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Feature requests from competitor reviews

Extract "please add…" and "no way to…" requests from public App Store and Google Play reviews of competitor apps, grouped by keyword with short quotes and links. Reviewer names are removed. Free offline mode uses phrase patterns, 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
Feature requests
Text
Number
Boolean
List
Object

Input

Competitors(required):Evernote | appstore:281796108, play:com.evernote+1
Maximum star rating:4

Output fields

Competitor
Feature requests

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 "Feature requests from competitor reviews". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Feature requests from competitor 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 and maximum star rating, to match your specific use case.

Receive the "Feature requests from competitor 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 feature requests.

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 "Feature requests from competitor reviews" task via API.

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Integrate "Feature requests from competitor reviews" into your workflow

Connect "Feature requests from competitor reviews" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

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.