Google Maps Reviews Scraper

What does Google Maps Reviews Scraper do?

Google Maps Reviews Scraper downloads the reviews of any place on Google Maps: restaurants, hotels, shops, attractions, clinics, any business. Give it a Google Maps link, a place ID or just a search such as The Savoy London, and it returns one row per review with the star rating, text (with Google's translation), exact publish date, likes, the owner's response, the reviewer's name and Local Guide status, photos, plus the place's overall rating and total review count on every row (the count is sometimes empty, when Google leaves it out).

It needs no Google account, no login and no API key, and it reads up to thousands of reviews per place, newest first or in any order Google Maps offers. Running it on Apify gives you API access, scheduling, integrations (Google Sheets, Slack, Zapier, Make, webhooks), proxy rotation and run monitoring.

Why use Google Maps Reviews Scraper?

• Reputation monitoring: track new reviews of your own locations every day and answer unhappy customers fast.
• Competitor research: compare ratings, complaints and praise across competing restaurants, hotels or stores.
• Sentiment and topic analysis: feed review text (translated into one language) into your analytics or AI pipeline.
• Market research and lead qualification: see how busy and well-rated businesses in an area are.
• Owner-response audits: check which reviews got an answer and how quickly.

How to scrape Google Maps reviews

1. Open the Actor and go to the Input tab.
2. In Places, paste one place per line: a Google Maps link, a place ID, or a search such as Dishoom Covent Garden.
3. Set Max reviews per place and the sort order (newest first by default).
4. Click Start and wait a few seconds: 100 reviews of a place take about 10-15 seconds including start-up.
5. Download the reviews from the Output tab as JSON, CSV, Excel or HTML, or read them through the API.

Input

Everything is set in the Input tab. Only Places is required.

Field	Default	What it does
places	(required)	One place per line. Accepted: Google Maps place links (/maps/place/..., with or without https://), share links (https://maps.app.goo.gl/...), links with ?cid=, ftid= or query_place_id=, Maps search links (/maps/search/..., which take the first place shown), place IDs (ChIJ...), feature IDs (0x...:0x...), and plain searches (The Savoy London). API callers can also send {"url": "..."} objects.
max_reviews_per_place	100	Stops after this many reviews per place.
sort	newest	newest, most_relevant, highest_rating or lowest_rating — the orders Google Maps offers.
language	en	Language code (en, de, fr, pt-BR...). Google translates reviews written in other languages into it, as Google Maps does, and names the place in it.
include_original_text	false	Adds text_original, the review as its author wrote it, to reviews Google translated.
proxyConfiguration	none	Leave empty: the Actor picks the cheapest connection Google answers.

A search takes the first place Google Maps shows for it, so include the city (Café de Flore Paris, not Café de Flore). A Maps search link (/maps/search/pizza/@41.9,12.49,15z) or a place link without a place ID (/maps/place/Starbucks/@51.51,-0.13,17z) is searched in the map area the link shows, as Google Maps does.

{
  "places": [
    "https://www.google.com/maps/place/Eiffel+Tower/data=!4m2!3m1!1s0x47e66e2964e34e2d:0x8ddca9ee380ef7e0",
    "ChIJxZXYx7cEdkgRdgAOZ6OHOJw",
    "Café de Flore Paris"
  ],
  "max_reviews_per_place": 200,
  "sort": "newest",
  "language": "en",
  "include_original_text": true
}

Output

One row per review. A real row from Café de Flore in Paris (the reviewer's name and ID are masked here, long texts shortened; with include_original_text on, a text_original field holds the author's Greek original):

