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Compare store wait times and cleanliness from reviews

Run a fictional two-location review sample to compare mentions of waiting time and cleanliness, with counts and small-sample warnings. Supply reviews you have permission to analyze for real results. This task does not scrape Google Maps. Check live Apify pricing before running.

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Maps Reviews Issue Matrix by Location
Maps Reviews Issue Matrix by Locationpractical_ai_lab_jp/pal-maps-reviews-issue-matrix
Location
Topic
Reviews
Mentions
+7 fields
Text
Number
Boolean
List
Object

Input

Inline review rows
location:Harbor Cafe - North+9
text:Long wait at the counter, but the coffee was great.+9
stars:3+9
Built-in issue topics:wait_time+1
Minimum reviews per location:5
Minimum mentions shown per cell:2

Output fields

Location
Topic
Reviews
Mentions
Prevalence %
Peers %
Diff (pts)
q-value
Direction
Status
Sample note

How it works

Sign up on Apify or log in

The Maps Reviews Issue Matrix by Location Actor is ready to run with the inputs already set for "Compare store wait times and cleanliness from reviews". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Compare store wait times and cleanliness from reviews" task

The Maps Reviews Issue Matrix by Location Actor will start running based on the input automatically. You can also change all the input fields, like inline review rows, built-in issue topics, and more, to match your specific use case.

Receive the "Compare store wait times and cleanliness from reviews" 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 location, topic, reviews, 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 "Compare store wait times and cleanliness from reviews" task via API.

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Integrate "Compare store wait times and cleanliness from reviews" into your workflow

Connect "Compare store wait times and cleanliness from reviews" with 100+ integrations, or run it via API or MCP.

Webhook

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n8n

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Make

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Zapier

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Airbyte

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Keboola

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IFTTT

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Hubspot

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GDrive

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Gmail

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Apify MCP

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GitHub

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Slack

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LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay

Frequently asked questions

No. The task compares keyword-topic mentions in reviews you supply and are authorized to process. It never fetches Google Maps reviews.

The included fictional example has only five reviews per location for demonstration. For real comparisons, at least 100 reviews per location is a useful starting point.

No. It counts issue-topic keyword mentions, not sentiment. Negation and sarcasm are not handled, so a mention is not necessarily a complaint.