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Tutorial

Automated Google My Business Scraper

Web scraping is a powerful way to collect data from websites, but it usually needs coding skills and time. Our tool makes this much easier. You don’t need any coding experience. Just follow a few simple steps and you’ll have all the data you need in no time!

Step 1: Access the Tool

Start by opening the tool in Google Colab. There’s no need to download anything! Simply follow the steps provided in the Colab notebook to run it directly from your browser.

Why it’s great: No downloads, no setup—just run it in your browser and you’re good to go!

Step 2: Enter Your Search Keyword

When you open the tool, it will ask you to type in a search keyword. For example, you can type “lawyers in Rawalpindi” to find details about law firms. The tool will search the web for you!

Why it’s great: You don’t have to do the searching. The tool does it for you.

Step 3: Let the Tool Collect Data

Once you’ve typed in your keyword, just click “Start.” The tool will automatically open the web page, find the information, and collect details like:

  • Business Name
  • Phone Number
  • Website
  • Rating
  • Address
  • Profile Link
  • Photos

Why it’s great: The tool does all the work of collecting the information for you.

Step 4: Save and Export Your Data

When the tool is done, it saves all the collected data in an Excel file. You can easily open this file to see the information and use it however you want.

Why it’s great: You get your data neatly organized and ready to use in just a few clicks!

Step 5: Watch It Work

Still not sure? Watch this short video to see how easy it is to use the tool:

Contact Me to Get the Tool

If you want to try the tool for yourself, just contact me! You can send an email or use the form below to get started.

Email: jamshaid@datavyn.com

2 Comments

    • Arjun Patel
      February 3, 2024

      Great tutorial! I liked how you used the Titanic dataset as an example—it made the concepts much easier to understand.

    • Jessica Miller
      May 30, 2024

      It would be awesome if you could include more advanced topics like hyperparameter tuning or working with imbalanced datasets in future posts."

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