Save Instagram profile to Notion
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How does this automation work?
How to run the playbook
You found a cool profile in Instagram?
Whether it's an influencer or a competitor brand, this playbook will help you will scrape an Instagram profile and save it directly to Notion.
This playbook is composed of two actions:
- Scrape data on active tab
- Add a Notion page
Step 1: Set up a contacts database in Notion
First, you will need to set up a Notion database for contacts. You can create one from scratch or duplicate our template optimized for this use case.
Step 2: Setup the Playbook
Click the “Pin it” button at the top of this page to get this Playbook saved to your playbooks.
Then we need to map data from Bardeen's Scraper to Notion.
To do this, hover over the playbook card and click on “Open Playbook in Builder.”
From here, customize last action - "Add a Notion page". Choose a database and click on “custom field mapping.” Link the data from action 1 to action 2.
Save the playbook and close the builder.
Step 3: Run the Automation
Go to an Instagram profile page, click on the Playbook card and watch the magic happen.
To learn what else you can automate with Notion, check out our Notion Automation Guide.
Source more integration opportunities with Notion automations, Instagram integrations, or a combination of both, or tailor the playbook to better suit your specific workflow needs.
Learn more about the fantastic marketing automations developed by Bardeen.
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FAQs
You can create a Bardeen Playbook to scrape data from a website and then send that data as an email attachment.
Unfortunately, Bardeen is not able to download videos to your computer.
Exporting data (ex: scraped data or app data) from Bardeen to Google Sheets is possible with our action to “Add Rows to Google Sheets”.
There isn't a specific AI use case available for automatically recording and summarizing meetings at the moment
Please follow the following steps to edit an action in a Playbook or Autobook.
Cases like this require you to scrape the links to the sections and use the background scraper to get details from every section.