# Google Maps Scraper — Places, Reviews, Photos (`scrape.badger/google-maps-scraper`) Actor
Scrape Google Maps at scale: search places by keyword or location, fetch full place details (hours, contact, rating breakdown, popular times), reviews with topic filters, photos, and place posts. 200+ country domains, GPS + business-type targeting. No CAPTCHAs — handled by ScrapeBadger.
- **URL**: https://apify.com/scrape.badger/google-maps-scraper.md
- **Developed by:** [Scrape Badger](https://apify.com/scrape.badger) (community)
- **Categories:** Developer tools, Automation, Lead generation
- **Stats:** 3 total users, 0 monthly users, 82.4% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $3.00 / 1,000 maps pages
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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
### What does Google Maps Scraper do?
Scrape [Google Maps](https://www.google.com/maps) at scale — search places by keyword and location, fetch full place details (hours, contact, rating breakdown, popular times), list reviews with topic filters, photos, and merchant posts.
### Why use Google Maps Scraper?
- **Five modes, one actor.** Search Places → Get Place Detail → List Reviews / Photos / Posts — the full Google Maps data surface.
- **GPS viewport targeting.** `@lat,lng,zoom` for pinpoint area searches.
- **Business-type filters.** `restaurant`, `hotel`, `coffee_shop`, `gas_station`, `gym` — 4,000+ Google categories.
- **200+ country domains.** Local rankings with `gl` + `hl` targeting.
- **Reviews sort + topic filter.** `newestFirst`, `highestRating`, filter by topic keyword.
### What data can Google Maps Scraper extract?
| Field | Type | Description |
|---|---|---|
| title | string | Place name |
| place_id | string | Google Place ID (ChIJ…) |
| data_id | string | Google Maps data_id (0x…:0x…) |
| rating | number | Average star rating |
| reviews | number | Total review count |
| address | string | Formatted street address |
| phone | string | Phone number |
| website | string | Business website |
| gps_coordinates | object | `{lat, lng}` |
| hours | object | Weekly opening hours |
| type | array | Google category slugs |
| photos / reviews / posts | array | In per-mode calls — see the matching micro-actors for batch workflows |
### How to scrape Google Maps
1. Click **Try for free**.
2. Pick a `mode`: `Search Places`, `Get Place Detail`, `List Reviews`, `List Photos`, or `List Posts`.
3. Fill in the required input — `q` for Search Places, `place_id` for the detail / list modes.
4. Optional: set `gl`, `hl`, GPS `ll` viewport, `type` business category.
5. For list modes, set `max_pages` (1-20).
6. Click **Start** — results stream per-place into the dataset.
### How much will it cost?
**$0.003 per page (search / reviews / photos / posts) · $0.005 per Place Detail.** One credit-equivalent per API call. `List Reviews` with `max_pages: 10` is 10 calls = $0.03. `Get Place Detail` is a single richer call.
#### Competitor benchmark
| Actor | Author | Price | Notes |
|---|---|---|---|
| compass/crawler-google-places | Compass | ~$7 / 1k places | Most popular, per-place pricing |
| apify/google-maps-scraper | Apify | ~$9 / 1k places | Official Apify actor |
| lukas_krivka/google-maps-with-contact-details | Lukas Krivka | ~$5 / 1k | Contact-focused |
| **scrape-badger/google-maps-scraper** | **ScrapeBadger** | **$3 / 1k pages** | **Undercuts every major** |
### Input
Configure the run in the **Input** tab above, or pass a JSON object matching the fields below when calling the Actor via the Apify API.
| Field | Required | Description |
|---|---|---|
| mode | ✅ | `Search Places` / `Get Place Detail` / `List Reviews` / `List Photos` / `List Posts`. |
| q | Search only | Search query. |
| place_id | Detail / list modes | Google Place ID (ChIJ…). |
| data_id | — | Alternative to place_id for list modes. |
| ll | — | GPS viewport `@lat,lng,zoom`. |
| gl / hl | — | Country + language. |
| type | — | Business category (Search only). |
| sort_by / topic_id | — | Reviews-only filters. |
| max_pages | — | 1-20 for list modes. |
### Output
Every successful run streams records into the run's dataset. Download as JSON, CSV, XML, Excel, or HTML from the **Dataset** tab; consume programmatically via the Apify API or webhooks.
