Google Maps Reviews Scraper

The NanoScrape Google Maps Reviews Scraper is an Apify actor that extracts product listings and prices from maps.google.com. It returns 26 fields per result including name, rating, place_name, place_address, place_rating, priced at $0.3/1k review, with no API key or monthly subscription required.

Scrape Google Maps reviews for any place URL or place ID (source platform). One row per review with rating, text, date, author, photos and the owner's reply. No login required. Pay-per-result.

What you can scrape — 26 fields per result

Input example — showcase (full detail)

{
  "startUrls": [
    {
      "url": "https://www.google.com/maps/place/?q=place_id:ChIJOUaXTwcKkEcRoKwC-x6RFew"
    }
  ],
  "maxReviewsPerPlace": 20,
  "reviewsSort": "newest",
  "language": "en"
}

Output example — real dataset item (PII scrubbed)

{
  "place_id": "ChIJOUaXTwcKkEcRoKwC-x6RFew",
  "data_id": "0x47900a074f974639:0xec15911efb02aca0",
  "place_name": "Old Crow",
  "place_url": "https://www.google.com/maps/place/?q=place_id:ChIJOUaXTwcKkEcRoKwC-x6RFew",
  "place_address": "Old Crow, Schwanengasse 4, 8001 Zürich, Switzerland",
  "place_rating": 4.7,
  "place_review_count": 1321,
  "name": "Dave Westover",
  "profile_link": "https://www.google.com/maps/contrib/110923814826171809789/reviews?hl=en",
  "rating": 5,
  "text": "There is a 23 (A5) page cocktail list. Their spirits list is 61 (A4) pages. A very friendly welcome from the staff and friendly fellow drinkers at the bar.\nVery much worth a visit, whilst you're in Zürich.\n(I didn't eat, nor see food here, as l arrived late mid evening. )",
  "published_at": "2026-10-15",
  "response_from_owner": null,
  "review_id": "Ci9DQUlRQUNvZENodHljRjlvT21WRk4yMVRRMmRpZUdaWmF6WlhjWGxHVDFObWIwRRAB",
  "author_review_count": 199,
  "published_at_iso": "2026-10-15T14:10:43Z",
  "is_local_guide": true,
  "review_url": "https://www.google.com/maps/reviews/data=!4m8!14m7!1m6!2m5!1sCi9DQUlRQUNvZENodHljRjlvT21WRk4yMVRRMmRpZUdaWmF6WlhjWGxHVDFObWIwRRAB!2m1!1s0x0:0xec15911efb02aca0!3m1!1s2@1:CAIQACodChtycF9oOmVFN21TQ2dieGZZazZXcXlGT1Nmb0E%7C%7C?hl=en-US",
  "reviewer_id": "110923814826171809789",
  "author_photo_count": 3552,
  "original_language": "en",
  "translated_text": null,
  "translated_language": null,
  "detailed_ratings": [
    {
      "key": "GUIDED_DINING_PRICE_RANGE",
      "name": "Price per person",
      "value": "CHF 60–70",
      "rating": null
    },
    {
      "key": "GUIDED_DINING_SERVICE_ASPECT",
      "name": "Service",
      "value": "5",
      "rating": 5
    },
    {
      "key": "GUIDED_DINING_ATMOSPHERE_ASPECT",
      "name": "Atmosphere",
      "value": "5",
      "rating": 5
    },
    {
      "key": "GUIDED_DINING_NOISE_LEVEL",
      "name": "Noise level",
      "value": "Moderate noise",
      "rating": null
    },
    {
      "key": "GUIDED_DINING_GROUP_SIZE",
      "name": "Group size",
      "value": "Suitable for all group sizes",
      "rating": null
    },
    {
      "key": "GUIDED_DINING_WAIT_TIME",
      "name": "Wait time",
      "value": "No wait",
      "rating": null
    }
  ],
  "scraped_at": "2026-10-26T06:36:12Z"
}

Cost math

Priced at $0.0003 per review ($0.30 per 1,000). 1,000 reviews ≈ $0.30. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

Input

Give Google Maps place URLs in startUrls (the full place URL containing !1s0x...:0x..., a ?ftid= link, a ?q=place_id: link or a maps.app.goo.gl short link), place IDs or data IDs in placeIds, or both. Search result URLs and CID-only links are not supported. maxReviewsPerPlace (default 100, up to 5,000) caps the reviews per place, reviewsSort picks newest (default), relevant, highest or lowest, and reviewsStartDate (YYYY-MM-DD) skips older reviews and stops paging early. language (default en) sets the interface language sent to Google. Places listed twice are scraped once.

Integrations

• n8n / Make / Zapier — trigger runs and process results via webhook
• AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
• Python / Node.js — Apify SDK for programmatic access
• Google Sheets / Airtable — export via Apify integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run google-maps-reviews-scraper in your browser - no code, no install. In the Apify console you get:

• One-click test - fill in the input form, or paste the JSON example above into the JSON editor tab, then hit Start.
• Live output - watch rows stream into an interactive Output table as they arrive, or flip to the raw JSON / Log view.
• Export in any format - one click to download the dataset as JSON, CSV, XML, Excel, HTML table, RSS, or JSONL.
• Schedules - run this actor daily, weekly, hourly, or on a custom cron. Apify handles timing and stores every dataset run.
• Integrations & webhooks - fire a webhook on success/failure, or plug into Zapier, n8n, Make, Airbyte, Google Sheets, Slack, S3, Postgres, and more from the Actions tab.
• Transparent cost - see exact usage against your $5/month free tier before you spend a cent.

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

1. Sign up for a free Apify account (Google, GitHub, or email).
2. Go to Settings → Integrations → API tokens.
3. Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully. How many results that covers depends on the actor's price per result.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~google-maps-reviews-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/google-maps-reviews-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/google-maps-reviews-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/google-maps-reviews-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();

// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/google-maps-reviews-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/google-maps-reviews-scraper

Example prompt once connected:

"Use <code>google-maps-reviews-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

FAQ

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Last verified run: 2026-10-26 · Actor v0.1.1 · Maintained by NanoScrape (santamaria-automations on Apify)