Collectors · Local & Maps
Google Maps scraper API in Python
Businesses for a keyword in a location — name, rating, address, phone, website, coordinates. One POST from Python with query and location, rows back as JSON with 21 fields, $0.001 per delivered place. 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/google_maps_places/run",
headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
json={
"query": "pizza restaurants",
"location": "Brooklyn, NY",
"country": "us",
"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("name"), row.get("rating"), row.get("reviews"), row.get("category"))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 |
|---|---|---|---|
query | string | yes | Business type or keyword, e.g. "pizza restaurants", "dentist". |
location | string | yes | City / area / address, e.g. "Brooklyn, NY" or "Milano". |
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 places to deliver at most (1–300). You pay only for delivered places. |
enrich_details | boolean | no (default true) | Look each place up to fill the weekly opening hours and the review count when Google's list leaves them out. Same price per place; set false for the list fields only (faster). |
Response fields
21 fields per place.
| Field | Type | What it holds |
|---|---|---|
rank | integer | 1-based position across the merged pages. |
name | string | Business name. |
rating | number, nullable | Star rating (1–5). |
reviews | integer, nullable | Review count. |
category | string, nullable | Google category, e.g. "Pizza restaurant". |
price_level | string, nullable | Price level as shown ($$, $10–20). |
address | string, nullable | Street address as shown. |
phone | string, nullable | Phone number as shown. |
website | string, nullable | Website URL or domain. |
hours | string, nullable | Opening hours as text, "Monday: 9 AM–5 PM; Tuesday: …" (one day only when the weekly table is not available). |
weekly_hours | object, nullable | Opening hours per day, {"Monday": "9 AM–5 PM", …}, in the run's language. |
open_state | string, nullable | Live state as shown at run time ("Open · Closes 11 pm"). |
service_options | string, nullable | Dine-in · Takeout · Delivery… |
thumbnail | string, nullable | Photo thumbnail URL. |
maps_url | string, nullable | Google Maps link. |
latitude | number, nullable | GPS latitude. |
longitude | number, nullable | GPS longitude. |
place_id | string, nullable | Google place id (ChIJ… or 0x…:0x…). |
data_id | string, nullable | Feature id 0x…:0x… — input for Place reviews. |
description | string, nullable | Editorial blurb when Google shows one. |
found_by | string | The Google query that surfaced this place. |
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/google_maps_places/run", headers=H,
json={**{"query":"pizza restaurants","location":"Brooklyn, NY","country":"us","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 place.
| Rows | Cost |
|---|---|
| 1 | $0.001 |
| 1,000 | $1.00 |
| 10,000 | $10.00 |
Up to 300 places per run; split larger jobs into several runs. The $2 free credit every month covers about 2,000 places. No subscription; paid tiers lower the unit price. All collector prices: collector pricing.
Before you run it
Questions developers ask
Is there a free Google Maps places API?
Every account gets $2 of free usage each month, about 2,000 places 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 300 places 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 place, no subscription.