Maps Review Scraper

Read Maps reviews as a market-wide corpus. From Maps review or listing URLs, each record keeps its source context alongside review identifiers, ratings, text, author names, and relative date.

The record

The dataset schema names every field before the run. The first working set is rating, text, authorName, authorUrl, avatarUrl, relativeDate, publishedAtMs, reviewId, reviewDataUrl, placeName, category, and address. Dataset views keep related fields together without changing the underlying row.

Captured row

{
  "cid": "0x47e66e4f52148269:0xc26d9bf3451087c",
  "placeId": "ChIJaYIUUk9u5kcRfAhRNL_ZJgw",
  "placeRating": 4.7,
  "rating": 5
}

Input

Maps Review Scraper accepts source URLs. Run controls stay in the same form.

Field	What it controls	Starting value
startUrls	Paste exact Maps URLs, one per line.	["https://www.google.com/maps/place/?q=place_id:ChIJaYIUUk9u5kcRfAhRNL_ZJgw","https://www.google.com/maps/place/?q=place_id:ChIJu0Sg-TBu5kcRUIDfQSE4_yw","https://www.google.com/maps/place/?q=place_id:ChIJwxT3mL5v5kcRAsTd3v0lJOY"]
maxItems	Stop after this many dataset rows.	20
maxReviewsPerPlace	Set the review ceiling for each place.	20
maxSeconds	Stop after this many seconds and keep completed rows.	180

Example input

{
  "startUrls": [
    "https://www.google.com/maps/place/?q=place_id:ChIJaYIUUk9u5kcRfAhRNL_ZJgw",
    "https://www.google.com/maps/place/?q=place_id:ChIJu0Sg-TBu5kcRUIDfQSE4_yw",
    "https://www.google.com/maps/place/?q=place_id:ChIJwxT3mL5v5kcRAsTd3v0lJOY"
  ],
  "maxItems": 3,
  "maxReviewsPerPlace": 20,
  "maxSeconds": 180
}

Price

$0.00001 per dataset item. Other Apify plans use the rates shown in the Pricing tab.

Console, API, schedules, and exports

Runs can begin in Apify Console, from a saved task, or through the Actor API. A schedule can reuse the same input. Completed rows remain in the run dataset for API retrieval and Apify dataset exports.

POST https://api.apify.com/v2/acts/bf7Ohk0s70rEcIhWS/runs
GET  https://api.apify.com/v2/datasets/{datasetId}/items

Saved tasks

Twenty task pages cover distinct research, comparison, operations, automation, and export jobs. The opening set is:

• Maps review thread sample: Review one Maps record around rating, text, authorName, and authorUrl. The saved task uses startUrls, maxItems, and maxReviewsPerPlace and opens the overview view. Configured in Maps Review Scraper.
• Maps review response comparison: Compare Maps reviews using rating, placeRating, text, and authorName. The stats view keeps the differences close together. Configured in Maps Review Scraper.
• Maps review source list: Process a saved Maps input queue with startUrls, maxItems, and maxReviewsPerPlace. Source and identifier fields remain visible in the identity view. Configured in Maps Review Scraper.
• Maps review author index: Index Maps reviews by rating, text, authorName, and authorUrl. The saved input keeps the same matching fields from run to run. Configured in Maps Review Scraper.
• Maps review response register: Assemble a focused Maps register centered on rating, text, authorName, and authorUrl. The task keeps startUrls, maxItems, and maxReviewsPerPlace visible for later review. Configured in Maps Review Scraper.
• Maps review engagement benchmark: Compare numeric and status fields across Maps reviews, led by rating, placeRating, placeId, and cid. Results open as the place table. Configured in Maps Review Scraper.

Related products

• Maps Place Data Scraper
• Shopify Rating Scraper
• AliExpress Rating Scraper
• Amazon Rating Scraper
• Google Maps Review Scraper

Support

Include the Actor ID, run ID, saved task name, and affected input when reporting an issue. That is enough to locate the run and its dataset.