Turn raw review scraper exports into a weekly action queue.
A first-run workflow for teams already collecting public reviews with Apify scrapers and needing theme tags, response priorities, proof quotes, and owner-ready follow-up rows.
Agencies, marketplace teams, product marketers, and reputation operators using review scraper exports
Review scrapers collect useful text, but buyers still have to turn rows into response work, listing fixes, proof quotes, and battlecard updates.
source-specific review rows become prioritized themes, response drafts, proof snippets, and workflow-owner queues.
Start with a scraper export
Paste a small set of public review rows from Google Maps, Amazon, Trustpilot, or another source.
Normalize the next step
Classify themes, urgency, proof quotes, and response needs before handing work to a person or queue.
Route by owner
Send response drafts, listing fixes, product issues, and proof snippets to the right weekly workflow.
Start narrow, then connect the workflow.
Open a small sample first. Once the output fits the job, connect the matching scraper dataset or schedule.
| Actor | Buyer | Link |
|---|---|---|
| Local Review Intelligence Monitor | Local SEO agencies, reputation managers, franchises, multi-location operators | Store |
| Google Maps Review Intelligence Monitor | Local SEO agencies, reputation managers, franchises, multi-location operators | Store |
| Amazon Review Intelligence Monitor | Ecommerce sellers, marketplace operators, agencies, product teams | Store |
| Trustpilot Review Intelligence Monitor | Brand marketers, reputation managers, ecommerce operators, support leaders | Store |
Built for specific buyer queries.
This page exists to answer focused workflow searches before routing the buyer to a sample-led Store path.
| Query shape |
|---|
| Apify review scraper analysis workflow |
| turn review scraper output into action queue |
| review scraper sentiment action queue |
Preview the output before opening the Store page.
These public-safe GIFs show the first-run sample becoming the buyer-facing workflow artifact.
Turn two local reviews into a response queue.
The Store sample uses fictional Northstar Dental reviews, so a buyer can inspect complaint themes, urgency, recommended action, and proof quote flow before connecting a scraper dataset.
Turn two Google Maps reviews into response work.
The sample uses fictional local-business reviews, so a buyer can inspect themes, urgency, response direction, recommended action, and proof quote flow before connecting a scraper dataset.
Turn two Amazon reviews into seller actions.
The sample shows how marketplace reviews become product-quality themes, listing actions, operations follow-ups, seller-response tasks, and proof quotes without starting with a broad production export.
Turn two Trustpilot reviews into reputation actions.
The sample keeps the first run small, so a buyer can see support themes, proof quotes, response direction, and weekly reputation actions before adding a larger review export.
Choose the weekly handoff this Actor will produce before running another export.
Show the safe input, scored rows, and the exact team handoff for Monday.
Anchor each use case to one Actor, one sample, and one output artifact.
Need this adapted before the first run?
Send a public-safe workflow request if the sample, setup, or output handoff needs a variant.
Keep requests public-safe: no credentials, private URLs, customer data, emails, or sensitive business data.