| 📝 Review text | 📅 Published date |
| 🌟 Stars | 🆔 Review ID & URL |
| ✅ Response from the owner - text | 📷 List of review images |
| 💬 Review context | 📊 Detailed rating per service |
| 🧛 Reviewer’s name | ✍️ Reviewer’s number of reviews |
| 🖼 Reviewer’s ID, URL & photo | 👋 Local guide status |
**⚠️ Note about review sorting**
Currently, when sorting reviews by date using the filter in the input section, you can only select the “Newest” toggle. If you filter by date with any other option, it will stop scraping and not get you the desired number of reviews.
Note that you can use the other filters, too, you just can’t add a date as well.
### ⬆️ Output
The results will be wrapped into a dataset which you can find in the **Output** or **Storage** tab. Note that the output is organized in tables and tabs for viewing convenience. You can view results as a table, JSON, or as a map.
Once the run is finished, you can also download the dataset in various data formats (JSON, CSV, Excel, XML, HTML). Before exporting, you can pick or omit specific output fields; alternatively, you can also choose to download the whole view, which includes thematically connected data.
Here is that same output, but in JSON:
```json
[
{
"searchString": "Direct Detail URL: https://www.google.com/maps/place/Yellowstone+National+Park/@44.5857951,-110.5140571,9z/data=!3m1!4b1!4m5!3m4!1s0x5351e55555555555:0xaca8f930348fe1bb!8m2!3d44.427963!4d-110.588455?hl=en-GB",
"reviewerId": "110758759962531004425",
"reviewerUrl": "https://www.google.com/maps/contrib/110758759962531004425?hl=en",
"name": "TALENTO HUMANO",
"reviewerNumberOfReviews": 9,
"isLocalGuide": true,
"reviewerPhotoUrl": "https://lh3.googleusercontent.com/a-/ALV-UjVbmu2ztjD2GS6oJgYz7IeXqeEfrKSZVCsPchMH6KZNjbFhMCAC=s1920-c-rp-mo-ba2-br100",
"text": "Genial",
"textTranslated": "Brilliant",
"publishAt": "51 minutes ago",
"publishedAtDate": "2025-09-05T04:56:59.605Z",
"likesCount": 0,
"reviewId": "Ci9DQUlRQUNvZENodHljRjlvT210Tk1YbHRYME5sVm1Kb01rMXRkamR1WWpkMVJGRRAB",
"reviewUrl": "https://www.google.com/maps/reviews/data=!4m8!14m7!1m6!2m5!1sCi9DQUlRQUNvZENodHljRjlvT210Tk1YbHRYME5sVm1Kb01rMXRkamR1WWpkMVJGRRAB!2m1!1s0x0:0xaca8f930348fe1bb!3m1!1s2@1:CAIQACodChtycF9oOmtNMXltX0NlVmJoMk1tdjduYjd1RFE%7C0ciaqQZ51Z3%7C?hl=en",
"reviewOrigin": "Google",
"stars": 5,
"rating": null,
"responseFromOwnerDate": null,
"responseFromOwnerText": null,
"reviewImageUrls": [],
"reviewContext": {},
"reviewDetailedRating": {},
"visitedIn": null,
"originalLanguage": "es",
"translatedLanguage": "en",
"isAdvertisement": false,
"placeId": "ChIJVVVVVVXlUVMRu-GPNDD5qKw",
"location": {
"lat": 44.5979182,
"lng": -110.561249
},
"address": null,
"neighborhood": null,
"street": null,
"city": null,
"postalCode": null,
"state": null,
"countryCode": "US",
"categoryName": "National park",
"categories": ["National park", "Park", "Tourist attraction"],
"title": "Yellowstone National Park",
"totalScore": 4.8,
"permanentlyClosed": false,
"temporarilyClosed": false,
"reviewsCount": 44015,
"url": "https://www.google.com/maps/search/?api=1&query=Yellowstone%20National%20Park&query_place_id=ChIJVVVVVVXlUVMRu-GPNDD5qKw",
"price": null,
"cid": "12441467956046586299",
"fid": "0x5351e55555555555:0xaca8f930348fe1bb",
