Pricing
$10.00/month + usage
Google My Business Scraper Tool
This Python script automates data scraping from Google My Business. It collects essential information like business name, website, phone number, address, ratings, and photos, saving the data in Excel format and uploading it to an Apify dataset.
Pricing
$10.00/month + usage
Rating
5.0
(1)
Developer
Actor stats
4
Bookmarked
386
Total users
14
Monthly active users
2 months ago
Last modified
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Google My Business Data Scraper
Overview
The Google My Business Data Scraper is a powerful tool designed to collect essential business information from Google. This tool automates the process of extracting data, including business names, contact details, websites, ratings, profiles, and photos. The extracted data can be saved in an Excel file or sent to an Apify dataset for further analysis, ensuring streamlined access to critical insights.
Key Features
- Efficient Data Extraction: Automates the collection of business names, phone numbers, addresses, websites, ratings, and photos.
- Excel Export: Saves the data in a well-structured Excel file for easy use and sharing.
- Apify Integration: Seamlessly stores scraped data in Apify datasets for scalability.
- Pagination Support: Handles multiple pages of data to ensure comprehensive results.
- Headless Browsing: Operates in the background without disrupting your workflow.
Benefits
- Saves time and effort compared to manual data collection.
- Delivers accurate and structured data for business analysis.
- Enhances decision-making with quick access to business information.
- Reduces errors through automated and reliable processes.
How It Works
- Input Search Query: The script accepts a search term (e.g., "lawyers in Rawalpindi") to specify the type and location of businesses to scrape.
- Scraping Process: Using Selenium, the script navigates Google My Business, extracts relevant data, and processes each business entry.
- Data Storage:
- Excel Output: Data is saved locally in
<search-term>_data.xlsx. - Apify Dataset: Optionally pushes data to an Apify dataset for cloud-based storage.
- Excel Output: Data is saved locally in
- Output Results: The output includes all requested business details in a clean and accessible format.
Input
| Field | Type | Default | Description |
|---|---|---|---|
search | string | required | Search query, e.g. "restaurants in New York" |
max_results | int | 100 | Max listings to return (0 = unlimited) |
max_scrolls | int | 50 | Max scroll attempts |
language | string | "en" | Google Maps language code |
geo_coordinates | string | — | "lat,lng" to center the search |
zoom_level | int | 14 | Map zoom (1–21) |
proxy | object | Residential | Apify proxy config |
max_retries | int | 3 | Retries with proxy rotation |
scroll_delay_min | float | 1.5 | Min delay between scrolls (s) |
scroll_delay_max | float | 3.5 | Max delay between scrolls (s) |
extract_detailed | bool | false | Click each listing for extra fields |
Data Captured
- Business Name
- Website URL
- Phone Number
- Address
- Ratings
- Profile Links
- Photo URLs
Deliverables
- Clean and structured Excel file containing all scraped data.
- Optionally, data uploaded to an Apify dataset (if configured).
Client Instructions
- Search Term: Provide a clear and specific search term (e.g., "restaurants in New York").
- Output Preferences: Specify if you require Excel output, Apify storage, or both.
- Review Results: Once the script completes, review the Excel file or Apify dataset for insights.
Support
For any issues, clarifications, or enhancements, feel free to reach out.