Example record:
```json
{
"title": "Blue Bottle Coffee",
"place_id": "ChIJ_3Su08fj5UYRkFfNoiuWQUk",
"rating": 4.6,
"reviews": 1284,
"address": "1 Rockefeller Plaza, New York, NY 10020",
"phone": "+1 212-555-0198",
"website": "https://bluebottlecoffee.com",
"gps_coordinates": {
"lat": 40.758,
"lng": -73.978
},
"type": [
"cafe",
"coffee_shop"
]
}
````
### Tips / Advanced options
- **Pipe Search → List Reviews.** Run `Search Places` first, pipe each `place_id` through `google-maps-reviews-scraper` for 100% batch efficiency.
- **GPS viewport beats `q`-based searches for hyperlocal ranking.** Google ranks results differently when you pass `ll` vs. a text-based location in the query.
- **Reviews volume estimate.** Each reviews page ≈ 10 reviews. Budget `max_pages` accordingly.
- **Use micro-actors for single-purpose batch workflows.** `google-maps-reviews-scraper` and `google-maps-photos-scraper` accept many place\_ids per run — one Apify job instead of N.
### FAQ, Disclaimers, Support
#### What's the difference between `place_id` and `data_id`?
`place_id` starts with `ChIJ…` and is Google's durable place identifier. `data_id` (`0x…:0x…`) is Google Maps' internal ID. Either works for list modes; the actor normalises them.
#### Does this include reviews?
Yes — use `mode: List Reviews` or the dedicated `google-maps-reviews-scraper` for batch workflows.
#### Can I filter by opening hours?
Google doesn't expose that as a filter; you'll have to post-filter the output's `hours` field.
#### What's `ludocid`?
Google's Location Document ID (the numeric ID in `cid=` URL parameters). Alternative to `place_id` for direct-lookup.
#### Disclaimer
This Actor scrapes public Google data only. You're responsible for compliance with Google's Terms of Service and any applicable data-protection laws (GDPR, CCPA, etc.) in your jurisdiction. ScrapeBadger does not store the scraped results — they are delivered directly to your Apify dataset.
#### Support
Something not working? Open a ticket in the **Issues** tab above — we triage within one business day. Full API reference: [docs.scrapebadger.com](https://docs.scrapebadger.com).
#### Related Actors
- [`google-maps-reviews-scraper`](https://apify.com/scrape-badger/google-maps-reviews-scraper) — Reviews-only, batch place\_ids
- [`google-maps-photos-scraper`](https://apify.com/scrape-badger/google-maps-photos-scraper) — Photos-only, batch place\_ids
#### Powered by
[ScrapeBadger](https://scrapebadger.com) — Google-optimised residential proxy pool + browser-farm fallback, 99.7% uptime, unmetered bandwidth. No CAPTCHAs reach you.
# Actor input Schema
## `mode` (type: `string`):
Pick the Maps call to run. Each mode uses different required inputs.
## `q` (type: `string`):
Search text (e.g. pizza in New York). Required for Search Places unless a place\_id / ludocid is provided.
## `ll` (type: `string`):
Optional map viewport in @lat,lng,zoom format. Example: @40.745,-74.008,14z. Defaults to country capital at city zoom.
## `gl` (type: `string`):
ISO 3166-1 alpha-2 country code (lowercase).
## `hl` (type: `string`):
Language code for the response (BCP-47, e.g. 'en', 'en-GB', 'de'). Affects result language and locale-specific labels.
## `type` (type: `string`):
Google business category slug: restaurant, hotel, coffee\_shop, gas\_station, etc. Optional.
## `place_id` (type: `string`):
Google Place ID (ChIJ…). Required for Get Place Detail, List Reviews, List Photos, List Posts unless data\_id is provided.
## `data_id` (type: `string`):
Google Maps data\_id (0x…:0x…) — alternative to place\_id for reviews / photos / posts.
## `ludocid` (type: `string`):
Google Location Document ID. Alternative to place\_id for Search Places direct-lookup.
