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Review Response: Sample Priority Ranking

Rank fictional locations and recurring issues from synthetic review records. Use permitted datasets; do not export reviewer identities or claim live scraping.

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Review Response Prioritizer by Location
Review Response Prioritizer by Locationpractical_ai_lab_jp/pal-maps-reviews-response-prioritizer
Type
Rank
Location
Priority score
+8 fields
Text
Number
Boolean
List
Object

Input

Reviews(required)
locationName:Harbor Cafe+11
rating:1+11
publishedAt:2026-10-20+11
text:Long wait and the staff were rude.+11
Recent window (days):30
Low rating threshold:2
Recurring issue minimum:2
Use built-in topics:true
Max locations in output:50
Max reviews processed:20000

Output fields

Type
Rank
Location
Priority score
Recent reviews
Recent low ratings
Recent avg
Prior avg
Change
Recurring issues
Confidence
Caveat

How it works

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The Review Response Prioritizer by Location Actor is ready to run with the inputs already set for "Review Response: Sample Priority Ranking". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Review Response: Sample Priority Ranking" task

The Review Response Prioritizer by Location Actor will start running based on the input automatically. You can also change all the input fields, like reviews, recent window (days), and more, to match your specific use case.

Receive the "Review Response: Sample Priority Ranking" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, rank, location, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Review Response: Sample Priority Ranking" task via API.

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