# Google Maps Reviews Scraper (`louisdeconinck/google-maps-reviews-scraper`) Actor Scrape reviews from Google Maps locations. Extract detailed data including reviewer info, rating, and review text. Features include handling consent screens, expanding "See more" buttons, scrolling to load more reviews, and deduplicating results. Ideal for market research and competitor analysis. - **URL**: https://apify.com/louisdeconinck/google-maps-reviews-scraper.md - **Developed by:** [Louis Deconinck](https://apify.com/louisdeconinck) (community) - **Categories:** SEO tools, Travel - **Stats:** 473 total users, 1 monthly users, 100.0% runs succeeded, 9 bookmarks - **User rating**: 1.15 out of 5 stars ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Google Maps Reviews Scraper This Actor scrapes reviews from Google Maps locations. It allows you to extract detailed review data including reviewer information, ratings, review text, and more. ### Features - Scrapes reviews from Google Maps location pages - Extracts reviewer name, rating, review text, date, and other metadata - Handles consent screens and expands "See more" buttons - Scrolls to load more reviews - Deduplicates reviews to avoid duplicates - Configurable maximum number of reviews to scrape per URL ### Use cases - **Market Research**: Analyze customer feedback and reviews to understand customer sentiment, identify trends, and make data-driven decisions. - **Competitor Analysis**: Scrape reviews from competitor locations to benchmark performance and identify areas for improvement. - **Content Planning**: Gather customer reviews to inform content strategy, product development, and marketing initiatives. ### Input The Actor accepts the following input parameters: - `startUrls` (required): An array of Google Maps URLs to scrape reviews from - `maxReviewsPerUrl` (optional): Maximum number of reviews to scrape per URL (default: 50) Example input: ```json { "startUrls": [ { "url": "https://www.google.com/maps/place/Noma/@55.6828273,12.6079059,16z/data=!3m1!4b1!4m6!3m5!1s0x4652533b679080a5:0x42eaecc5eb37e114!8m2!3d55.6828273!4d12.6104808!16s%2Fm%2F02qsmm3!5m1!1e4?entry=ttu&g_ep=EgoyMDI0MTAyMC4xIKXMDSoASAFQAw%3D%3D" }, { "url": "https://www.google.com/maps/place/Disfrutar/@41.3877627,2.1506241,17z/data=!3m1!4b1!4m6!3m5!1s0x12a4a285bbc62c4d:0xcd8a70d67beb3993!8m2!3d41.3877627!4d2.153199!16s%2Fg%2F11b6p9j0sw!5m1!1e4?entry=ttu&g_ep=EgoyMDI0MTAyMC4xIKXMDSoASAFQAw%3D%3D" } ], "maxReviewsPerUrl": 100 } ``` ### Output The Actor outputs a dataset with the following fields: - `url`: The URL of the Google Maps location - `locationName`: The name of the location - `reviewId`: The ID of the review - `reviewerName`: The name of the reviewer - `isLocalGuide`: Whether the reviewer is a local guide - `reviewsAmount`: The total number of reviews by this reviewer - `photosAmount`: The total number of photos by this reviewer - `reviewerLink`: The link to the reviewer's Google Maps profile - `rating`: The rating of the review - `date`: The date of the review - `text`: The text of the review - `photos`: An array of photo URLs used in the review Example output: ```json { "url": "https://www.google.com/maps/place/Noma/@55.6828273,12.6079059,16z/data=!3m1!4b1!4m6!3m5!1s0x4652533b679080a5:0x42eaecc5eb37e114!8m2!3d55.6828273!4d12.6104808!16s%2Fm%2F02qsmm3!5m1!1e4?entry=ttu&g_ep=EgoyMDI0MTAyMC4xIKXMDSoASAFQAw%3D%3D", "locationName": "Noma", "reviewId": "ChZDSUhNMG9nS0VJQ0FnSURydU5tU1JREAE", "reviewerName": "Bel", "isLocalGuide": true, "reviewsAmount": 425, "photosAmount": 812, "reviewerLink": "https://www.google.com/maps/contrib/115565173774207530812", "rating": 4, "date": "3 months ago", "text": "Finally we got