Google My Business Scraper Tool

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.

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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

  1. Input Search Query: The script accepts a search term (e.g., "lawyers in Rawalpindi") to specify the type and location of businesses to scrape.
  2. Scraping Process: Using Selenium, the script navigates Google My Business, extracts relevant data, and processes each business entry.
  3. 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.
  4. Output Results: The output includes all requested business details in a clean and accessible format.

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

  1. Search Term: Provide a clear and specific search term (e.g., "restaurants in New York").
  2. Output Preferences: Specify if you require Excel output, Apify storage, or both.
  3. 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.

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!