## `sort_by` (type: `string`):
Order in which Google should return reviews. mostRelevant returns Google's quality-ranked default; newestFirst chronological; highestRating / lowestRating sort by stars.
## `topic_id` (type: `string`):
Filter reviews by a Google-provided topic keyword (e.g. service, food). Optional.
## `max_pages` (type: `integer`):
How many pages of results to fetch. Each page = 1 API call (credits). Applies to Search Places, List Reviews, List Photos, List Posts.
## Actor input object example
```json
{
"mode": "Search Places",
"q": "best coffee shops",
"gl": "us",
"hl": "en",
"sort_by": "mostRelevant",
"max_pages": 3
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"q": "best coffee shops"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrape.badger/google-maps-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "q": "best coffee shops" }
# Run the Actor and wait for it to finish
run = client.actor("scrape.badger/google-maps-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 '{
"q": "best coffee shops"
}' |
apify call scrape.badger/google-maps-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrape.badger/google-maps-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Maps Scraper — Places, Reviews, Photos",
"description": "Scrape Google Maps at scale: search places by keyword or location, fetch full place details (hours, contact, rating breakdown, popular times), reviews with topic filters, photos, and place posts. 200+ country domains, GPS + business-type targeting. No CAPTCHAs — handled by ScrapeBadger.",
"version": "1.0",
"x-build-id": "jgjI5C50xL1qbyqyp"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrape.badger~google-maps-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrape.badger-google-maps-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrape.badger~google-maps-scraper/runs": {
"post": {
"operationId": "runs-sync-scrape.badger-google-maps-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrape.badger~google-maps-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrape.badger-google-maps-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"mode"
],
"properties": {
"mode": {
"title": "Mode",
"enum": [
"Search Places",
"Get Place Detail",
"List Reviews",
"List Photos",
"List Posts"
],
"type": "string",
"description": "Pick the Maps call to run. Each mode uses different required inputs.",
"default": "Search Places"
},
"q": {
"title": "Query",
"type": "string",
"description": "Search text (e.g. pizza in New York). Required for Search Places unless a place_id / ludocid is provided."
},
"ll": {
"title": "GPS viewport",
"type": "string",
"description": "Optional map viewport in @lat,lng,zoom format. Example: @40.745,-74.008,14z. Defaults to country capital at city zoom."
},
"gl": {
"title": "Country",
"type": "string",
"description": "ISO 3166-1 alpha-2 country code (lowercase).",
"default": "us"
},
"hl": {
"title": "Language",
"type": "string",
"description": "Language code for the response (BCP-47, e.g. 'en', 'en-GB', 'de'). Affects result language and locale-specific labels.",
"default": "en"
},
"type": {
"title": "Business type",
"type": "string",
"description": "Google business category slug: restaurant, hotel, coffee_shop, gas_station, etc. Optional."
},
"place_id": {
"title": "Place ID",
"type": "string",
"description": "Google Place ID (ChIJ…). Required for Get Place Detail, List Reviews, List Photos, List Posts unless data_id is provided."
},
"data_id": {
"title": "Data ID",
"type": "string",
"description": "Google Maps data_id (0x…:0x…) — alternative to place_id for reviews / photos / posts."
},
"ludocid": {
"title": "Ludocid (CID)",
"type": "string",
"description": "Google Location Document ID. Alternative to place_id for Search Places direct-lookup."
},
"sort_by": {
"title": "Reviews sort order",
"enum": [
"mostRelevant",
"newestFirst",
"highestRating",
"lowestRating"
],
"type": "string",
"description": "Order in which Google should return reviews. mostRelevant returns Google's quality-ranked default; newestFirst chronological; highestRating / lowestRating sort by stars.",
"default": "mostRelevant"
},
"topic_id": {
"title": "Reviews topic filter",
"type": "string",
"description": "Filter reviews by a Google-provided topic keyword (e.g. service, food). Optional."
},
"max_pages": {
"title": "Max pages",
"minimum": 1,
"maximum": 20,
"type": "integer",
"description": "How many pages of results to fetch. Each page = 1 API call (credits). Applies to Search Places, List Reviews, List Photos, List Posts.",
"default": 3
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```