Automatically extract product data from your saved search URLs

Feeds a list of search page links into a scraper that pulls product titles, prices, and details straight into Google Sheets.

How the work actually flows

A straight line. Runs once per each product page found.

Pattern: Multiple Instances without Synchronization (12)

flowchart TD trig(("user manually runs scraper")):::human s0[("read search page urls")]:::store s1["scan pages for product links"]:::task s2[["scrape each product page"]]:::mi s3[("write results to sheet")]:::store s4["send completion email"]:::task trig --> s0 s0 --> s1 s1 -->|"one per each product page found"| s2 s2 --> s3 s3 --> s4 out[/"spreadsheet of scraped products"/]:::out pay{{"saves hours of manual copying"}}:::pay s4 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepRuns once per itemA personA record or sheetResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
E-commerce & ProductEmail AutomationSpreadsheet & Database OpsWeb Scraping & Data CollectionResearch & Market Intelligence
Connects
MrScraperGoogle SheetsGmail

The problem it solves

You want to track competitor prices or build a product database, but manually opening dozens of search result pages and copying details into a spreadsheet eats your afternoon. Doing it by hand also means you miss updates and end up with inconsistent, messy data.

Who it fits

E-commerce teams, researchers, or analysts who need structured product data from search or directory pages without manual copying.

How it works

  1. A list of search or listing page URLs is read from Google Sheets
  2. Each search page is scanned to find every individual product page link
  3. Each product page is scraped for title, price, description, and other details
  4. The results are placed into a Google Sheets output tab
  5. A Gmail summary is sent once the run finishes
What you get

Product records built without manual browsing

You get structured product data pulled from search pages straight into a spreadsheet without anyone browsing each listing.

What you get

An organized spreadsheet of product records, plus an email summary confirming the run completed.

What you need

A MrScraper account with API access, a Google account for Sheets, and a Gmail account for notifications.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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