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Parsera · Excel Guide

Export All Parsera Scraper Configurations Into an Excel workbook

2026-05-14
5 min read

The Scenario

You're a product manager and you've just been handed the login credentials for a Parsera account that belonged to a colleague who left the company three weeks ago. There are 28 saved scraper configurations in there. You don't know what any of them do, whether they overlap, which ones are actively used, or which ones are safe to delete. Your first task is to get a list of all of them into a workbook so you can start making sense of what you inherited.

The bad version:

  • Log into Parsera, open the scrapers section, look at the first entry
  • Open an Excel workbook in another window, type the scraper name into A2, the ID into B2, the description (if there is one) into C2
  • Go back to Parsera, find the next scraper, go back to the workbook, type again
  • Do that 27 more times, pausing to re-read each scraper's description because you have no memory of what the previous ones said and you're trying to build a mental model of the account at the same time

You've got enough on your plate with the transition itself. Building the inventory list isn't the job — having the inventory list is.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Excel workbook. Through its Parsera integration, it can fetch your full scraper library and populate the workbook with scraper names, IDs, and descriptions so you have an inventory ready to work from — without re-logging into the dashboard 28 times.

Fetch every saved scraper from my Parsera account and populate the 'Scraper Library' sheet with name, ID, and creation date for a full inventory

What You Get

  • Column A fills with scraper names
  • Column B fills with scraper IDs
  • Column C fills with descriptions (or an empty cell where no description was saved, which is itself useful information)
  • Every scraper in the account appears in the workbook — not just the ones visible in the first page of the dashboard UI

What If the Data Is Not Quite Ready

You need to find scrapers without descriptions before a team handoff

List all Parsera scraper configurations with name, ID, and description. After populating, flag any row in column D where the description is empty — those are the scrapers that need documentation before I hand the account over

You want the list sorted by creation date to understand the account's history

Fetch all Parsera scrapers with name, ID, description, and creation date. Sort the results by creation date ascending so the oldest scrapers appear first, which is where the technical debt is likely to be

You need a specific worksheet for the inventory

Fetch every saved scraper from my Parsera account and populate the 'Scraper Library' worksheet with name, ID, and creation date for a full inventory. Create the worksheet if it doesn't exist

One prompt: fetch the full library, flag undocumented scrapers, and summarize what's there

List all my Parsera scraper configurations with name, ID, description, and creation date. Flag any scrapers with no description in column E. Then write a summary in cell A31 noting the total count, how many have descriptions, and the date range of creation dates

Each of these is one ask, not a fetch-then-cleanup sequence.

Try It

Get the 7-day free trial of SheetXAI and open a blank Excel workbook to start your Parsera account audit. Ask SheetXAI to pull your full scraper library into a structured inventory in one shot. For related tasks, see how to list all your Parsera agents or run a saved template against a new batch of URLs.

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