to try the famous Noma. It's the vegetable season and some say it is when you get the most creative dishes. We were indeed marvelled by all the plates beautifully presented to us. Taste was mostly great. The bamboo dish was a bit surprising to me. Staff told us to eat it like a panda. For drinks, we are not heavy wine drinkers. So, as the staff also recommended, one of us had wine, and the other had juice. We just shared the drinks with each other. We also liked the casual and friendly atmosphere. Most customers did not dress up to dine here. Overall, despite all the positives, I felt that I had to give 4 stars because it is just too expensive. I cannot help thinking that the cost of a meal here can feed a family elsewhere for a month (or more).", "photos": [ "https://lh5.googleusercontent.com/p/AF1QipO-6TflfLgtGsMQX9VPvDpK3tU_JSDR5KxyDFUz=w450-h338-p-k-no", "https://lh5.googleusercontent.com/p/AF1QipPoVaPypk_rWYRBuuKr0l7Jnz2xtuEdaK_C-sV5=w450-h338-p-k-no", "https://lh5.googleusercontent.com/p/AF1QipPSQef4csntQqxxFwszeLu_nKOhUzfD3BWopqPJ=w450-h338-p-k-no", "https://lh5.googleusercontent.com/p/AF1QipNdJ02uN2XkeAwQpsfqBNYrhcRZlY9zBlZOc7dU=w450-h338-p-k-no" ] } ``` ### Usage To use this Actor, follow these steps: 1. **Set up your input**: Prepare a JSON object with the `startUrls` array containing the Google Maps location URLs you want to scrape reviews from, and optionally set the `maxReviewsPerUrl` value. 2. **Run the Actor**: You can run the Actor through the Apify Console, API, or using the Apify CLI. 3. **Retrieve the results**: Once the Actor has finished running, you can access the scraped review data in the "Dataset" tab of your Actor run, or via the Apify API. # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `maxReviewsPerUrl` (type: `integer`): Maximum number of reviews to scrape per URL. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.google.com/maps/place/Noma/@55.6828273,12.6079059,16z/data=!3m1!4b1!4m6!3m5!1s0x4652533b679080a5:0x42eaecc5eb37e114!8m2!3d55.6828273!4d12.6104808!16s%2Fm%2F02qsmm3!5m1!1e4?entry=ttu&g_ep=EgoyMDI0MTAyMC4xIKXMDSoASAFQAw%3D%3D" } ], "maxReviewsPerUrl": 60 } ``` # 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 = { "startUrls": [ { "url": "https://www.google.com/maps/place/Noma/@55.6828273,12.6079059,16z/data=!3m1!4b1!4m6!3m5!1s0x4652533b679080a5:0x42eaecc5eb37e114!8m2!3d55.6828273!4d12.6104808!16s%2Fm%2F02qsmm3!5m1!1e4?entry=ttu&g_ep=EgoyMDI0MTAyMC4xIKXMDSoASAFQAw%3D%3D" } ], "maxReviewsPerUrl": 60 }; // Run the Actor and wait for it to finish const run = await client.actor("louisdeconinck/google-maps-reviews-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 = { "startUrls": [{ "url": "https://www.google.com/maps/place/Noma/@55.6828273,12.6079059,16z/data=!3m1!4b1!4m6!3m5!1s0x4652533b679080a5:0x42eaecc5eb37e114!8m2!3d55.6828273!4d12.6104808!16s%2Fm%2F02qsmm3!5m1!1e4?entry=ttu&g_ep=EgoyMDI0MTAyMC4xIKXMDSoASAFQAw%3D%3D" }], "maxReviewsPerUrl": 60, } # Run the Actor and wait for it to finish run = client.actor("louisdeconinck/google-maps-reviews-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 '{ "startUrls": [ { "url": "https://www.google.com/maps/place/Noma/@55.6828273,12.6079059,16z/data=!3m1!4b1!4m6!3m5!1s0x4652533b679080a5:0x42eaecc5eb37e114!8m2!3d55.6828273!4d12.6104808!16s%2Fm%2F02qsmm3!5m1!1e4?entry=ttu&g_ep=EgoyMDI0MTAyMC4xIKXMDSoASAFQAw%3D%3D" } ], "maxReviewsPerUrl": 60 }' | apify call louisdeconinck/google-maps-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,louisdeconinck/google-maps-reviews-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 ` 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/thEbk6nzmhRsChwBS/builds/xwZEVcQLsAxvm6cQL/openapi.json