{
  "review_id": "Ci9DQUlRQUNvZENodHljRjlvT201bFVYWkdkbWxtUWs1UkxYVTFWRGhTUTBNeWJrRRAB",
  "review_url": "https://www.google.com/maps/reviews/data=!4m8!14m7!1m6!2m5!1sCi9DQUlRQUNvZENodHljRjlvT201bFVYWkdkbWxtUWs1UkxYVTFWRGhTUTBNeWJrRRAB!2m1!1s0x0:0x18bba6dd45e173ff...",
  "rating": 3,
  "text": "From the outside when you walk by and see it, it's actually a pretty cute shop. There's a bit of a wait in line, but they serve you quickly. We chose 2 savory options that were not edible. Very expensive for no reason and the shop inside is quite uninteresting.",
  "original_language": "el",
  "is_translated": true,
  "published_at": "2026-10-04T14:55:08+00:00",
  "is_edited": false,
  "likes_count": 0,
  "owner_response_text": "Thank you for taking the time to share your impressions following your visit. ...",
  "owner_response_ago": "4 days ago",
  "owner_response_date": "2026-10-06",
  "reviewer_name": "Traveltales G.",
  "reviewer_id": "1094288580745786473xx",
  "reviewer_url": "https://www.google.com/maps/contrib/1094288580745786473xx",
  "reviewer_reviews_count": 154,
  "reviewer_photos_count": 1048,
  "reviewer_is_local_guide": true,
  "photos_count": 6,
  "photo_urls": ["https://lh3.googleusercontent.com/grass-cs/AABkmLdPVI1-ZV1w...=k-no"],
  "details": {
    "Meal type": "Lunch",
    "Price per person": "€30–40",
    "Food": 3,
    "Service": 3,
    "Atmosphere": 3,
    "Seating type": "Indoor dining area, Outdoor patio / terrace"
  },
  "place_name": "Café de Flore",
  "place_id": "ChIJq537gddx5kcR_3PhRd2muxg",
  "place_url": "https://www.google.com/maps/place/?q=place_id:ChIJq537gddx5kcR_3PhRd2muxg",
  "place_address": "Café de Flore, 172 Bd Saint-Germain, 75006 Paris, France",
  "place_rating": 3.9,
  "place_reviews_count": 14541,
  "input": "Café de Flore Paris",
  "scraped_at": "2026-10-10T14:22:45+00:00"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Type	Description
review_id	string	Google's ID of the review; each review is saved once per run.
review_url	string	Link that opens the review on Google Maps.
rating	number	Stars, 1 to 5.
text	string or null	The review text in the chosen language (Google's translation when it was written in another language). Null for star-only reviews.
original_language	string or null	Language code the review was written in (null for star-only reviews).
is_translated	boolean	Whether text is Google's translation.
text_original	string or null	Only with include_original_text: the author's own words when text is a translation, otherwise null.
published_at	string	Exact publish time, or last edit time for edited reviews; ISO 8601 in UTC (from Google's own timestamp).
is_edited	boolean or null	Whether Google marks the review as edited ("Edited 2 days ago"), so published_at is the edit time. Read from Google's English wording, so null when language is not English.
likes_count	number	How many people reacted to the review (likes and Google's other reactions).
owner_response_text	string or null	The business owner's response.
owner_response_ago	string or null	When the owner responded, as Google words it (4 days ago), in the chosen language.
owner_response_date	string or null	Approximate response date (YYYY-MM-DD): Google only gives the relative age, so it is counted back from the run date (a month as 30 days, a year as 365). Null when language is not English.
reviewer_name	string	The reviewer's public Google name.
reviewer_id, reviewer_url	string	The reviewer's public Google Maps contributor ID and profile link.
reviewer_reviews_count, reviewer_photos_count	number	How many reviews and photos the reviewer has posted on Google Maps.
reviewer_is_local_guide	boolean	Whether the reviewer is a Google Local Guide.
photos_count, photo_urls	number, list	Photos attached to the review.
details	object or null	The reviewer's answers to Google's follow-up questions, such as meal type, price per person, or 1-5 scores for food, service, atmosphere or rooms.
place_name, place_id, place_url, place_address	string	The place the review belongs to.
place_rating	number	The place's overall Google rating.
place_reviews_count	number or null	The place's total number of Google reviews. Google leaves it out of many replies at random; the Actor asks up to eight times, but it is sometimes empty.
input	string	The places entry the row came from.
scraped_at	string	When the row was saved (UTC).

How much does it cost to scrape Google Maps reviews?

You pay per review saved; see the Pricing tab for the exact price. Places that fail or have no reviews cost nothing. The Actor runs over plain HTTP with 512 MB of memory, so platform usage is tiny: our test run of 3,000 reviews from six places took 45 seconds and used $0.015 of platform resources (about $0.005 per 1,000 reviews). Apify's free plan credits cover many thousands of reviews a month.

Tips and advanced options

• Newest first is the default and the best choice for monitoring: schedule the Actor daily with a small max_reviews_per_place to collect only fresh reviews.
• For a representative sample, use most_relevant; to find complaints fast, use lowest_rating.
• In the rating orders (highest_rating, lowest_rating) Google lists only part of a place's reviews (194 of 466 in one test). The run's log and status message say when the list ended before your limit (when Google gave no review count, it may simply be every review there is); use newest to get them all.
• Paste the share link or the place page link when a search could match several places.
• Set language to your analysis language to get every review translated by Google; turn on include_original_text if you also need the author's words.
• Several places run in parallel; a run with 10 places of 100 reviews each finishes in well under a minute.

FAQ, disclaimers and support

Do I need a Google account or API key? No. The Actor reads the same public review lists Google shows on the web, without signing in.

How many reviews can I get? As many as Google lists for the place; the Actor reads them in pages of up to 50 until it reaches your limit or the last review. Sorted newest or most_relevant, Google lists every review; sorted by rating, it lists only part of them.

What happens with links that don't work? Inputs that are not places, places Google doesn't know, places without reviews and dropped-pin links (coordinates) save nothing and cost nothing. They are listed with the reason in the FAILED_INPUTS record of the run's key-value store, and the run's status message sums them up.

Is it legal to scrape Google Maps reviews? The Actor only reads publicly visible reviews. Whether you may use them depends on your purpose and your country's laws, and on Google's terms. If unsure, consult a lawyer.

What about personal data and GDPR? Reviews contain personal data: the reviewer's public name, profile ID and link, and whatever they wrote. Under the GDPR and similar laws you need a legitimate reason to collect and keep it. Collect only what you need (drop the reviewer fields if you only analyse text), keep it no longer than necessary, protect it, and honour removal requests. Do not use it to contact or profile individuals without a legal basis.

Known limitations: owner-response dates are approximate (Google only says "4 days ago"); place_reviews_count is sometimes empty; directions links (/maps/dir/) are not read, give one place per line instead; the rating orders list only part of the reviews (see Tips); hotel reviews from partner sites (Tripadvisor, booking sites) are not included, only Google reviews.

Found a bug or need a feature? Open an issue on the Issues tab and we'll look at it quickly. Need a custom solution, such as a combined places-and-reviews pipeline? Ask there too.