A Make workflow that uses Apify. NexGenData has no official Make app — these are public-data Apify actors you run inside Make through Make’s official Apify integration, on a schedule, with your own Apify token.
The problem: prices and sellers move faster than you can check them
If you sell into e-commerce, run an agency, or watch competitors, product prices, sellers, and availability change daily. Checking them by hand doesn’t scale, and you find out about a competitor’s price drop or a stockout too late. A scheduled Make scenario pulls Google Shopping data automatically and pushes only the changes into a sheet or a Slack channel.
Who this is for
E-commerce sellers, DTC brands, competitive-intelligence and agency teams who want hands-off price and product monitoring.
The Make workflow
- Schedule trigger — run the scenario on an interval (e.g. daily, or hourly on a paid Make plan).
- Run an Actor — Apify app → “Run an Actor” → Google Shopping Scraper, with your product queries in the Input JSON.
- Get Dataset Items — pull the run’s results (product, seller, price, availability, rating).
- Filter / format — keep only price drops, stockouts, or new SKUs (compare to last run).
- Send to destination — Google Sheets “Bulk Add Rows”, a Slack alert, an email digest, Airtable, or a webhook into your own tool.
Full module names and the dedupe pattern are in the workflow recipes. Connection is bring-your-own Apify token.
Sample input (product watchlist)
| query |
|---|
| warehouse robotics kit |
| protein meal replacement |
| standing desk converter |
Sample output (routed into Sheets/Slack)
| product | seller | price | availability | change |
|---|---|---|---|---|
| AutoPick Robotics Bundle | Northwind Robotics | $2,199 | in_stock | -12% (undercut) |
| Generic RTD 12-pack | ValueMart | $24.99 | out_of_stock | stockout |
Illustrative sample.
Run it on a schedule
Set the Make schedule once and the scenario becomes an always-on price watch: every run refreshes the data and alerts you only when something moved — no manual spot-checks.
Try it
Run the Google Shopping Scraper on Apify →
Browse more: All actors by workflow
More Make workflows
FAQ
Does NexGenData have an official Make app? No. This is a Make workflow that uses Make’s official Apify integration to run a NexGenData actor with your own Apify token.
What does it cost? Make’s free tier covers light, ~15-minute-interval scheduling; the actor run is pay-per-use on your own Apify account.
How do I detect only price changes? Store the last run’s prices (in a sheet or Make Data Store) and filter to rows that changed before alerting.