Google Maps Reviews Scraper

Google Maps reviews scraper for a link, place ID, CID, business name or a search like "coffee shops in Lisbon": star rating, the full text, the exact date, who wrote it, the owner's reply, photos and videos. It keeps paging rather than stopping at the first screen.

How deep a run reads depends on the place.

Input	Maps links, short links, place IDs, CIDs, business names or search phrases, up to 50 per run
Output	One row per review: stars, text, exact date, reviewer, owner reply, photos, ratings for food, service or rooms. Place details if you switch them on
Ceiling	50,000 reviews per run
Account needed	None, and no Google API key
Price	$0.27 per 1,000 reviews on the free plan, down to $0.264 on Business. The free plan's $5 a month covers about 18,000

Using an AI agent?
Actor	dami_studio/google-maps-reviews-scraper
Set one field	placeUrls, labelled "Place links or IDs" in the Console
Cap the bill	maxTotalChargeUsd on the run, for example 0.10: it never charges past that
MCP, one link	https://mcp.apify.com/?tools=fetch-actor-details,dami_studio/google-maps-reviews-scraper
How often	Weekly, or daily for a place you watch

🔍 What Google Maps Reviews Scraper does

It takes whatever form of a place you have: a copied address-bar URL, a maps.app.goo.gl short link, a ChIJ… place ID, a numeric CID, or the business name. With Places per search above 1, a phrase like "restaurants in Austin TX" gives up to 20 places in Google's order. Then it pages through each review list until it has what you asked for or Google stops.

Up to 50 places per run. A total budget is split evenly, so a chain audit gets a comparable sample from every branch; a per-place cap alone gets that many from each.

Place details are optional: the star average, address, categories, phone and website on every row, and opening hours and amenities in one free row per place.

📋 What data you get from each Google Maps review

What you get	Field
The place, as you named it and as Google knows it	target, placeName, placeUrl, placeId, cid, featureId
A stable id for the review, and its link	reviewId, reviewUrl
Stars and the text as written	rating, text, language, languageName
Google's translation, when the review is in another language	textTranslated, translationLanguage, translationLanguageName, originalText
Ratings for parts of the visit (food, service, rooms, location)	aspectRatings
Answers about the visit: meal type, price per person, trip type, noise, written tips	visitDetails
The exact time it went up, and Google's relative wording	publishedAt, relativeDate
Whether it was edited, and when	isEdited, editedAt
Who wrote it and how active they are on Maps	reviewerName, reviewerUrl, reviewerId, reviewerReviewsCount, reviewerPhotosCount, isLocalGuide
The owner's reply, roughly when, and Google's translation of it	ownerReply, ownerReplyRelativeDate, ownerReplyTranslated
Every photo link, and videos as a still plus a video link	reviewPhotosCount, reviewPhotoUrls, reviewVideos
Where the entry comes from, and the place's position in a search	reviewOrigin, searchRank
Place details, when switched on	placeRating, placeReviewsCount, placeAddress, placeStreet, placeCity, placePostalCode, placeState, placeCountryCode, placeNeighborhood, placeLatitude, placeLongitude, placeCategory, placeCategories, placePhone, placeWebsite, placePlusCode, placeKgmid, placeHotelStars, placeClosed, placeClaimed
Opening hours, amenities and highlights, in the place record	openingHours, amenities, highlights, timeZone
When the row was read	scrapedAt

▶️ How to scrape Google Maps reviews

1. Open Google Maps Reviews Scraper and click Try for free.
2. Paste one or more links into Place links or IDs, or type names or a phrase into Business names to look up.
3. Set Maximum reviews. Start around 20 to see the output shape.
4. Pick a Review order and a Language if the defaults do not suit you, then click Start.
5. Download the dataset as JSON, CSV or Excel, or read it from the Apify API.

💰 How much does it cost to scrape Google Maps reviews?

$0.27 per 1,000 reviews. That is the free plan's price; paid plans pay a little less: $0.268 on Starter, $0.266 on Scale and $0.264 on Business. On the free plan, the $5 Apify gives you each month covers about 18,000 reviews.

You pay per review row delivered. Reviews dropped by reviewsSince or onlyWithText, duplicates, entries from other sites, place records, the sample row and diagnostic rows are all free. The keyword, star and older-than filters are optional add-ons, billed from 9 November 2026: each review they read and leave out costs $0.01 per 1,000, the same on every plan. Before that day they are free.

