Fanatics

Fanatics Reviews API

Real customer review text for one fanatics.com product by id or URL, 1 to 50 reviews per call (default 10), sorted highest rated (default, the site's order), lowest rated, most recent or most helpful, optionally only one star rating. Returns the rating stats (review_count, rating_count, average, the 1-5 distribution, fit, quality and value averages), the site's own AI-written review summary (labelled ai_summary) and the features reviewers mention. Each review has rating, fit, quality, value, recommended, title, text, nickname, dates, incentivized, helpful votes, features with sentiment, photos and the product it was written for: Fanatics pools reviews across a style, so the list covers sibling products. Slow: usually 20 to 90 seconds, allow 300. US only. Costs 1 credit per request.

POST/api/v1/fanatics/reviews

Authorizations

Authorizationstringheaderrequired

Bearer authentication header of the form Bearer <token>, where <token> is your Scavio API key (e.g. Bearer sk_live_your_key).

Body

application/json

product_idstring

A Fanatics product id (a search result's id). One of product_id or url is required.

Example: 3892922

urlstring

A fanatics.com product URL. Alternative to product_id.

Example: https://www.fanatics.com/x/p-3892922

countryenum<string>default:us

us only: this endpoint covers fanatics.com (United States) and nothing else. Any other value is a 400.

Example: us

us — United States (fanatics.com). The only value.

sortenum<string>default:highest_rated

The order of the reviews.

Example: most_recent

highest_rated — The site's own order on load. The default.
lowest_rated — Lowest star rating first.
most_recent — Newest first.
most_helpful — Most helpful votes first.

ratinginteger

Only reviews with this many stars, 1-5.

Example: 1

limitinteger

Reviews to return, 1-50. Defaults to 10. More than 10 takes a few seconds longer per 8.

Example: 50

Request

from scavio import ScavioClient

client = ScavioClient(api_key="sk_live_your_key")

# This call usually takes 20-90 s; give your client 300 s.
res = client.fanatics.reviews(product_id="3892922", sort="most_recent", limit=26)["data"]
print(res["stats"]["average"], "stars,", res["stats"]["fit"]["average"], "fit (3 = true to size)")

# Reviews cover the whole style: keep the ones written for this product.
mine = [r for r in res["reviews"] if r["product_id"] == "3892922"]
for r in mine:
    print(r["submitted_at"][:10], r["rating"], r["fit"], r["text"][:80])

Response

"product_id": "3892922",

"product_title": "Patrick Mahomes Kansas City Chiefs Nike Women's Game Jersey - Red",

"ai_summary": "Customers overwhelmingly praise the jersey's beautiful design, vibrant colors, and striking appearance, with many reporting compliments when wearing it. Reviewers consistently describe the material as well-made and durable with precise stitching that feels premium. However, a notable concern emerges around sizing, as many customers report the jerseys run substantially smaller than expected, with some noting they fit like a size smaller despite ordering their usual size. Despite this sizing inconsistency, most customers remain satisfied with the overall quality and aesthetic appeal.",

"ai_summary_at": "2026-08-05T10:27:34.000Z",

"style_rollup": true,

"sort": "highest_rated",

"rating_filter": null,

"matching_reviews": 993,

"count": 10,

"response_time": 69210

}

from scavio import ScavioClient client = ScavioClient(api_key="sk_live_your_key") # This call usually takes 20-90 s; give your client 300 s. res = client.fanatics.reviews(product_id="3892922", sort="most_recent", limit=26)["data"] print(res["stats"]["average"], "stars,", res["stats"]["fit"]["average"], "fit (3 = true to size)") # Reviews cover the whole style: keep the ones written for this product. mine = [r for r in res["reviews"] if r["product_id"] == "3892922"] for r in mine: print(r["submitted_at"][:10], r["rating"], r["fit"], r["text"][:80])