# TikTok Places Scraper — locations and reviews (`mu0i/tiktok-places-scraper`) Actor

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

- **URL**: https://apify.com/mu0i/tiktok-places-scraper.md
- **Developed by:** [Mu0i](https://apify.com/mu0i) (community)
- **Categories:** Travel, Social media, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.90 / 1,000 places

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### 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:

```json
{
  "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):

```json
{
  "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**:

```bash
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](https://apify.com/mu0i/tiktok-search-scraper) | Keyword search across every tab, deduplicated. |
| [TikTok Hashtag Scraper — videos by hashtag](https://apify.com/mu0i/tiktok-hashtag-scraper) | Every video under a hashtag, walked deep. |
| [TikTok Trending Scraper — the real Explore feed](https://apify.com/mu0i/tiktok-trending) | The app's real Explore feed, not Creative Center. |
| [TikTok Profile Scraper — followers, likes, bio](https://apify.com/mu0i/tiktok-profile-scraper) | Followers, likes, bio for any public account. |
| [TikTok User Posts Scraper — every video + stats](https://apify.com/mu0i/tiktok-user-posts) | Every video an account posted, with stats. |
| [TikTok Comments Scraper — replies, no duplicates](https://apify.com/mu0i/tiktok-comments-scraper) | Every comment and reply, no duplicate pages. |
| [TikTok Video Downloader — no watermark MP4/MP3](https://apify.com/mu0i/tiktok-video-downloader) | No-watermark MP4, MP3, covers and subtitles. |
| [TikTok Transcript Scraper — no AI, no waiting](https://apify.com/mu0i/tiktok-transcripts) | Subtitles from TikTok's own caption track. |
| [TikTok Sound Scraper — videos using a sound](https://apify.com/mu0i/tiktok-sound-scraper) | Videos that actually use a sound, filtered. |
| [TikTok Live Scraper — rooms, viewers, streams](https://apify.com/mu0i/tiktok-live-scraper) | Live rooms with playable stream links. |
| [TikTok Shop Scraper — Products, Sellers & Reviews](https://apify.com/mu0i/tiktok-shop-scraper) | Shop search, product detail, seller catalogue. |
| [TikTok Shop Category Scraper — every product](https://apify.com/mu0i/tiktok-shop-category-scraper) | Every product in a Shop category and its subcategories. |
| [TikTok Shop Reviews Scraper — full archive](https://apify.com/mu0i/tiktok-shop-reviews-scraper) | The full review archive for a Shop product. |

# Actor input Schema

## `searchTerms` (type: `array`):

A business name, a category, or a name plus a city — e.g. 'starbucks', 'ramen tokyo'. One per line.

## `placeIds` (type: `array`):

Numeric TikTok place IDs from an earlier run.

## `maxPlacesPerTerm` (type: `integer`):

TikTok's place search returns one page, so 30 is the ceiling per term. Use more terms for more places.

## `includeReviews` (type: `boolean`):

Adds a row per review. Reviews paginate deterministically here, so a deep ask is honoured — but each place costs its own requests.

## `maxReviewsPerPlace` (type: `integer`):

Only used when reviews are enabled.

## Actor input object example

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

# Actor output Schema

## `results` (type: `string`):

Places with addresses and coordinates, plus reviews when requested.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchTerms": [
        "starbucks"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mu0i/tiktok-places-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "searchTerms": ["starbucks"] }

# Run the Actor and wait for it to finish
run = client.actor("mu0i/tiktok-places-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchTerms": [
    "starbucks"
  ]
}' |
apify call mu0i/tiktok-places-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mu0i/tiktok-places-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/gH13aVzsRLj1UZvV4/builds/qxOHAN1OyxwDD3Qw3/openapi.json