# Learn what buyers love and hate in your category. From reviews on four channels Review mining reads what buyers write across channels and sorts it into themes you can act on. With Agentik, your AI reads Google Shopping and Trustpilot reviews with DataForSEO, TikTok Shop reviews through TikHub, and Reddit threads through ScrapeCreators. - For: Product, e-commerce and brand teams - Providers: 3 (DataForSEO, TikHub and ScrapeCreators), 6 tools - Example (One category in the United States, 3 Google Shopping products’ reviews, 3 TikTok Shop products, 100 Trustpilot reviews, 2 Reddit searches with 5 threads): at most $0.10, 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** (3 tools, at most $0.09): Google Shopping products and their reviews, and a competitor’s Trustpilot reviews. - **TikHub** (1 tool, at most $0.003): TikTok Shop reviews of products in the category. - **ScrapeCreators** (2 tools, at most $0.02): Reddit threads where buyers discuss the category in detail. ## Give this to your agent ```text Use my connected Agentik MCP server for this job: product review mining. Mine reviews in my product category. First ask me for my category, two competitor brands and their domains. Find the top products with dataforseo/google-shopping-products-task and read their reviews with dataforseo/merchant-google-reviews. Read a competitor’s Trustpilot reviews with dataforseo/business-data-trustpilot-reviews. Read TikTok Shop reviews of three products with tikhub/tiktok-shop-web-fetch-product-reviews-v2. Search Reddit with scrapecreators/get-v1-reddit-search and read five threads with scrapecreators/get-v1-reddit-post-comments. Finish with the themes buyers love, hate and wish for, with counts and quotes, and five product or messaging changes. 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 category - Two competitor brands and domains ## What you get: a review report with five changes - Themes buyers love, hate and wish for, with counts - Quotes for each theme - Differences between channels - Five product or messaging changes ## How to mine product reviews in a category in Claude or ChatGPT Prices are the most each call can reserve for this example: One category in the United States, 3 Google Shopping products’ reviews, 3 TikTok Shop products, 100 Trustpilot reviews, 2 Reddit searches with 5 threads. ### 1. Read Google Shopping reviews DataForSEO searches Google Shopping for the category and reads the reviews of the three top products. - [Google Shopping product search task](/tools/dataforseo/google-shopping-products-task.md) `dataforseo/google-shopping-products-task` (DataForSEO, 1 search): at most $0.003 - [Google Shopping product search task](/tools/dataforseo/google-shopping-products-task.md) `dataforseo/google-shopping-products-task` (DataForSEO, the results): free - [Google Shopping reviews](/tools/dataforseo/merchant-google-reviews.md) `dataforseo/merchant-google-reviews` (DataForSEO, 3 products): at most $0.07 - [Google Shopping reviews](/tools/dataforseo/merchant-google-reviews.md) `dataforseo/merchant-google-reviews` (DataForSEO, 3 results): free ### 2. Read Trustpilot A competitor’s latest hundred Trustpilot reviews add the brand side. - [Trustpilot reviews](/tools/dataforseo/business-data-trustpilot-reviews.md) `dataforseo/business-data-trustpilot-reviews` (DataForSEO, 100 reviews): at most $0.02 - [Trustpilot reviews](/tools/dataforseo/business-data-trustpilot-reviews.md) `dataforseo/business-data-trustpilot-reviews` (DataForSEO, the results): free ### 3. Read TikTok Shop reviews TikHub reads TikTok Shop reviews of three products, often from younger buyers. - [TikTok Shop product reviews](/tools/tikhub/tiktok-shop-web-fetch-product-reviews-v2.md) `tikhub/tiktok-shop-web-fetch-product-reviews-v2` (TikHub, 3 products): at most $0.003 ### 4. Read Reddit ScrapeCreators searches Reddit and reads five threads where buyers discuss the category in detail. - [Reddit search](/tools/scrapecreators/get-v1-reddit-search.md) `scrapecreators/get-v1-reddit-search` (ScrapeCreators, 2 searches): at most $0.0038 - [Reddit post comments](/tools/scrapecreators/get-v1-reddit-post-comments.md) `scrapecreators/get-v1-reddit-post-comments` (ScrapeCreators, 5 threads): at most $0.0094 ### 5. Sort the themes Your AI sorts the themes into love, hate and wish, with counts and quotes, and five product or messaging changes. Example total: at most $0.10. Each call is billed for measured usage; unused reservations are released. ## Ask it your way - What do buyers love and hate about electric toothbrushes? - Which complaints come up on every channel for my category? - What features do buyers wish my competitor had? - Give me five product changes from what reviewers say. ## Why through Agentik - Reviews from three channels and Reddit threads come from DataForSEO, TikHub and ScrapeCreators through one connection. - The whole example costs about ten cents. ## Good to know - Review tasks on DataForSEO return results in a few minutes; fetching them is free. - Counts are from the reviews read, not from all reviews ever written. ## When to use something else For continuous review monitoring with sentiment dashboards, use a review analytics platform. This playbook reads one category deeply when you plan a product or a campaign. ## Product review mining: questions ### How many reviews does it read? A few hundred in the example. Counts come from the reviews read, not from every review ever written. ### Why several channels? Each channel has different buyers. A complaint that shows up on all of them is the one to fix first. ### What does the example cost? At most $0.10, reserved before each call and settled at the measured usage. ## Keep going - [Ads from your reviews](/review-to-ad-copy.md): Your customers’ own words from Trustpilot and Reddit, matched to the hooks that run longest in your category, turned into headlines and four static ads. - [Amazon listing rewrite](/amazon-listing-rewrite.md): Your listing next to the products Amazon shows as competitors, the keywords each one ranks for, what buyers complain about on Reddit, and a rewritten title, bullets and infographic. - [App feedback digest](/app-feedback-digest.md): Your latest App Store and Google Play reviews with what people say on Reddit and X, sorted into bugs, feature requests and praise with counts and quotes. - [E-commerce tools for your agent](/tools/ecommerce.md) - [Social tools for your agent](/tools/social.md) - [Research tools for your agent](/tools/research.md) [All playbooks](/playbooks.md) · [Connection guides](/docs/clients.md) · [Billing](/docs/billing.md) --- [HTML page](/product-review-mining) · [Agent index](/llms.txt)