Target Product Reviews API — Ratings, Text & Verified Flags
Send a Target TCIN or product URL and this source returns its customer reviews as data, newest first: star rating, title, text, author, verified and recommended flags, and helpful votes.
{
"session_id": "11111111-1111-1111-1111-111111111111",
"kind": "target_products_reviews",
"product": "86216189",
"product_id": "86216189",
"max_items": 2,
"start_page": 1,
"partial": false,
"human": "# Target product reviews\n\n- **Product (TCIN):** 86216189\n- **Starting page:** 1\n- **Max items:** 2\n- **Records returned:** 2\n- **Proxy traffic:** 69.0 KB",
"machine": {
"total_items": 2,
"first_item": {
"id": "d3ccc542-fe71-4f57-8854-5cd8c1dfac90",
"rating": 5,
"title": "Three builds in one! So much fun!",
"text": "I really like the 3-in-1 concept because you’re not limited to building just one model. The space shuttle has a great classic LEGO look, and being able to take it apart and create different space-them",
"author": "Tiffany",
"source": "targetcom",
"is_syndicated": false,
"is_verified": true,
"is_recommended": true,
"helpful_count": 0,
"unhelpful_count": 0,
"photo_count": 0,
"submitted_at": "2026-09-16T02:36:59.000+00:00",
"created_at": "2026-09-16T02:36:59.000+00:00",
"updated_at": "2026-09-18T09:52:36.000+00:00"
},
"items": [
{
"id": "d3ccc542-fe71-4f57-8854-5cd8c1dfac90",
"rating": 5,
"title": "Three builds in one! So much fun!",
"text": "I really like the 3-in-1 concept because you’re not limited to building just one model. The space shuttle has a great classic LEGO look, and being able to take it apart and create different space-them",
"author": "Tiffany",
"source": "targetcom",
"is_syndicated": false,
"is_verified": true,
"is_recommended": true,
"helpful_count": 0,
"unhelpful_count": 0,
"photo_count": 0,
"submitted_at": "2026-09-16T02:36:59.000+00:00",
"created_at": "2026-09-16T02:36:59.000+00:00",
"updated_at": "2026-09-18T09:52:36.000+00:00"
},
{
"id": "558da1a7-df0d-4e39-9c80-c53403ad39f0",
"rating": 5,
"title": "Well worth the price point",
"text": "I built the third model first, then the shuttle thinking the astronaut would be my display piece, but the shuttle is such an impressive build for the price and scale, it's probably going to stay that ",
"author": "Meatbaal",
"source": "targetcom",
"is_syndicated": false,
"is_verified": true,
"is_recommended": true,
"helpful_count": 0,
"unhelpful_count": 0,
"photo_count": 0,
"submitted_at": "2026-09-06T22:39:45.000+00:00",
"created_at": "2026-09-06T22:39:45.000+00:00",
"updated_at": "2026-09-12T09:56:24.000+00:00"
}
],
"proxy_traffic_bytes": 70634
},
"total_points": 2
}- You send
- A Target TCIN or product URL, with optional max_items and start_page
- You get back
- Reviews with rating, title, text, author, verified flag and helpful votes
- Coverage
- What Target.com shows publicly for the request.
- Price
- 1 point per returned review, up to 500 per request — $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 |
|---|---|---|---|
| Browsing the site by hand | Open the reviews section and page through | Free, and slow | Fine for a handful of reviews, useless for analysis |
| Building a scraper | Write it, host it, and repair it when Target changes the results page | Engineering time | A maintenance commitment for something that isn't your product |
| NeuralVerge | One request, the input and options as parameters | $1 per 1,000, misses not billed | A broad request returns a broad — and larger, more expensive — result set |
What you get back
Every field in the response shown above.
| Field | Type | Description |
|---|---|---|
total_items | number | How many reviews were returned in this batch (capped by max_items). |
id | string | Review identifier. |
rating | number | Star rating the reviewer gave. |
title | string | Review headline. |
text | string | Review text (the sample shows a truncated opening). |
author | string | Reviewer display name. |
source | string | Where the review was submitted, e.g. targetcom. |
is_syndicated | boolean | Whether the review was syndicated from another site. |
is_verified | boolean | Whether the reviewer is marked as a verified purchaser. |
is_recommended | boolean | Whether the reviewer recommends the product. |
helpful_count | number | Number of helpful votes. |
unhelpful_count | number | Number of unhelpful votes. |
photo_count | number | Number of photos attached to the review. |
submitted_at | string | When the review was submitted. |
created_at | string | When the review was created. |
updated_at | string | When the review was last updated. |
How to run it
The same lookup works from the app, the API, or as a tool an agent can call mid-task.
product is the only required field. max_items caps the reviews returned (up to 500, defaults to 25) and sets what you are billed for; start_page lets you continue into older reviews.
curl -X POST https://api.neuralverge.ai/functions/v1/run-target-products-reviews \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "product": "86216189", "max_items": 25 }'What teams use it for
Where this field shows up in an actual workflow.
Read what recent buyers praise and complain about for a product.
Pull the newest reviews after a release or revision and see how sentiment lands.
Check recent low-rated reviews before sourcing or listing a similar product.
Collect rated review text for a category to train or test a classifier.
Coverage, freshness and limits
What this source covers, how fresh it is, and where it stops.
What Target.com shows publicly for the request.
Read at request time.
This source returns publicly visible product information, stamped with the input it was read from and a session id you can trace.
- —You get the reviews Target shows for the item; very new products may have few or none.
- —Review text is returned as the reviewer wrote it, in whatever style and length.
- —Syndicated reviews are included and flagged by is_syndicated.
Questions, answered
Newest first. Raise start_page to go further back.
Related sources
Try target product reviews on your own data
One request format across every source in the catalog.