# Read what users say about your app this week. Store reviews, Reddit and X in one digest An app feedback digest gathers what users say in public and sorts it into what to fix, build and keep. With Agentik, your AI reads your latest App Store and Google Play reviews with DataForSEO, Reddit threads through ScrapeCreators and posts through the X API. - For: Product managers, mobile teams and founders - Providers: 3 (DataForSEO, ScrapeCreators and X), 4 tools - Example (One app on both stores, 200 reviews each, 2 Reddit searches, 50 posts on X): at most $0.78, computed from the live catalog - Updated: 2026-10-10 ## Each provider does one part No single provider covers this job. Through Agentik your AI calls each one for its part, from one connection and one prepaid balance. - **DataForSEO** (2 tools, at most $0.03): Your latest App Store and Google Play reviews. - **ScrapeCreators** (1 tool, at most $0.0038): Reddit threads that mention your app. - **X** (1 tool, at most $0.75): Recent posts about your app on X. ## Give this to your agent ```text Use my connected Agentik MCP server for this job: app feedback digest. Write my app’s feedback digest. First ask me for my App Store ID, my Google Play ID, my app’s name and my country. Read the latest reviews with dataforseo/app-data-apple-app-reviews and dataforseo/app-data-google-app-reviews. Read Reddit with scrapecreators/get-v1-reddit-search and X with x/search-recent. Finish with bugs, feature requests and praise (each with a count, quotes and the platform), what changed since the last version, and the five things to fix or build first. Before running anything, inspect each tool with inspect_tool, ask me for any input you don’t have instead of inventing it, and tell me the total price. Wait for my go. At the end, tell me what Agentik charged. ``` ## You provide - Your App Store and Google Play IDs - Your app’s name - Country ## What you get: a feedback digest with five priorities - Bugs, requests and praise with counts - Quotes for each theme - What changed since the last version - Five priorities ## How to build an app feedback digest in Claude or ChatGPT Prices are the most each call can reserve for this example: One app on both stores, 200 reviews each, 2 Reddit searches, 50 posts on X. ### 1. Read store reviews DataForSEO reads your latest 200 App Store and 200 Google Play reviews; the results come back in a few minutes, and fetching them is free. - [App Store app reviews](/tools/dataforseo/app-data-apple-app-reviews.md) `dataforseo/app-data-apple-app-reviews` (DataForSEO, 200 reviews): at most $0.02 - [App Store app reviews](/tools/dataforseo/app-data-apple-app-reviews.md) `dataforseo/app-data-apple-app-reviews` (DataForSEO, the results): free - [Google Play app reviews](/tools/dataforseo/app-data-google-app-reviews.md) `dataforseo/app-data-google-app-reviews` (DataForSEO, 200 reviews): at most $0.0045 - [Google Play app reviews](/tools/dataforseo/app-data-google-app-reviews.md) `dataforseo/app-data-google-app-reviews` (DataForSEO, the results): free ### 2. Read Reddit and X ScrapeCreators searches Reddit for threads about your app, and the X API returns the latest posts about it. - [Reddit search](/tools/scrapecreators/get-v1-reddit-search.md) `scrapecreators/get-v1-reddit-search` (ScrapeCreators, 2 searches): at most $0.0038 - [X recent search](/tools/x/search-recent.md) `x/search-recent` (X, 50 posts): at most $0.75 ### 3. Write the digest Your AI sorts bugs, requests and praise with counts and quotes, says what changed since the last version and names five priorities. Example total: at most $0.78. Each call is billed for measured usage; unused reservations are released. ## Ask it your way - What are users complaining about in my app this week? - Which features do users ask for most in reviews and on Reddit? - Did the last update fix the complaints, or create new ones? - Give me five priorities from this week’s feedback. ## Why through Agentik - Store reviews, Reddit and X come from DataForSEO, ScrapeCreators and the X API through one connection. - X posts are most of the price, billed per post returned; store reviews cost about two cents. ## Good to know - Store review tasks return results in a few minutes; fetching them is free. - Counts come from the reviews read, not from all reviews. ## When to use something else For in-app feedback and surveys, use a product feedback tool. This playbook reads what users say in public, weekly. ## App feedback digest: questions ### Are the counts complete? No. They come from the reviews and posts read, not from every review ever written. ### Can I run it every week? Yes. Fewer X posts make it cheaper; your agent quotes each run first. ### What does the example cost? At most $0.78, mostly the X posts. ## Keep going - [App Store keyword plan](/aso-keyword-plan.md): Your app’s listing, the App Store keywords it and its closest competitor rank for, the competing apps, and the “best app” articles people read, turned into a new title, subtitle and keyword field. - [Product review mining](/product-review-mining.md): Reviews of your product category from Google Shopping, TikTok Shop and Trustpilot, plus Reddit threads, sorted into what buyers love, hate and wish for. - [Launch day monitor](/launch-day-monitor.md): Your launch’s Hacker News thread, the posts on X and Reddit, and the press, read together every few hours with the questions to answer now. - [Social tools for your agent](/tools/social.md) - [SEO tools for your agent](/tools/seo.md) - [Research tools for your agent](/tools/research.md) [All playbooks](/playbooks.md) · [Connection guides](/docs/clients.md) · [Billing](/docs/billing.md) --- [HTML page](/app-feedback-digest) · [Agent index](/llms.txt)