TikTok

TikTok Shop Reviews Scraper

Extract the buyer reviews of US TikTok Shop products without logging in: star rating, review text, photos, variant bought, verified purchase flag, review date and reviewer, plus the product's rating breakdown. Sort and filter like the product page.

Run on Apify2 userson Apify, measured 2026-11-04

What it extracts

Every field below comes from the Actor’s published dataset schema.

Field	Description	Type
`productName`	Product	text
`rating`	Stars	number
`reviewText`	Review	text
`reviewImages`	Photos	array
`variant`	Variant	text
`reviewedAt`	Reviewed	date
`isVerifiedPurchase`	Verified purchase	boolean
`reviewerName`	Reviewer	text
`reviewCountry`	Country	text
`productRating`	Product rating	number
`productReviewCount`	Product reviews	number
`productUrl`	Product URL	link

Input parameters

Generated from the Actor’s input schema — the same fields the Apify console shows.

Parameter	Type	Required	Description
`startUrls`	array	Required	US TikTok Shop products whose reviews to scrape. Paste a product URL such as https://shop.tiktok.com/us/pdp/sweatpants-mens-regular-fit-casual-drawstring-waist-with-pockets/1729643276986913447, a www.tiktok.com/shop/pdp/… or www.tiktok.com/view/product/… link, or a bare product id. One entry per product, and as many products as you like.
`maxItems`	integer	Optional	Maximum number of reviews to scrape from each product (start URL).
`sortBy`	string	Optional	The order TikTok Shop lists the reviews in: Recommended (the product page's default) or Newest first.
`reviewFilter`	string	Optional	Which reviews to scrape, matching the filters on the product page: all reviews, one star rating, only reviews with photos or videos, or only verified purchases.
`proxyConfiguration`	object	Optional	TikTok Shop shows US product pages to US IP addresses only, so US residential proxies are used by default. When an Apify proxy has no country set, the US is used.

API access

Run this Actor from your own code over the Apify API.

Inputjson

{
  "startUrls": [
    "https://shop.tiktok.com/us/pdp/sweatpants-mens-regular-fit-casual-drawstring-waist-with-pockets/1729643276986913447"
  ]
}

REST — run and get resultsbash

curl -X POST \
  "https://api.apify.com/v2/acts/logical_scrapers~tiktok-shop-reviews-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":["https://shop.tiktok.com/us/pdp/sweatpants-mens-regular-fit-casual-drawstring-waist-with-pockets/1729643276986913447"]}'

JavaScript — apify-clientjavascript

import { ApifyClient } from 'apify-client'

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' })

const run = await client.actor('logical_scrapers~tiktok-shop-reviews-scraper').call({
  "startUrls": [
    "https://shop.tiktok.com/us/pdp/sweatpants-mens-regular-fit-casual-drawstring-waist-with-pockets/1729643276986913447"
  ]
})

const { items } = await client.dataset(run.defaultDatasetId).listItems()
console.log(items)

Python — apify-clientpython

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("logical_scrapers~tiktok-shop-reviews-scraper").call(run_input={
    "startUrls": [
        "https://shop.tiktok.com/us/pdp/sweatpants-mens-regular-fit-casual-drawstring-waist-with-pockets/1729643276986913447",
    ],
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Runs are executed on Apify. Create an API token in your Apify account, then call the Actor over REST or with the official client for your language. The same input object works in the Apify console, so you can test interactively before automating.

Pricing

Data not currently verified. This Actor's pricing model is not declared in our source repository.

Current rates are published on the Apify listing and can change, so they are not duplicated here. See pricing on Apify

Reliability

99.7% run success rate

Measured across all public Goldmine Actors on Apify, 2026-11-04. This is an account-level figure, not a per-Actor benchmark — per-Actor speed and completeness benchmarks are not yet published. Source.