# Tiktok Place / Location Review Scraper (`romy/tiktok-place-location-review-scraper`) Actor

Scrape TikTok Place pages — extract place details (name, category, address, rating) and all user reviews (star ratings, text, photos, author info) using pure HTTP — no browser required.

- **URL**: https://apify.com/romy/tiktok-place-location-review-scraper.md
- **Developed by:** [Romy](https://apify.com/romy) (community)
- **Categories:** Social media, Developer tools, Automation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 review scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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 Place Review Scraper

**Scrape TikTok Place pages** — extract place details (name, category, address, rating) and all user reviews (star ratings, text, photos, author info) using pure HTTP — no browser required.

### What does TikTok Place Review Scraper do?

This Actor scrapes [TikTok Place](https://www.tiktok.com/place/) pages to extract structured data about a location and its user-submitted reviews. For each place URL you provide, it returns:

- **Place details**: name, category, address, city, rating (1–5 stars), total review count, cover photos
- **Individual reviews**: star rating, review text, photos, author nickname, author level, like count, date

Data is returned as a flat dataset — one row per place (type: "place") followed by one row per review (type: "review") — making it easy to export to CSV, JSON, or Excel.

### Why use TikTok Place Review Scraper?

- **No browser needed**: Pure HTTP scraping via TikTok's mobile API — fast, efficient, and cheap to run
- **Complete review data**: Gets all reviews including text, star ratings, and photos — the same data shown in the TikTok mobile app
- **Bulk processing**: Pass multiple place URLs to scrape many locations in one run
- **Scheduled runs**: Use Apify scheduling to monitor reviews over time
- **API access**: Integrate with any system via Apify's REST API or webhook integrations

**Use cases**: competitive analysis, reputation monitoring, hospitality research, local business insights, sentiment analysis on food/service reviews.

### How to use TikTok Place Review Scraper

1. Go to the TikTok app or website and find the place you want to scrape
2. Copy the place URL (e.g. `https://www.tiktok.com/place/Warkopolim-Bintaro-42203861087297150`)
3. Paste the URL into the **Place URLs** input field
4. (Optional) Set **Max Reviews** to limit how many reviews to fetch per place
5. Click **Save & Run**
6. Download results from the **Output** tab as JSON, CSV, or Excel

### Input

| Field | Type | Description |
|-------|------|-------------|
| `startUrls` | Array | TikTok Place URLs to scrape |
| `maxReviews` | Integer | Max reviews per place (0 = all, default: 0) |
| `scrapeReviews` | Boolean | Whether to scrape reviews (default: true) |

**Example input:**

```json
{
  "startUrls": [
    { "url": "https://www.tiktok.com/place/Warkopolim-Bintaro-42203861087297150" },
    { "url": "https://www.tiktok.com/place/Tailor-Rebel-RECYCLE-ENTHUSIASM-21568226301443545" }
  ],
  "maxReviews": 100,
  "scrapeReviews": true
}
```

### Output

The dataset contains two record types mixed together:

**Place record** (`type: "place"`):

```json
{
  "type": "place",
  "poi_id": "42203861087297150",
  "name": "Warkopolim Bintaro",
  "category": "Indonesian Restaurant",
  "address": "Jl. Graha Raya Bintaro, Parigi Baru, Tangerang Selatan",
  "city": "South Tangerang",
  "rating": 4.8,
  "review_count": 24,
  "photos": ["https://lh3.googleusercontent.com/place-photos/..."]
}
```

**Review record** (`type: "review"`):

```json
{
  "type": "review",
  "poi_id": "42203861087297150",
  "place_name": "Warkopolim Bintaro",
  "review_id": "7649749774497284865",
  "star_rating": 5.0,
  "review_text": "Baru soft opening aja udah waiting list...",
  "review_images": ["https://p16-sign.tiktokcdn.com/..."],
  "review_images_count": 4,
  "author_user_id": "7012137590301344770",
  "author_unique_id": "sugarrbabbyy_",
  "author_nickname": "SUGARBABBYY",
  "author_level": "Lv.2",
  "like_count": 1,
  "created_at": "2026-06-10T13:56:35+00:00",
  "created_timestamp": 1781099795
}
```

You can download the dataset in various formats such as **JSON, CSV, Excel, or XML**.

### Data fields

| Field | Description |
|-------|-------------|
| `type` | "place" or "review" |
| `poi_id` | TikTok Place ID |
| `name` | Place name |
| `category` | Place category (e.g. "Indonesian Restaurant") |
| `address` | Full address |
| `city` | City |
| `rating` | Average star rating (1.0–5.0) |
| `review_count` | Total number of reviews |
| `star_rating` | Individual review star rating (1–5) |
| `review_text` | Review text written by the author |
| `review_images` | List of photo URLs attached to the review |
| `author_nickname` | Display name of the reviewer |
| `author_level` | Reviewer level (e.g. "Lv.2") if available |
| `like_count` | Number of likes on the review |
| `created_at` | Review creation date (ISO 8601) |

### Pricing

This Actor uses **Pay-Per-Event** pricing:

| Event | Price |
|-------|-------|
| Actor start | $0.05 |
| Per place scraped | $0.005 |
| Per review scraped | $0.003 |

A place with 100 reviews costs approximately **$0.36** ($0.05 + $0.005 + 100×$0.003).

### Tips

- **Get the POI ID from the URL**: The ID is the long number at the end of the TikTok Place URL (e.g. `42203861087297150`)
- **Use maxReviews=50** for a quick sample before scraping all reviews
- **Disable scrapeReviews** if you only need place metadata (faster, cheaper)

### FAQ & Disclaimer

**Is this legal?** This Actor scrapes publicly available data from TikTok Place pages, following the same data that is visible to any user in the TikTok app. Use responsibly and respect TikTok's Terms of Service. Do not use for mass data collection or any purpose that violates applicable laws.

**The URL format changed?** TikTok Place URLs follow the pattern `https://www.tiktok.com/place/<Name>-<ID>`. The scraper extracts the numeric ID from any URL matching this pattern.

**Got a bug or feature request?** Please report it in the [Issues tab](../../issues).

# Actor input Schema

## `startUrls` (type: `array`):

TikTok Place URLs to scrape (e.g. https://www.tiktok.com/place/PlaceName-123456789)

## `maxReviews` (type: `integer`):

Maximum number of reviews to scrape per place (0 = all)

## `scrapeReviews` (type: `boolean`):

Whether to scrape individual reviews (star ratings, text, photos). Disable to only get place details.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.tiktok.com/place/Warkopolim-Bintaro-42203861087297150"
    }
  ],
  "maxReviews": 0,
  "scrapeReviews": true
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# 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 = {
    "startUrls": [
        {
            "url": "https://www.tiktok.com/place/Warkopolim-Bintaro-42203861087297150"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("romy/tiktok-place-location-review-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 = { "startUrls": [{ "url": "https://www.tiktok.com/place/Warkopolim-Bintaro-42203861087297150" }] }

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

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

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

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://www.tiktok.com/place/Warkopolim-Bintaro-42203861087297150"
    }
  ]
}' |
apify call romy/tiktok-place-location-review-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=romy/tiktok-place-location-review-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/uSd6cQKbGwMD226Q4/builds/tPbYWuvvyBX3ga7E1/openapi.json