📥 What you give it

{
  "searchTerms": ["coffee shops in Lisbon"],
  "maxPlacesPerSearch": 5,
  "maxReviewsPerPlace": 40,
  "sort": "newest",
  "reviewsSince": "6 months",
  "maxStars": 2,
  "includePlaceDetails": true,
  "language": "en"
}

Field	Default	What it is
placeUrls	none	Maps links, short links, place IDs or numeric CIDs. Up to 50. Paste the link exactly as the address bar gives it.
searchTerms	none	Business names or phrases, if you do not have links. Up to 50.
maxPlacesPerSearch	1	Places taken from each name or phrase, in Google's order, up to 20. 1 keeps the top match.
maxReviews	20	Total across every place in the run, split evenly between them. Up to 50,000.
maxReviewsPerPlace	none	Cap per place, on top of the even split. Set it with no total and it sets the total: 100 each for 10 places is 1,000.
sort	newest	newest, relevant, highest or lowest.
reviewsSince	none	Only reviews after this point.
reviewsBefore	none	Add-on. Only reviews before this point.
minStars, maxStars	none	Add-on. Only reviews with that many stars, 1 to 5.
keywords	none	Add-on. Only reviews whose text or translation contains one of these words. Capitals and accents don't matter; a word matches at the start of a word, so tea finds "teapot" but not "steak". A place with no match in 1,000 reviews in a row is not read further.
onlyWithText	off	Skip star-only ratings with no words.
includeReviewerDetails	on	Off leaves out the reviewer's name, link, photo and id.
includePlaceDetails	off	Place columns on every review row.
includePlaceRecord	off	One free place row per place, with hours and amenities.
language	en	Which language Google should translate into.
country	us	Which country's Google to ask.
proxyUrls	none	Optional. Your own servers, used exactly as given.

Dates. reviewsSince and reviewsBefore take a date like 2026-01-15 or a window like 36 hours, 30 days, 2 weeks, 6 months or 1 year. Anything else stops the run before a page is read, with a free BAD_INPUT row, instead of quietly pulling the full history.

reviewsSince stops paging early only when sort is newest. On any other order it still filters, but the run reads further. The star filters stop early on lowest and highest.

📤 What you get back

A real row from a test run on 24 October 2026, with the long text and links trimmed:

{
  "ok": true,
  "charged": true,
  "recordType": "review",
  "target": "Katz's Delicatessen New York",
  "placeName": "Katz's Delicatessen",
  "placeUrl": "https://www.google.com/maps?cid=3545819340560108778",
  "placeId": "ChIJCar0f49ZwokR6ozLV-dHNTE",
  "reviewId": "Ci9DQUlRQUNvZENodHljRjlvT2xOMWMybGhiekIyUWtoTlgwOWtUMUYwYmxad1FsRRAB",
  "rating": 5,
  "text": "Katz's has been open since 1888 and it shows in the best possible way. ...",
  "originalText": null,
  "language": "en",
  "publishedAt": "2026-06-11T19:27:42.022Z",
  "relativeDate": "4 months ago",
  "reviewerName": "mutoni F.",
  "reviewerReviewsCount": 4,
  "isLocalGuide": true,
  "ownerReply": null,
  "reviewPhotosCount": 4,
  "reviewPhotoUrls": ["https://lh3.googleusercontent.com/grass-cs/..."],
  "reviewOrigin": "Google",
  "aspectRatings": { "Food": 5, "Service": 5, "Atmosphere": 5 },
  "visitDetails": { "Meal type": "Brunch", "Price per person": "$30–40", "Wait time": "No wait" },
  "textTranslated": null,
  "languageName": "English",
  "isEdited": false,
  "reviewVideos": [],
  "searchRank": 1
}

Field	How to read it
publishedAt	A real timestamp. On an edited review it is the time of the edit, and isEdited is true.
reviewId	Stable. Use it as your dedupe key across runs.
text, textTranslated, originalText	text is the review as written. When the writer used another language than yours, textTranslated holds Google's translation and originalText repeats the writer's words; both are null otherwise.
aspectRatings, visitDetails	Only what the reviewer filled in, labelled in the language you asked for. null when they skipped it.
isEdited	Read from Google's wording in English, German, French, Spanish, Portuguese, Italian and Dutch; null in other languages.
isLocalGuide	The badge as true or false. Google's numeric level is not published here.
placeName	null when you gave a bare ID or CID and place details are off.
reviewVideos	Links only, as Google serves them; they can expire.

🧾 Reading the output

Four kinds of row can land in your dataset.

Row	How to spot it	Charged
A review	charged: true and a reviewId	yes
A place record	recordType: "place", only with Add one place record per place	no
The sample row	_sample: true	no
A diagnostic	_diagnostic: true and an errorCode	no

Filter on _sample and _diagnostic being absent, not on recordType alone. The free sample row also carries recordType: "review". Read charged: true as "this is a real row", not as a receipt.

