Save eBay products from search to Google Sheets
This is a Bardeen playbook. It's a pre-built automation template you can run in one-click to perform a repetitive task. Get started with our free Chrome extension.
How does this automation work?
Bardeen's automation playbook seamlessly captures product data from eBay searches and saves it directly to Google Sheets. Whether you're conducting market research, monitoring pricing trends, or compiling product listings for your e-commerce business, this workflow eliminates the manual task of copying and pasting product information, thus saving you time and reducing errors.
Here's how this workflow takes eBay product listings and records them in Google Sheets:
- Step 1: Scrape eBay Search Results - Utilize the Scraper to extract product listings from an active eBay search page. Specify the maximum number of items to be scraped to tailor the data set to your needs.
- Step 2: Save to Google Sheets - After scraping the data, Bardeen will add the product information into a specified Google Sheets spreadsheet. This step requires you to define the Google Sheet where data will be stored.
How to run the playbook
Search for more integration opportunities with Google Sheets automations, eBay integrations, or both Google Sheets and eBay, or modify the playbook to better suit your specific workflow needs.
Learn more about great data sourcing integrations, marketing automation, sales and prospecting automation, and recruiting integrations available.
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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.