Get / scrape Google Search results for a keyword and save them to Coda

Looking for a hassle-free way to gather and organize information from Google search results? Look no further! This playbook is here to help you. By leveraging automation, it scrapes Google search results based on your query and seamlessly saves them to a Coda table.

Say goodbye to the manual drudgery of copying and pasting search results into spreadsheets. This automation simplifies the process, allowing you to focus on extracting insights rather than data entry.

Whether you're conducting market research, tracking online trends, or gathering data for analysis, this playbook streamlines your workflow. No more sifting through pages of search results or struggling with formatting issues. Let this automation help you improve your workflow, saving you time and effort in data collection.

Let’s set it up!

Step 1: Create a Coda table

The first step is to create a Coda table with the information you want to save.

Bardeen will open your search query based on the keywords that you enter and get information like title, description and link.

Step 2: Install the extension and set up Google data scraper

You will be redirected to install the browser extension when you run it for the first time. Bardeen will also prompt you to integrate Coda.

Click the “Pin it” button at the top of this page to get this automation saved to your Playbooks. 

Activate Bardeen (or hit Option + B on Mac or ALT + B on PC on your keyboard) and click on the playbook card, and the setup flow will start. 

You will be asked to enter your Coda table and specify the maximum number of Google search results you would like to save to your Coda table. After you choose the database and maximum number of results to fetch, you will get a prompt to map the information to the fields in Coda.

The left side consists of all the fields Bardeen will scrape for you. On the right side, specify the fields in Coda that you want to associate with the information on the left. If you don’t want a piece of information, leave that field empty, and it will be skipped. That’s it!

Click on “Save Input” and checkmark Coda and the maximum number of results you want to get. This will save you time from setup in the future. You can edit Inputs later by hovering over the playbook. 

Step 3: Run the automation to scrape Google Search Results for a keyword and save them to Coda

When you want to save Google Search results for a keyword to a Coda table, activate Bardeen (or hit Option + B on Mac or ALT + B on PC on your keyboard) and run this playbook. It will query the search and save the results to your Coda table with on click.

This automation is fantastic for content creators who can leverage this automation to gather relevant information from Google search results for their research and writing. They can quickly scrape data such as statistics, facts, and reference materials related to their topic of interest. This enables them to streamline their content creation process and ensures they have accurate and up-to-date information at their fingertips.

Professionals involved in market analysis and competitor research can also benefit from this automation. They can extract valuable insights from Google search results, including competitor rankings, market trends, customer reviews, and product information. By saving this data to a Coda table, they can easily compare and analyze the information, helping them make informed business decisions.

Researchers and data enthusiasts can utilize this automation to collect and organize data from Google search results for various purposes. Whether they are working on academic projects, data analysis, or building a knowledge base, this automation helps them efficiently gather relevant information from the web and store it in a structured format within a Coda table.

You can also edit the playbook and add your next action to further customize the automation.

Find more Google Search data scraper or Coda integrations.

You can also find more about how to increase your personal productivity and improve your data sourcing and research process.