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.

First call
Install, call, read the rows.
pip install requestsimport 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"))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.
| Parameter | Type | Required | Meaning |
|---|---|---|---|
data_id | string | no | Feature id "0x…:0x…" from Google Maps places (preferred). |
place_id | string | no | Google place id (ChIJ…), alternative to data_id. |
query | string | no | Alternative to ids: business name, resolved to the first place found. |
location | string | no | Where to look the name up (with query). |
sort_by | string: relevance, newest, highest_rating, lowest_rating | no (default relevance) | Review ordering. |
country | string | no | ISO 3166-1 alpha-2 code — proxy exit geo and Google locale (gl). Omit for the default pool. |
lang | string | no | Interface language (hl), e.g. en, it, de. |
max_results | integer | no (default 20) | How many reviews to deliver at most (1–100). You pay only for delivered reviews. |
Response fields
20 fields per review.
| Field | Type | What it holds |
|---|---|---|
rank | integer | 1-based position. |
review_id | string, nullable | Google's review id. |
rating | number, nullable | Stars (1–5). |
date | string, nullable | Relative date as shown ("2 months ago"). |
iso_date | string, nullable | ISO 8601 timestamp when exposed. |
text | string, nullable | Review body. |
author | string, nullable | Reviewer display name. |
author_url | string, nullable | Reviewer's Maps contributor page. |
author_thumbnail | string, nullable | Reviewer photo URL. |
link | string, nullable | Direct link to the review. |
source | string, nullable | Review source (Google, Tripadvisor…). |
images | string[] | Photos attached to the review. |
owner_response_date | string, nullable | Owner reply date. |
owner_response_text | string, nullable | Owner reply text. |
data_id | string | The place's data_id the review belongs to. |
place_name | string, nullable | Place name when resolved from query. |
author_id | string, nullable | Reviewer's Maps contributor id. |
has_owner_response | boolean | True when the owner replied. |
text_length | integer | Length of the review text in characters (0 for a rating-only review). |
image_count | integer | How 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"])Errors
What can come back, and what is billed.
| Status | Meaning | Billed |
|---|---|---|
400 | The input does not match the collector (payload.errors) | No |
401 | Missing or wrong API key | No |
402 | Balance and free credit do not cover the run: top up | No |
422 | The input can never resolve; retrying the same input cannot help | No |
424 | The run failed at the source (blocked, timed out, layout changed); safe to retry | No |
429 | Rate limit or a per-account brake; wait for Retry-After | No |
Only delivered rows are billed: a run that delivers nothing costs nothing.
Price
$0.001 per delivered review.
| Rows | Cost |
|---|---|
| 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.