Pricing

Pay per usage

Google Maps Review Scraper

Scrape Google Maps reviews for any place by CID or Maps URL — no fixed store list required. Each review (reviewer, rating, text, date, owner reply) is pushed as a clean dataset row, ready for ETL, sentiment analysis, or reporting pipelines.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Touma

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Input

field	required	notes
`targets`	one of `targets`/`targetsCsv`	JSON array of `{name, cid, mapsUrl}` -- only `cid` or `mapsUrl` is required per item
`targetsCsv`	one of `targets`/`targetsCsv`	CSV text, columns `name,cid,mapsUrl`
`month`	no	1-12. Omit for ALL reviews, any date.
`year`	no	paired with `month`; defaults to 2026 if `month` is set and this isn't
`maxReviewsPerPlace`	no	cap per place; omit for no cap
`workers`	no	concurrency, default 6
`limit`	no	only process the first N targets (testing)

Example run -- specific month, one place

{
  "targets": [
    {"name": "Bata Shoe Store - Esplanade, Kolkata", "cid": "1886281027832551729"}
  ],
  "month": 7,
  "year": 2026
}

Example run -- ALL reviews (no date filter), multiple places by URL

{
  "targets": [
    {"name": "Store A", "mapsUrl": "https://www.google.com/maps/place/.../@..."},
    {"name": "Store B", "cid": "5850262627799758060"}
  ],
  "workers": 8
}

Example run -- bulk via CSV

{
  "targetsCsv": "name,cid,mapsUrl\nStore A,1886281027832551729,\nStore B,,https://www.google.com/maps/place/...",
  "month": 7,
  "year": 2026,
  "workers": 10
}

Output

Each row pushed to the actor's default dataset is one review: name, cid, mapsUrl (from the input target) plus the review fields -- review_id, reviewer_name, rating, review_text, review_date_iso, owner_reply_text, etc. (see botguard_lib.parse_review for the full field list). Pull it from the dataset via the Apify API/export the same way any other actor's output is consumed.

Notes

Occasional per-place failures are retried automatically (up to 3 attempts) before being logged.
workers above ~8-10 increases the chance of rate limiting -- start conservative and raise it once you've confirmed a run stays stable.

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