TikTok Places Scraper — locations and reviews

TikTok Places Scraper — locations and reviews

Search TikTok's place directory and pull each location's reviews with star ratings. For local research, restaurant and venue discovery, and review monitoring.

No login, no cookies, no browser.

Reviews here paginate properly

Unusually for TikTok's public surface, this list is deterministic: the cursor is an offset advancing 0 → 6 → 12, and four identical runs returned the same 17 reviews across three pages with none repeated. No re-ranking, so no de-duplication needed and a deep ask is honoured.

Place search, by contrast, returns one page — 30 per term is the ceiling, and more terms is the way to more places. The input caps at 30 rather than accepting a number it cannot honour.

How to use

1. Click Try for free at the top of this page. Apify creates a free account if you do not have one — no card is needed to run this.
2. Put what you want scraped into Search terms — one per line.
3. Set Max places per term to bound the run, then press Start. You are billed per row, so this field is also your budget.
4. Rows show up in the Dataset tab while the run is still going. Export to JSON, CSV, Excel or XML from there, or read them over the API.

Input

field
searchTerms		A business name, a category, or a name plus a city
placeIds		Numeric place IDs from an earlier run
maxPlacesPerTerm	20	Ceiling is 30 — one page per term
includeReviews	on	A row per review
maxReviewsPerPlace	30

Every field, with its default — paste the whole block and delete what you do not need:

{
  "searchTerms": [
    "starbucks"
  ],
  "placeIds": [],
  "maxPlacesPerTerm": 20,
  "includeReviews": true,
  "maxReviewsPerPlace": 30
}

Output

rowType separates the two shapes.

Places — placeId, placeName, placeType, address, city, rating, videoCount, lat, lng, priceLevel, openingTime, imageUrl.

Reviews — placeId, placeName, reviewId, reviewRating, reviewText, reviewLanguage, reviewAuthor, reviewAuthorNickname, reviewAuthorId, isAnonymous, createdAt, reviewSource, brand.

One row, exactly as it lands in your dataset (long signed CDN links shortened here for readability):

{
  "rowType": "place",
  "searchTerm": "pizza new york",
  "placeId": "21568226266007365",
  "placeName": "Prince Street Pizza",
  "placeType": "Pizza Fast Food",
  "address": "27 Prince St, New York, NY 10012, USA",
  "city": "New York",
  "rating": 4.2,
  "videoCount": 584,
  "lat": 40.723053,
  "lng": -73.99455,
  "priceLevel": "$",
  "openingTime": null,
  "imageUrl": "https://p16-tiktok-poi-picture-sign.tiktokcdn-us.com/tos-useast5-i-8rf…?…"
}

Notes

• Place IDs are 17+ digit strings and are emitted as strings. TikTok sends them as JSON numbers, which most parsers silently round into a different id. Every id here is emitted as a string so it survives a spreadsheet or a JSON parser intact.
• Passing a bare placeId gets you its reviews, but not its name or address: those come from place search. The row says so rather than leaving the fields unexplained.
• A place can have zero reviews, and a review can be rating-only with no text. Both are real states, not errors.
• rating, openingTime and priceLevel are sparse — TikTok holds them for a minority of places, so expect most rows to leave them empty. Measured on a starbucks search: a rating on 1 place in 5 and opening hours on none. They are listed above because they arrive when TikTok has them, not because most rows will.
• Only public data. There is no login.

Run it from your own code

Every Actor is an API endpoint. This starts a run, waits for it, and returns the rows in one call — swap in your token from Settings → Integrations:

curl -X POST 'https://api.apify.com/v2/acts/mu0i~tiktok-places-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{
    "searchTerms": [
      "starbucks"
    ],
    "placeIds": [],
    "maxPlacesPerTerm": 20,
    "includeReviews": true,
    "maxReviewsPerPlace": 30
  }'

Pricing

Pay per result — you are billed for rows you receive, not for time or compute.

Event	Per 1,000	What one unit is
place	$2.00	one place in the dataset
review	$1.20	one review in the dataset

Paid Apify plans pay less than this. The table above is the free-plan rate. Starter, Scale and Business each get a lower per-unit price — up to 55% off on Business — and the Actor's Pricing tab shows every tier before you run anything.

Starting a run costs $0.00001 — a cent per thousand runs — and there is no run minimum. You are never billed for a run that found nothing. If an input has nothing to collect the run says so in a row of the dataset — never a silently empty result, and never a charge. A run that fails because the data could not be reached fails loudly, because that one is worth retrying.

Related Actors

Fourteen Actors covering the whole public TikTok surface. Same billing rules and the same guarantees throughout: billed once for each row you receive, never billed for a run that found nothing, and told in the dataset why it found nothing.

Actor	What it does
TikTok Search Scraper — videos, users, hashtags	Keyword search across every tab, deduplicated.
TikTok Hashtag Scraper — videos by hashtag	Every video under a hashtag, walked deep.
TikTok Trending Scraper — the real Explore feed	The app's real Explore feed, not Creative Center.
TikTok Profile Scraper — followers, likes, bio	Followers, likes, bio for any public account.
TikTok User Posts Scraper — every video + stats	Every video an account posted, with stats.
TikTok Comments Scraper — replies, no duplicates	Every comment and reply, no duplicate pages.
TikTok Video Downloader — no watermark MP4/MP3	No-watermark MP4, MP3, covers and subtitles.
TikTok Transcript Scraper — no AI, no waiting	Subtitles from TikTok's own caption track.
TikTok Sound Scraper — videos using a sound	Videos that actually use a sound, filtered.
TikTok Live Scraper — rooms, viewers, streams	Live rooms with playable stream links.
TikTok Shop Scraper — Products, Sellers & Reviews	Shop search, product detail, seller catalogue.
TikTok Shop Category Scraper — every product	Every product in a Shop category and its subcategories.
TikTok Shop Reviews Scraper — full archive	The full review archive for a Shop product.