"imageUrl": "https://lh3.googleusercontent.com/gps-cs-s/AC9h4noYbxeSEZJ1izqDuib3YDFUF6QopkyqnAy129aj5qN-E_zsoyvfGGpNs8kI_1-cyTL4bh46CluyhlcTakDWRoZWMXgCsVhC5bLgVNz5F0PZBm-hTf60oNhBQ0IxmWefORmMABp-mA=w408-h306-k-no",
"scrapedAt": "2025-09-05T05:48:36.726Z",
"language": "en"
},
{
"searchString": "Direct Detail URL: https://www.google.com/maps/place/Yellowstone+National+Park/@44.5857951,-110.5140571,9z/data=!3m1!4b1!4m5!3m4!1s0x5351e55555555555:0xaca8f930348fe1bb!8m2!3d44.427963!4d-110.588455?hl=en-GB",
"reviewerId": "115065663021476206763",
"reviewerUrl": "https://www.google.com/maps/contrib/115065663021476206763?hl=en",
"name": "Catie Juday",
"reviewerNumberOfReviews": 83,
"isLocalGuide": true,
"reviewerPhotoUrl": "https://lh3.googleusercontent.com/a-/ALV-UjUhKp4F_x843k5HwpgHrmP2ff5RNqcskpUoN87ZFWG-ioe4l2bc=s1920-c-rp-mo-ba5-br100",
"text": "Magical place with tons of wild animals and wild places. A must see. Amazing experience for all families. I would highly recommend going atleast once in your life",
"textTranslated": null,
"publishAt": "2 hours ago",
"publishedAtDate": "2025-09-05T03:27:47.401Z",
"likesCount": 0,
"reviewId": "Ci9DQUlRQUNvZENodHljRjlvT2t4T09YQm5aMWRpZUMxb1YwcE9XRk40YVZOSFJVRRAB",
"reviewUrl": "https://www.google.com/maps/reviews/data=!4m8!14m7!1m6!2m5!1sCi9DQUlRQUNvZENodHljRjlvT2t4T09YQm5aMWRpZUMxb1YwcE9XRk40YVZOSFJVRRAB!2m1!1s0x0:0xaca8f930348fe1bb!3m1!1s2@1:CAIQACodChtycF9oOkxOOXBnZ1dieC1oV0pOWFN4aVNHRUE%7C0ci_XnMwW1q%7C?hl=en",
"reviewOrigin": "Google",
"stars": 5,
"rating": null,
"responseFromOwnerDate": null,
"responseFromOwnerText": null,
"reviewImageUrls": [
"https://lh3.googleusercontent.com/geougc-cs/AB3l90DkvB5LfMjrTtuuhRkolmDnFxbwOubZtH5bMEG1Tq2EYCqHBAPBnp1XwO9Ts55QiY8rwJWFDuXy_owCM7lua-ui07NwrJbhzxgqbua8nqYlxtYIJeFGjRb-QYvRhneYhqDsOrUKij7BSH-D",
"https://lh3.googleusercontent.com/geougc-cs/AB3l90BeZuHwtZX4QZ6mRZWdYRk6OZUWaJ9rPKh16StCbho5f9CkIaiUBYBMH-NJ4ahjmC49hE2EfCo0Up_G6YBd1Kf1a8TX6Y0Wuak6vXjXOcvSvd8c3NPeJKhvZTe9dPal0N9wl_sjoOXwX6rx",
"https://lh3.googleusercontent.com/geougc-cs/AB3l90Cwo1xpEbvHe3Jw-doP-N135qWjIuPR62FIeFN9buuf4xTCSMUwo6FrlqxvxyJ7l7A-IPpue9GZCSQ82_26S8KQUcTpUDXgm-22i2crDxAVYGCnOi1qPacidCdpJqSJBuVYVrgKzgOR0oI",
"https://lh3.googleusercontent.com/geougc-cs/AB3l90B6fFRRMymbQkkbrWhUXFizewG4mnDwc1aBm3ap0Kvf74QLI5z1JdscxoPwtwZ1BZ-1VMAQ9-poZcUZMsC_ZR7YnT9XES3sssq3oa2XICQMasbxnJtxtrVnheXum1-WCo6aosD0E48U8HqO",
"https://lh3.googleusercontent.com/geougc-cs/AB3l90Bjcm--kwLsK66lOrD5rxEA2OKULCBhTzUX15aM_UCulvLvWK-ysCmLs0MDkipbmO2mhGz3mFwuwDnnwjJJ2f_-K6tE-CN-4WE1te0kIppjwr2LMK9qdfYtfFEb9CTgRlRy3k5MkYg9SPbx"
],
"reviewContext": {},
"reviewDetailedRating": {},
"visitedIn": null,
"originalLanguage": "en",
"translatedLanguage": null,
"isAdvertisement": false,
"placeId": "ChIJVVVVVVXlUVMRu-GPNDD5qKw",
"location": {
"lat": 44.5979182,
"lng": -110.561249
},
"address": null,
"neighborhood": null,
"street": null,
"city": null,
"postalCode": null,
"state": null,
"countryCode": "US",
"categoryName": "National park",
"categories": ["National park", "Park", "Tourist attraction"],
"title": "Yellowstone National Park",
"totalScore": 4.8,
"permanentlyClosed": false,
"temporarilyClosed": false,
"reviewsCount": 44015,
"url": "https://www.google.com/maps/search/?api=1&query=Yellowstone%20National%20Park&query_place_id=ChIJVVVVVVXlUVMRu-GPNDD5qKw",
