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Find top complaints in a competitor's app reviews

Pull recent 1–3★ App Store and Google Play reviews for up to 5 competitor apps and get ranked complaint themes with counts, severity, trend and short quotes with links. Reviewer names are removed. Free offline mode uses keyword themes, not AI.

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Competitor Complaint Miner: App Store & Google Play Reviews
Competitor Complaint Miner: App Store & Google Play Reviewsdamodaran_dhanuauraman/competitor-complaint-miner
Competitor
Themes
Text
Number
Boolean
List
Object

Input

Competitors(required):Todoist | https://apps.apple.com/us/app/todoist-to-do-list-planner/id572688855, play:com.todoist+1
Max reviews per competitor:20
Maximum star rating:3

Output fields

Competitor
Themes

How it works

Sign up on Apify or log in

The Competitor Complaint Miner: App Store & Google Play Reviews Actor is ready to run with the inputs already set for "Find top complaints in a competitor's app reviews". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Find top complaints in a competitor's app reviews" task

The Competitor Complaint Miner: App Store & Google Play Reviews Actor will start running based on the input automatically. You can also change all the input fields, like competitors, max reviews per competitor, and more, to match your specific use case.

Receive the "Find top complaints in a competitor's app 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 competitor and themes.

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 "Find top complaints in a competitor's app reviews" task via API.

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Integrate "Find top complaints in a competitor's app reviews" into your workflow

Connect "Find top complaints in a competitor's app reviews" with 100+ integrations, or run it via API or MCP.

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Apify MCP

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GitHub

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LlamaIndex

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Flowise

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Pinecone

OpenAI

OpenAI

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Mastra

Clay

Clay

Frequently asked questions

In free offline mode the Competitor Complaint Miner groups reviews by keyword lexicon and frequent phrases, not AI. Optional AI mode uses your own LLM key and has so far been tested only against sample responses.

The Competitor Complaint Miner's Trustpilot source is experimental and currently blocked by anti-bot checks (never charged). G2 and Capterra are not supported.

No. The Competitor Complaint Miner removes reviewer names, avatars and user IDs from every output. Quotes are short (up to 200 characters) and each links back to its public source.

The Competitor Complaint Miner charges $0.0015 per review collected plus $0.30 per competitor insight report. Empty or failed sources are free, and a run stops at your spend limit.