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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.

A Python requests snippet that posts {
A Python requests call to the google_maps_places collector returns one dict per place, 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/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"))
Python: one Google Maps places run (Pizza in Brooklyn), printing name, rating, reviews, 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.

Input of the Google Maps places collector
ParameterTypeRequiredMeaning
querystringyesBusiness type or keyword, e.g. "pizza restaurants", "dentist".
locationstringyesCity / area / address, e.g. "Brooklyn, NY" or "Milano".
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 places to deliver at most (1–300). You pay only for delivered places.
enrich_detailsbooleanno (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.

Fields of each row (place)
FieldTypeWhat it holds
rankinteger1-based position across the merged pages.
namestringBusiness name.
ratingnumber, nullableStar rating (1–5).
reviewsinteger, nullableReview count.
categorystring, nullableGoogle category, e.g. "Pizza restaurant".
price_levelstring, nullablePrice level as shown ($$, $10–20).
addressstring, nullableStreet address as shown.
phonestring, nullablePhone number as shown.
websitestring, nullableWebsite URL or domain.
hoursstring, nullableOpening hours as text, "Monday: 9 AM–5 PM; Tuesday: …" (one day only when the weekly table is not available).
weekly_hoursobject, nullableOpening hours per day, {"Monday": "9 AM–5 PM", …}, in the run's language.
open_statestring, nullableLive state as shown at run time ("Open · Closes 11 pm").
service_optionsstring, nullableDine-in · Takeout · Delivery…
thumbnailstring, nullablePhoto thumbnail URL.
maps_urlstring, nullableGoogle Maps link.
latitudenumber, nullableGPS latitude.
longitudenumber, nullableGPS longitude.
place_idstring, nullableGoogle place id (ChIJ… or 0x…:0x…).
data_idstring, nullableFeature id 0x…:0x… — input for Place reviews.
descriptionstring, nullableEditorial blurb when Google shows one.
found_bystringThe 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"])
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 place.

What Google Maps places rows cost at list price
RowsCost
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.