"price": null,
"cid": "12441467956046586299",
"fid": "0x5351e55555555555:0xaca8f930348fe1bb",
"imageUrl": "https://lh3.googleusercontent.com/gps-cs-s/AC9h4noYbxeSEZJ1izqDuib3YDFUF6QopkyqnAy129aj5qN-E_zsoyvfGGpNs8kI_1-cyTL4bh46CluyhlcTakDWRoZWMXgCsVhC5bLgVNz5F0PZBm-hTf60oNhBQ0IxmWefORmMABp-mA=w408-h306-k-no",
"scrapedAt": "2025-09-05T05:48:36.726Z",
"language": "en"
}
]
```
### How many results can you scrape with Google Maps Reviews scraper?
Google Maps Reviews Scraper can return thousands of results. However, you have to keep in mind that scraping maps.google.com has many variables to it and may cause the results to fluctuate case by case. There’s no one-size-fits-all-use-cases number. The maximum number of results may vary depending on the complexity of the input, location, and other factors. Some of the most frequent cases are:
- Website gives a different number of results depending on the type/value of the input
- Website has an internal limit that no scraper can cross
- Scraper has a limit that we are working on improving
Therefore, while we regularly run Actor tests to keep the benchmarks in check, the results may also fluctuate without our knowing. The best way to know for sure for your particular use case is to do a test run yourself.
### How much does scraping Google Maps Reviews cost?
Google Maps Reviews scraper uses a **pay-per-event pricing model**, where you're charged based on specific actions taken during scraping. This provides transparent, predictable pricing based on actual usage. For more information about the exact prices and events check the [pricing tab](https://apify.com/compass/google-maps-reviews-scraper/pricing).
With the [Apify Free plan](https://apify.com/pricing), you get $5 free usage credits every month.
If you need regular data extraction, we recommend the $29/month Starter plan, which lets you **scrape 58,000 Google reviews every month.**
### Frequently asked questions
#### Why scrape reviews from Google Maps?
So what can you do with the Google Maps data you collect by web scraping? Here are just some ideas:
- **Customer sentiment analysis**: Identify what people like or dislike about a business, brand, or location
- **Competitor analysis**: Compare competitors’ strengths and weaknesses
- **Market research**: Discover customer expectations, trends, and needs in specific industries or locations
- **Lead generation**: Find potential business opportunities
- **Reputation management**: Monitor and respond to reviews
- **Product improvement**: Use feedback to identify recurring issues or areas for improvement
- **Content generation**: Extract authentic customer quotes or testimonials for marketing materials
- **Brand monitoring**: Track mentions of a specific brand across different locations
- **Location performance tracking**: Compare performance across multiple branches or franchise locations
#### What are the limits of scraping reviews from Google Maps?
We recommend using the “number of reviews” field to limit the number of reviews to scrape. We recommend setting this to 1,000 (or fewer) reviews to limit resource consumption. Google tends to push reviews with text and pictures to the top so they are usually among the first ones to be scraped.
