": "personal",
        "rating": 5,
        "ease_of_use_rating": null,
        "reliability_rating": null,
        "value_for_money_rating": null,
        "customization_rating": null,
        "overall_experience": "Doplac CRM is gaining attention for its all-in-one capabilities, making it a solid option for small to medium-sized businesses. It’s designed to cover marketing, sales, and customer relationship manag",
        "positive_feedback": null,
        "negative_feedback": null,
        "alternatives_feedback": null,
        "votes_count": 0,
        "comments_count": 0,
        "created_at": "2024-09-20T21:44:54-07:00",
        "user": {
          "id": "alvi_shuvo",
          "name": "Alvi Shuvo",
          "username": "alvi_shuvo",
          "url": "https://www.producthunt.com/@alvi_shuvo",
          "headline": "i want to test. i am a marketer.",
          "image": "https://ph-avatars.imgix.net/7611138/4bb41cf2-7a98-4377-a321-5ac36d045d11.jpeg"
        },
        "alternative_products": [],
        "from_launch": null
      },
      {
        "id": "182672",
        "name": "Review by Mahmudul Hasan Manik",
        "url": "https://www.producthunt.com/products/doplac-crm/reviews?review=182672",
        "review_id": "182672",
        "review_type": "founder",
        "rating": 5,
        "ease_of_use_rating": null,
        "reliability_rating": null,
        "value_for_money_rating": null,
        "customization_rating": null,
        "overall_experience": "Using this CRM last couple of month. Easy to use and lots of features included here. All in one CRM tools for Founder and Freelancers. White Label system can boost your mindset also. Personalise every",
        "positive_feedback": null,
        "negative_feedback": null,
        "alternatives_feedback": null,
        "votes_count": 0,
        "comments_count": 0,
        "created_at": "2024-09-23T10:54:26-07:00",
        "user": {
          "id": "mhmanik02",
          "name": "Mahmudul Hasan Manik",
          "username": "mhmanik02",
          "url": "https://www.producthunt.com/@mhmanik02",
          "headline": "CO-Founder @SlashitApp",
          "image": "https://ph-avatars.imgix.net/2285062/8fe1c0cc-f962-46a6-8c70-74aaca234154.png"
        },
        "alternative_products": [],
        "from_launch": null
      }
    ],
    "total_found": 7,
    "page_count": 1,
    "blocked": false,
    "proxy_traffic_bytes": 27722
  },
  "total_points": 2
}

Integration

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-products-reviews \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"product":"doplac-crm","max_items":2}'

Use cases

What teams use it for

Where this field shows up in an actual workflow.

Product feedback mining

Read what reviewers praise and criticise across a product's reviews.

Competitor analysis

Compare ratings and review text for competing products side by side.

Sentiment tracking

Re-run on a schedule and watch new reviews and rating changes.

Switching signals

Pick out reviews that mention alternatives to see what buyers weigh up.

Coverage & limits

Coverage, freshness and limits

What this source covers, how fresh it is, and where it stops.

Coverage

Product Hunt records with a public page.

Freshness

Read at request time, so the answer reflects the platform as it stands when you ask.

Handling

This source returns information Product Hunt shows publicly. Every response carries the session id you can trace.

What it will not do

—Each review is attributed to a named reviewer. Use the text for product feedback, not to build profiles of the people who wrote it.
—Sub-ratings and feedback fields are null when the reviewer did not fill them in.
—Review text is returned as the platform holds it, in whatever language the reviewer used.

FAQ

Questions, answered

Yes. The sample shows a personal review, and the source reads all review types the platform shows for the product.

Related sources

Product Hunt product

Full profile of one product: rating, followers, categories, makers and similar products.

Product Hunt product customers

Products whose makers say they use a given product.

Product Hunt product alternatives

Alternatives the platform lists for a product, with similarity score.

All startup & funding data

Startup directories, funding databases, launch platforms and investor data.

Try product hunt product reviews on your own data

One request format across every source in the catalog.

Get started