Google Maps Local Business Scraper $1.5/1k EN/FR/ES/DE
Pricing
from $1.50 / 1,000 result extracteds
Google Maps Local Business Scraper $1.5/1k EN/FR/ES/DE
Extract business name, address, phone, website, rating, reviews and category from Google Maps. Supports English, French and Spanish search queries. No API key required.
Pricing
from $1.50 / 1,000 result extracteds
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Developer
Ziad Tarik
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3 days ago
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Google Maps Local Business Scraper — EN / FR / ES
Scrape Google Maps for business listings at scale. Extract highly accurate names, addresses, phone numbers, websites, ratings, reviews, coordinates, and categories from any location worldwide.
Built for speed and cost-efficiency, this scraper features native multilingual support for English, French, and Spanish queries. No Google API key required.
What does this scraper do?
This Apify actor extracts rich structured data directly from Google Maps search results. Give it a list of search keywords (e.g., "coffee shops in London"), and it will return detailed information about every matching business in a clean, exportable format.
Why use this scraper?
- Lead Generation: Build highly targeted lists of local businesses complete with phone numbers and websites.
- Market Research: Analyze competitor density, ratings, and reviews in any specific city or neighbourhood.
- Local SEO: Monitor your clients' business listings and track their rating performance over time.
- Data Enrichment: Seamlessly enrich your CRM with pristine location data.
Pricing
We believe in 100% transparent pricing. You only pay for what you extract.
- $0.0015 per result extracted.
- A search returning 100 businesses costs exactly $0.15.
Supported Languages
Unlike basic scrapers, this actor is natively optimized to handle international search intent:
| Language | Example query |
|---|---|
| English | plumbers London |
| French | plombiers Lyon / restaurants Casablanca |
| Spanish | fontaneros Madrid / restaurantes Buenos Aires |
Input Options
| Field | Type | Description |
|---|---|---|
searchQueries | array | Search terms to look for. Each keyword is searched independently. |
language | string | Output Language. Controls the language of the extracted data (e.g., category names like "Coffee shop" vs "Café", and address formatting). |
city | string | (Optional) A city name automatically appended to all queries to focus the search area (e.g., London). |
countryCode | string | (Optional) Country code to bias results geographically (e.g., US, FR). |
maxResults | integer | Maximum unique places to collect per query. |
includeOpeningHours | boolean | Enrich Data Toggle. Set to true to visit each business's detail page. This is required to extract the website, phone, fullAddress, openingHours, and accurate reviewCount. |
Input Example
{"searchQueries": ["coffee shops in Paris"],"language": "en","maxResults": 20,"includeOpeningHours": false}
Output Data
The scraper stores results in your Apify dataset. Each place is stored as a separate item with the following key fields:
| Field | Type | Description |
|---|---|---|
name | string | Business or place name |
category | string | Business category (e.g., "Coffee shop") |
address | string | Short street address |
fullAddress | string | Complete postal address (if available) |
phone | string | Phone number |
website | string | Website URL |
rating | number | Average rating (1.0 - 5.0) |
reviewCount | integer | Total number of reviews |
latitude | number | Latitude coordinate |
longitude | number | Longitude coordinate |
googleMapsUrl | string | Direct link to the Google Maps listing |
Output Example
{"name": "Café de Flore","category": "Coffee shop","address": "172 Bd Saint-Germain, 75006 Paris","fullAddress": "172 Bd Saint-Germain, 75006 Paris, France","phone": "+33 1 45 48 55 26","website": "https://cafedeflore.fr","rating": 4.3,"reviewCount": 12847,"latitude": 48.8539,"longitude": 2.3328,"googleMapsUrl": "https://www.google.com/maps/place/...","openingHours": { "Monday": "8:00–18:00", "Tuesday": "8:00–18:00" },"scrapedAt": "2026-06-10T20:31:03.588Z"}
Note:
fullAddress,phone,website, andopeningHoursare only populated when the Enrich Data toggle (includeOpeningHours) is set totrue. Without enrichment, these fields will benull.
Proxy Configuration Strategy
To maximize success rates and avoid Google's anti-bot captchas, we strongly recommend following this dual-proxy strategy based on your Enrich Data toggle:
- Enrich Data OFF (Fast List Scraping): Use standard Datacenter Proxies. The scraper will use a special cookie bypass to extract list-level data extremely quickly without getting blocked.
- Enrich Data ON (Deep Extraction): Use Residential Proxies. When visiting individual business detail pages to extract websites, phone numbers, and hours, Google is highly defensive against bots. Residential Proxies use real household IP addresses, allowing the scraper to naturally bypass deep-navigation captchas.
Tips for Best Results
- Be specific:
"plumbers in Manhattan, NY"works much better than just"plumbers". - Use local languages: If searching in Spain, use
"restaurantes Madrid"instead of"restaurants Madrid"for maximum coverage. - Control your costs: Keep the Enrich Data toggle (
includeOpeningHours) set tofalseunless you absolutely need websites or phone numbers, as visiting individual detail pages significantly increases compute usage and requires Residential Proxies.
Integrations
This scraper connects with almost any cloud service or web app via integrations on the Apify platform. You can seamlessly route your scraped data to:
- Make & Zapier — Automate workflows and connect to 5,000+ apps.
- Google Sheets — Export results directly to a live spreadsheet.
- Slack — Get notifications when scraping completes.
- Webhooks — Send results to any custom HTTP endpoint or CRM.
Notes & Limitations
- Results come from Google Maps public search — no account required.
- Respect Google's Terms of Service and applicable scraping laws in your jurisdiction.
- Google Maps returns a maximum of approximately 120 results per search query regardless of your
maxResultssetting. For large-scale extractions, split your search into multiple targeted queries by neighbourhood, district, or zip code (e.g."coffee shops Soho","coffee shops Mayfair","coffee shops Camden").