Restaurant review bombing and fake review check

Created by

Ghulam Nabi

Actor

Review Policy Auditor: 1-star review violations & briefs

Sample restaurant: bursts of near-identical 1-star reviews, off-topic politics, competitor attacks and wrong-business reviews, with evidence.

Try for free

Review Policy Auditor: 1-star review violations & briefstranslucent_wire/unfair-review-policy-auditor

Record type

Business name

Reviewer name

Rating

+10 fields

Input

Reviews

businessName:Casa Verde Trattoria+6

reviewerName:Dana W.+6

rating:2+6

reviewDate:2026-08-30+6

reviewText:We ordered the lasagna and the carbonara on Friday at 8pm. The pasta was cold and the server took 40 minutes to bring the bill. Nice room, but the service needs work.+6

reviewerReviewCount:22+6

Business profiles (optional, improves accuracy)

businessName:Casa Verde Trattoria

businessCategory:Italian restaurant

businessPhone:(312) 555-0187

staffNames

competitorNames

otherBusinessNames

Maximum takedown briefs:1

Maximum business reports:0

Output fields

Record type

Business name

Reviewer name

Rating

Review date

Removal score

Verdict

Policies

Burst group

Review text

Flag text

Public response

Takedown brief

Review

How it works

Sign up on Apify or log in

The Review Policy Auditor: 1-star review violations & briefs Actor is ready to run with the inputs already set for "Restaurant review bombing and fake review check". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Restaurant review bombing and fake review check" task

The Review Policy Auditor: 1-star review violations & briefs Actor will start running based on the input automatically. You can also change all the input fields, like reviews, business profiles (optional, improves accuracy), and more, to match your specific use case.

Receive the "Restaurant review bombing and fake review check" 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 record type, business name, reviewer name, 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 "Restaurant review bombing and fake review check" task via API.