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Collectors · Local & Maps

Google reviews scraper API in Python

Google reviews of one place — rating, date, text, author, owner reply. One POST from Python with the input, rows back as JSON with 20 fields, $0.001 per delivered review. No proxies or parsers to maintain.

A Python requests snippet that posts data_id and sort_by to the place_reviews collector, a line-drawn page titled Place reviews, and a white card with the fields rating, date, text, author and place_name, at $0.001 per review ($1.00 per 1,000).
A Python requests call to the place_reviews collector returns one dict per review, at $0.001 each.

First call

Install, call, read the rows.

pip install requests
The only dependency.
import os, requests

r = requests.post(
    "https://api.quanticdata.io/v1/scraper/collectors/place_reviews/run",
    headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
    json={
        "data_id": "0x89c25a4634938a45:0x229fa22c7b1623b9",
        "sort_by": "newest",
        "max_results": 20,
    },
    timeout=120,
)
r.raise_for_status()
run = r.json()["payload"]
print(run["count"], "rows,", run["cost"]["usd"], "USD")
for row in run["results"]:
    print(row.get("review_id"), row.get("rating"), row.get("date"), row.get("iso_date"))
Python: one Place reviews run (By data_id), printing review_id, rating, date, iso_date

The key comes from an environment variable, never from the code. The run answers in the same request when it finishes in time; payload.results holds the rows and payload.cost what they cost.

Request parameters

What the collector takes.

Input of the Place reviews collector
ParameterTypeRequiredMeaning
data_idstringnoFeature id "0x…:0x…" from Google Maps places (preferred).
place_idstringnoGoogle place id (ChIJ…), alternative to data_id.
querystringnoAlternative to ids: business name, resolved to the first place found.
locationstringnoWhere to look the name up (with query).
sort_bystring: relevance, newest, highest_rating, lowest_ratingno (default relevance)Review ordering.
countrystringnoISO 3166-1 alpha-2 code — proxy exit geo and Google locale (gl). Omit for the default pool.
langstringnoInterface language (hl), e.g. en, it, de.
max_resultsintegerno (default 20)How many reviews to deliver at most (1–100). You pay only for delivered reviews.

Response fields

20 fields per review.

Fields of each row (review)
FieldTypeWhat it holds
rankinteger1-based position.
review_idstring, nullableGoogle's review id.
ratingnumber, nullableStars (1–5).
datestring, nullableRelative date as shown ("2 months ago").
iso_datestring, nullableISO 8601 timestamp when exposed.
textstring, nullableReview body.
authorstring, nullableReviewer display name.
author_urlstring, nullableReviewer's Maps contributor page.
author_thumbnailstring, nullableReviewer photo URL.
linkstring, nullableDirect link to the review.
sourcestring, nullableReview source (Google, Tripadvisor…).
imagesstring[]Photos attached to the review.
owner_response_datestring, nullableOwner reply date.
owner_response_textstring, nullableOwner reply text.
data_idstringThe place's data_id the review belongs to.
place_namestring, nullablePlace name when resolved from query.
author_idstring, nullableReviewer's Maps contributor id.
has_owner_responsebooleanTrue when the owner replied.
text_lengthintegerLength of the review text in characters (0 for a rating-only review).
image_countintegerHow many photos the review carries.

Add ?format=csv to the runs endpoint to get the same rows as CSV.

Long runs

Run in the background, then poll.

A run that needs more time can go to the background: send "async": true, get 202 with the run id, and poll the runs endpoint until the status is done. Reading a run is free.

import os, time, requests

H = {"Authorization": f"Bearer {os.environ['QD_API_KEY']}"}
r = requests.post("https://api.quanticdata.io/v1/scraper/collectors/place_reviews/run", headers=H,
                  json={**{"data_id":"0x89c25a4634938a45:0x229fa22c7b1623b9","sort_by":"newest","max_results":20}, "async": True}, timeout=30)
run_id = r.json()["payload"]["run_id"]
while True:
    run = requests.get(f"https://api.quanticdata.io/v1/scraper/collectors/runs/{run_id}", headers=H, timeout=30).json()["payload"]
    if run["status"] in ("done", "failed"):
        break
    time.sleep(5)
print(run["status"], run["count"])
Python: background run and polling

Errors

What can come back, and what is billed.

Collector run errors
StatusMeaningBilled
400The input does not match the collector (payload.errors)No
401Missing or wrong API keyNo
402Balance and free credit do not cover the run: top upNo
422The input can never resolve; retrying the same input cannot helpNo
424The run failed at the source (blocked, timed out, layout changed); safe to retryNo
429Rate limit or a per-account brake; wait for Retry-AfterNo

Only delivered rows are billed: a run that delivers nothing costs nothing.

Price

$0.001 per delivered review.

What Place reviews rows cost at list price
RowsCost
1$0.001
1,000$1.00
10,000$10.00

Up to 100 reviews per run; split larger jobs into several runs. The $2 free credit every month covers about 2,000 reviews. No subscription; paid tiers lower the unit price. All collector prices: collector pricing.

Before you run it

Questions developers ask

Is there a free Place reviews API?

Every account gets $2 of free usage each month, about 2,000 reviews of this collector at $0.001 each, with no card.

Do I have to handle proxies, retries or blocks?

No. The collector runs on our network and handles them; a run blocked at the source returns 424 and is not billed.

How many rows can one run return?

Up to 100 reviews per run (the max_results input, where the collector has one).

Can an AI agent run it?

Yes: the MCP server exposes it as the run_collector tool, with the same input and price. See the MCP server.

Run it on the free credit.

Create an API key, export it as QD_API_KEY and run the example. $0.001 per delivered review, no subscription.