Coda
OpenAI
Scraper
Workflow Template

Find search intent from a Google Search page and save to Coda

This playbook will find search intent from the Google search results page and classify the results as commercial, informational, commercial investigation, and transactional. It will then save the results to a specified Coda table.
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Scrape data on active tab
Action
Get rows of a table
Action
Classify text
Action
Get current page as HTML
Action
Add data to Coda table
Action

How does this automation work?

Bardeen's playbook to analyze search intent from a Google Search page and save insights to Coda is crucial for marketers and SEO specialists. Identifying whether search queries have commercial, informational, commercial investigation, or transactional intent is essential for understanding your audience and optimizing content strategy. By automating this process, businesses can save time, gain actionable insights, and better tailor their content to meet user needs.

Here is how this workflow identifies search intent and saves it to Coda:

  • Step 1: Scrape Google Search Data - The Scraper tool extracts the top 10 search results from an active Google search page without manual effort. It's set to use Bardeen's template for Google search results.
  • Step 2: Extract Rows from Scraper - Bardeen then processes the scraped table data to prepare it for classification.
  • Step 3: Classify Search Intent - Using OpenAI, the text from the scraped data is classified into intent categories such as commercial or informational.
  • Step 4: Capture Current Page - Bardeen captures the HTML of the current page, ensuring that you have the context of where the data was sourced.
  • Step 5: Save to Coda - Finally, the classified search results are added to a Coda table within your specified document, creating a record that can be analyzed and referenced.
Run this Coda automation with Bardeen in minutes.

How to run the workflow

Looking to navigate the intricate landscape of Google search results with precision? Whether you're an experienced marketer, a dedicated researcher, or a savvy business strategist, the challenge remains the same: deciphering search intent amid the digital noise.

The frustration of spending countless hours combing through pages, trying to distinguish commercial opportunities from informational clutter, is all too familiar. Enter this automation, your invaluable assistant in the quest for clarity. With seamless proficiency, it classifies search results into distinct categories: commercial, informational, commercial investigation, or transactional.

But there's more. Imagine effortlessly channeling these categorized results directly into your specified Coda table, transforming your data management into a streamlined and efficient process. No more drudgery; just organized results.

For marketers refining content strategies, sales professionals hunting promising leads, or analysts tracking market trends, this automation is your reliable companion in conquering Google's labyrinth.

Let’s set it up!

Step 1: Create a Coda table

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

Bardeen will extract information from the currently opened search results page and save information like name, classification, classification explanation, link and description.

Step 2: Install the extension and map the information to Coda

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. The setup flow will start. 

You will be asked to specify a Coda table. After you choose the database, 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. You can edit Inputs later by hovering over the playbook. 

Step 3: Run the playbook to find search intent from Google Search and save to Coda

To get search intent from the Google search results page, navigate to the results page.

Activate Bardeen (or hit Option + B on Mac or ALT + B on PC on your keyboard) and run this playbook. It will get the results and use a classifier to classify the content as commercial, informational, commercial investigation, and transactional.

This automation is fantastic for content creators and digital marketers who can employ this automation to enhance their content strategies. By classifying Google search results into categories like commercial, informational, or transactional, they can gain valuable insights into user intent and tailor their content to better meet the needs of their target audience. This ensures that the content created aligns with what users are searching for, leading to higher engagement and conversion rates.

Sales and business development professionals can use this automation to identify potential leads and prospects. By categorizing search results as commercial investigation, they can pinpoint individuals or organizations actively researching products or services in their industry. This enables more targeted outreach and lead generation efforts, improving the chances of converting prospects into customers.

Market researchers and competitive analysts can also leverage this automation to streamline their processes. It helps them quickly assess the search intent behind specific keywords or topics and categorize search results accordingly. This provides valuable insights into market trends and competitor strategies, allowing businesses to make more informed decisions and stay ahead of the competition.

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

Find more Coda and Google Search integrations.

You can also find more about how to increase your personal productivity.

Run this Coda automation with Bardeen in minutes.

Available actions & triggers

Apps:
Find search intent from a Google Search page and save to Coda
Find search intent from a Google Search page and save to Coda
Find search intent from a Google Search page and save to Coda
Types:
Both
Actions
Triggers
Analyze sentiment
Analyze sentiment
Action
Extract table from text
Extract table from text
Action
Find Coda tables
Find Coda tables
Action
Create explanation for a question by OpenAI
Create explanation for a question by OpenAI
Action
Delete Scraper template
Delete Scraper template
Action
Generate recruiting email
Generate recruiting email
Action
Find Coda docs
Find Coda docs
Action
Scrape data from HTML file
Scrape data from HTML file
Action
Create new scraper template
Create new scraper template
Action
Correct grammar in text
Correct grammar in text
Action
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FAQs

Bardeen - Playbook / Autobooks: Is it possible to create a Playbook that scrapes data from a website and sends it as an email attachment?

You can create a Bardeen Playbook to scrape data from a website and then send that data as an email attachment.

Youtube: Can I download a Youtube video to my computer using Bardeen?

Unfortunately, Bardeen is not able to download videos to your computer.

Google Sheets: What is the best way to export data to Google Sheets?

Exporting data (ex: scraped data or app data) from Bardeen to Google Sheets is possible with our action to “Add Rows to Google Sheets”.

Meetings: Is there a playbook to record and summarize meetings?

There isn't a specific AI use case available for automatically recording and summarizing meetings at the moment

Playbooks/Autobooks: How do I edit an action in a Playbook or Autobook?

Please follow the following steps to edit an action in a Playbook or Autobook.

Scraper: How can I get data from multiple sections of a profile (Eg: getting the experience section on a linkedin profile)?

Cases like this require you to scrape the links to the sections and use the background scraper to get details from every section.

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