Google Maps Scraper 0.2 Per 1 000 Places

$0.05 per 1,000 places. Turn any Google Maps search into a clean contact list.

Type what you would type into Maps — bakery, dentist, auto repair — pick a city, and get back every business it finds with phone, website, address, rating and coordinates, ready for a spreadsheet, a CRM or a cold-call list.

No login, no API key, no browser automation on your side.

Why people use it

• Sales prospecting — every dentist in a city, with phone numbers, in one file.
• Agency lead lists — filter for businesses rated below 4.0, or with no website, and you have a pitch list.
• Market research — how many competitors in a neighborhood, how they rate, where they cluster.
• Store and territory planning — coordinates for every location, mapped.

How to use it

1. Put one or more terms in Search terms, one per line.
2. Set the Location — a city, state or country.
3. Choose Places to extract per term.
4. Optionally switch on a filter, so you only pay for rows you can act on.
5. Run it, then export as JSON, CSV, Excel or HTML.

Each search term is run against the location, so three terms and one city give you three lists in a single run.

Input

Field	Type	Default	What it does
searchStringsArray	array	["bakery"]	What to look for, one per line
locationQuery	string	Curitiba, PR, Brazil	Where to look
maxCrawledPlacesPerSearch	integer	100	Cap per search term
language	string	pt-BR	Language of the results
skipPlacesWithoutPhone	boolean	false	Only businesses with a phone
skipPlacesWithoutWebsite	boolean	false	Only businesses with a website
minimumStars	string	any	Drop anything rated below this
selected_fields	array	9 standard	Which columns to return

The filters run before billing. A row you filter out is a row you do not pay for.

Example input

{
  "searchStringsArray": ["dentist", "orthodontist"],
  "locationQuery": "Miami, FL, United States",
  "maxCrawledPlacesPerSearch": 200,
  "language": "en",
  "skipPlacesWithoutPhone": true,
  "minimumStars": "4.0"
}

Output

{
  "nome": "Padaria Guarani",
  "categoria": "Padaria",
  "endereco": "Rua Chichorro Júnior, 442 - Cabral, Curitiba - PR, 80030-430",
  "cidade": "Curitiba - PR",
  "telefone": "+55 41 3057-0733",
  "site": "https://www.padariaguarani.com.br/",
  "nota": 4.6,
  "avaliacoes": 1271,
  "link_maps": "https://www.google.com/maps/place/?q=place_id:ChIJtwYA7Sjk3JQR4SJ6s6nBEzs"
}

Every field available

Field	Description
nome	Business name
categoria	Primary category
categorias	Every category Google lists
endereco	Full address as one line
rua	Street and number
bairro	Neighborhood
cep	Postal code
cidade	City and state
estado	State, spelled out
pais	Country code
telefone	Phone, formatted
telefone_digitos	Phone as digits only, for CRM import
site	Website
nota	Average rating
avaliacoes	Number of reviews
situacao	Open now, or when it opens next
descricao	Google's short description of the business
imagem	Photo URL
latitude / longitude	Coordinates
place_id	Google place ID
cid / kgmid	Google's other identifiers
fuso_horario	Time zone
link_maps	Direct link to the listing
busca	Which of your search terms found this row
posicao	Where it ranked in the results

Fields Google does not publish for a given business are left out of that row rather than sent as empty text, so a CSV stays readable.

Ready-made views

The results tab ships with five layouts, so you rarely need to rearrange columns yourself:

View	For
Overview	Everything in the default set
Lead generation	Name, phone, website — a call list
Contact info	Postal address split into columns
Rating	Sorted by how well reviewed they are
Map data	Coordinates and identifiers

API

Replace <TOKEN> with your API token from Settings → Integrations.

Run and get the results in one call

curl -X POST "https://api.apify.com/v2/acts/<ACTOR_ID>/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{
        "searchStringsArray": ["bakery"],
        "locationQuery": "Curitiba, PR, Brazil",
        "maxCrawledPlacesPerSearch": 200
      }'

Best for small and medium jobs — the connection stays open until the run finishes, so allow a generous client timeout.

Start a run and collect it later

# 1. start
curl -X POST "https://api.apify.com/v2/acts/<ACTOR_ID>/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchStringsArray": ["dentist"], "locationQuery": "Miami, FL", "maxCrawledPlacesPerSearch": 1000}'

# 2. poll until "status": "SUCCEEDED"
curl "https://api.apify.com/v2/actor-runs/<RUN_ID>?token=<TOKEN>"

# 3. download, in whatever format you need
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&format=csv"

Python

from apify_client import ApifyClient

client = ApifyClient("<TOKEN>")

run = client.actor("<ACTOR_ID>").call(run_input={
    "searchStringsArray": ["dentist", "orthodontist"],
    "locationQuery": "Miami, FL, United States",
    "maxCrawledPlacesPerSearch": 300,
    "skipPlacesWithoutPhone": True,
})

for place in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(place["nome"], place.get("telefone"), place.get("nota"))

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<TOKEN>' });

const run = await client.actor('<ACTOR_ID>').call({
    searchStringsArray: ['coffee shop'],
    locationQuery: 'Lisbon, Portugal',
    maxCrawledPlacesPerSearch: 150,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`${items.length} places`);

Run summary

Alongside the dataset, each run writes an OUTPUT record with a per-search breakdown:

{
  "ok": true,
  "total_items": 340,
  "searches": [
    { "search": "dentist", "location": "Miami, FL", "count": 200 },
    { "search": "orthodontist", "location": "Miami, FL", "count": 140 }
  ]
}

If a search cannot be completed, its entry carries an erro field and whatever was already collected stays in the dataset. A partial result is never reported as a full one.

Notes and limits

• Narrow beats broad. pizza in Vila Madalena, São Paulo returns better data than pizza in Brazil. Google itself caps how deep any single search goes, so several tight searches beat one enormous one.
• Google returns a finite list per search. Asking for more places than exist simply returns everything available.
• Duplicates are removed within a run by place ID.
• Coverage measured on real runs: phone 97%, rating and review count 100%, photo 100%, website ~80%.
• descricao is Google's own editorial summary. Google writes those mostly for restaurants, cafés and hotels — around 75% of a restaurant search has one, and a search for dentists or law firms will have almost none. That is Google's data, not a gap in the scraper.

Support

Found a bug, or need a field that is not on the list? Open an issue on the Issues tab with the input you used and the run ID.

Disclaimer

This is an unofficial tool and is not affiliated with, endorsed by, or sponsored by Google LLC. It collects only publicly available business listings. You are responsible for how you use the data, including compliance with applicable laws, the target site's terms, and privacy rules such as GDPR and LGPD when the data concerns identifiable people.