#### Need to do sentiment analysis using Google reviews?
You can combine the powers of this review scraping tool with [AI Text Analyzer for Google Reviews](https://apify.com/geneea-analytics/reviews-text-nlp-analyzer). This text analyzer tool allows to identify the most commonly used keywords in each review. See how we did it for [500 disappointing reviews on Google Maps](https://blog.apify.com/text-analyzer-tool-google-reviews/).
#### Can I integrate Google Maps Reviews Scraper with other apps?
Yes. Google Maps Reviews Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, [and more](https://docs.apify.com/integrations). Or you can use [webhooks](https://docs.apify.com/integrations/webhooks) to carry out an action whenever an event occurs, e.g. get a notification whenever Google Maps Reviews Scraper successfully finishes a run.
#### Can I use Google Maps Reviews Scraper with the API?
Yes, using Apify API which will give you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify actors. The API also lets you access any datasets, monitor actor performance, fetch results, create and update versions, and more.
To access the API using Node.js, use the `apify-client` [NPM package](https://apify.com/compass/google-maps-reviews-scraper/api/javascript). To access the API using Python, use the `apify-client` [PyPI package](https://apify.com/compass/google-maps-reviews-scraper/api/python).
Check out the [Apify API reference](https://docs.apify.com/api/v2) docs for full details or click on the [API tab](https://apify.com/compass/Google-Maps-Reviews-Scraper/api) for code examples.
#### Can I use Google Maps Review Scraper through an MCP Server?
With Apify API, you can use almost any Actor in conjunction with an MCP server. You can connect to the MCP server using clients like ClaudeDesktop and LibreChat, or even build your own. Read all about how you can [set up Apify Actors with MCP](https://blog.apify.com/how-to-use-mcp/).
For Google Maps Review Scraper, go to the [MCP tab](https://apify.com/compass/google-maps-reviews-scraper/api/mcp) and then go through the following steps:
1. Start a Server-Sent Events (SSE) session to receive a `sessionId`
2. Send API messages using that `sessionId` to trigger the scraper
3. The message starts the Google Maps Review Scraper with the provided input
4. The response should be: `Accepted`
#### Your feedback
We’re always working on improving the performance of our Actors. So if you’ve got any technical feedback for Google Maps Reviews Scraper or simply found a bug, please create an issue on the Actor’s [Issues tab](https://apify.com/compass/google-maps-reviews-scraper/issues/open) in Apify Console.
# Actor input Schema
## `startUrls` (type: `array`):
List of URLs to be crawled. They can be search URLs, place URLs or review detail URLs. Valid Google Maps place URLs must contain one of the following subpaths: /maps/search, /maps/place or /maps/reviews. This feature also supports uncommon URL formats such as: google.com/maps?cid=\*\*\*.
## `placeIds` (type: `array`):
List of place IDs. You can add place IDs one by one or upload a list using the Bulk edit option.
## `maxReviews` (type: `integer`):
Max number of reviews per place to scrape. If you want to scrape all reviews, remove the prefilled value.
## `reviewsSort` (type: `string`):
Define how reviews should be sorted.
## `reviewsStartDate` (type: `string`):
Either absolute date (e.g. `2024-05-03`) or relative date from now into the past (e.g. `8 days`, `3 months`). JSON input also supports adding time in both absolute (ISO standard, e.g. `2024-05-03T20:00:00`) and relative (e.g. `3 hours`) formats. Absolute time is always interpreted in the UTC timezone, not your local timezone - please convert accordingly. Supported relative date & time units: `minutes`, `hours`, `days`, `weeks`, `months`, `years`. reviewId) is always included regardless of this setting.