Code	What it means
NO_PLACE_FOUND	That business name matched nothing. Use its link or place ID instead.
NO_REVIEWS	The place resolved but has no reviews, or none survived your filters.
BAD_INPUT	A date window or star range the run could not read. Nothing was fetched.
SHORTLINK_UNRESOLVED	A maps.app.goo.gl link would not expand. Open it once in a browser and paste the full URL.
PLACE_ID_UNRESOLVED	The ID did not resolve to a place.
SEARCH_ or REVIEWS_ plus a status, SEARCH_PARSE, REVIEWS_PARSE	A name lookup or a page of reviews came back unreadable. Re-run it.
TIME_BUDGET	The run ran out of time. Everything already delivered is complete. The run still ends as succeeded, with an amber status message, even when the time limit stopped it before any review came back.
PROXY_INPUT_ADJUSTED	A network setting in your input was not usable, so the run used its own.
NETWORK	Google was unreachable or answered badly. Re-run it.
UNEXPECTED_ERROR	The run stopped early on an unexpected error. The results before this row are kept.

One bad target never stops the others, and a diagnostic row never fails the run.

💡 What people use it for

• Watching what changed in a place's reviews since last month, on a schedule, using reviewsSince.
• Auditing every branch of a chain on the same terms, with a per-place cap so one busy site does not eat the budget.
• Pulling every 1 and 2 star review with maxStars at 2 to find the complaint that keeps repeating.
• Checking which reviews the owner replied to across a set of locations.

From a city search to a chain's complaints, in three steps:

1. Run Google Maps Scraper on a search like Starbucks in Seattle, WA and copy the placeUrl column.
2. Paste those links into placeUrls here with sort on newest, reviewsSince at 30 days and maxReviewsPerPlace at 50.
3. Keep the rows with a rating of 1 or 2 and group them by placeName to see which branch is slipping.

🚧 What it does not do

• Place details are off unless you switch them on, and there are no popular times.
• No like counts, visit dates or a time on the owner's reply. The reply comes with its relative wording only.
• Not the full history of every place. A run stops at 50,000 reviews or at its time limit.
• No reviews from other sites. Entries Google marks as coming from another site are left out.
• Sorting is Google's, applied before paging. Asking for 20 sorted highest gives you the 20 highest Google serves first, not a true sort of the whole history.
• Star-only ratings have no text, so text is null on those unless you switch on Skip star-only ratings.
• A name matching several places resolves to Google's top match, and a name with no city in it can land on the wrong branch. For a specific place, use its link or place ID.
• The row budget splits evenly between your places. A place with fewer reviews than its share returns fewer rows, and the leftover is not handed to the others.
• Rows are a snapshot. A review can be edited or deleted later, and scrapedAt records when it was read.
• It is not an official Google tool. Dami's Studio is independent and is not affiliated with or endorsed by Google, or by any other company named on this page.

🧭 Which Google Maps scraper do you need?

If you want	Use
Places from a search, with reviews optional	Google Maps Scraper
Reviews for a place you can link, name or search for, with exact dates	This one
The photos and videos on a place	Google Maps Place Photos Scraper
Only what changed in your own locations' reviews, on a schedule	Google Reviews Monitor
Businesses in Russia and the CIS, from Yandex Maps	Yandex Maps Scraper
Reviews of hotels, restaurants and attractions on Tripadvisor	Tripadvisor Reviews Scraper

❓ Questions people ask

Do I need a Google API key to scrape Google reviews?

No. Nothing to apply for, no account and no quota to manage.

Why did I get fewer reviews than I asked for?

Either the place does not have that many, or the budget was split across several places, or your filters left them out. You are charged for what arrived.

Can I monitor a place over time?

Yes. Schedule it with reviewsSince at something like 7 days and sort on newest, and each run reads only what is new. reviewId makes deduping across runs straightforward.

Can I call it from code or connect it to an AI assistant?

The API tab has code for Python, JavaScript and the CLI. MCP clients like Claude and ChatGPT use https://mcp.apify.com/?tools=fetch-actor-details,dami_studio/google-maps-reviews-scraper; coding assistants can load our skill file. All three bill your Apify account at the same price.

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("dami_studio/google-maps-reviews-scraper").call(
    run_input={
        "placeUrls": ["https://www.google.com/maps/place/Starbucks+Reserve+Roastery/data=!4m2!3m1!1s0x54906acdccf44db1:0x6da0c1f2d7a6736e"],
        "maxReviews": 50,
    },
    max_total_charge_usd=0.10,  # the most this run may spend
)
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    if row.get("ok") is False:  # free note rows, not results
        continue
    print(row.get("rating"), (row.get("text") or "")[:80])

Is scraping Google reviews legal?

These are public reviews on public place pages. They contain personal data all the same, which GDPR and similar laws cover, so have a reason for collecting it. Apify's write-up on the legality of web scraping is a good starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the place link and the run ID. The errorCode on the diagnostic row usually names the problem on its own.