This workflow automates the process of scraping data from a Google My Business page and saving it directly to a specified Google Sheet. It is designed to simplify data collection from Google My Business listings for analysis, reporting, or archival purposes.
The process begins with the activation of a combined scraper model on the active tab, which targets and extracts specific information from a Google My Business page. Once the data is scraped, it is automatically appended to the designated Google Sheet tab. Examples of use cases for this workflow include:
Note: This workflow is highly adaptable to various data collection needs by changing the scraper model. Bardeen supports integration with other databases like Airtable, or CRMs for storing scraped data.
Enhance your business intelligence and market research strategies by automating the collection of valuable Google My Business data with Bardeen.
To start, install the Bardeen app on your device by visiting the official download page.
After installation, open the Magic Box and input the prompt:
Scrape Google My Business then save into Google Sheets
Make sure to set up integrations with Google My Business for scraping data and Google Sheets for saving the extracted data.
Execute the workflow to begin the process. The steps involved are:
Scraping Google My Business listings is a valuable method for gathering business data like names, ratings, addresses, and reviews. This data can be crucial for market research, competitive analysis, and lead generation. While manual data collection is possible, it is often time-consuming and inefficient. Automating this process can save time and provide more accurate data. Tools like ProWebScraper, G Maps Extractor, and Outscraper offer solutions for scraping Google My Business data efficiently.
Automate your Google My Business data collection with Bardeen to save time and improve accuracy. Start now.
Manually scraping data involves visiting each Google My Business listing and copying the needed information. This method, while straightforward, is not scalable for large datasets. Tools like ProWebScraper allow you to configure scrapers by entering the Google My Business page URL, selecting data using point-and-click or CSS selectors, and downloading the data in formats like CSV or JSON. Similarly, G Maps Extractor and Outscraper provide easy-to-use interfaces to extract a wide range of data fields from Google Maps listings, including emails, phone numbers, and social media profiles.
Once you've scraped Google My Business data, the next step is to organize and analyze it. Google Sheets is a popular choice for this task due to its accessibility and integration capabilities. Manually, this involves copying the scraped data into a Google Sheets document. However, this process can be automated for efficiency and accuracy.
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For a more automated approach, tools like Windsor.ai offer integrations that directly connect Google My Business data to Google Sheets. This method typically involves selecting Google My Business as a data source, granting access, and choosing Google Sheets as the destination. Advanced options may include scheduling automatic data refreshes and customizing the data fields to be imported. This automation not only saves time but also ensures that your Google Sheets document is always up-to-date with the latest data.
For those seeking a no-code solution, using an add-on for Google Sheets can simplify the process. After installing the add-on, you can easily import Google My Business data by configuring the desired metrics, dimensions, and refresh schedules. This approach is ideal for those who want to monitor Local SEO performance or analyze business data without manual data entry.
With our new Bardeen version, you can easily extract data from any website and discover new leads across the web. After extracting data from a website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.
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