Learn what buyers love and hate in your category

Reviews of your product category from Google Shopping, TikTok Shop and Trustpilot, plus Reddit threads, sorted into what buyers love, hate and wish for.

Steps

At most, per call

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.

Step 1: Read Google Shopping reviews
DataForSEO searches Google Shopping for the category and reads the reviews of the three top products.
Step 2: Read Trustpilot
A competitor’s latest hundred Trustpilot reviews add the brand side.
- Trustpilot reviewsDataForSEO · 100 reviews$0.02
- Trustpilot reviewsDataForSEO · the resultsFree
Step 3: Read TikTok Shop reviews
TikHub reads TikTok Shop reviews of three products, often from younger buyers.
- TikTok Shop product reviewsTikHub · 3 products$0.003
Step 4: Read Reddit
ScrapeCreators searches Reddit and reads five threads where buyers discuss the category in detail.
- Reddit searchScrapeCreators · 2 searches$0.0038
- Reddit post commentsScrapeCreators · 5 threads$0.0094
Step 5: Sort the themes
Your AI sorts the themes into love, hate and wish, with counts and quotes, and five product or messaging changes.
Your agent does this part, with no tool call.

Cost of the example

At most $0.10one run

One category in the United States, 3 Google Shopping products’ reviews, 3 TikTok Shop products, 100 Trustpilot reviews, 2 Reddit searches with 5 threads.

Give this to your agent

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.

3 providers, one connection

What you get

A review report with five changes.

You provide

Your category
Two competitor brands and domains

Your agent returns

Themes buyers love, hate and wish for, with counts
Quotes for each theme
Differences between channels
Five product or messaging changes

ThemesExample layout

Theme	Love or hate	Where
Battery life	Love	Google Shopping
Brush head price	Hate	Reddit
Travel case	Wish	TikTok Shop

Placeholders. Your rows come from your run.

Each provider does one part

No single provider covers this job. Your agent calls each one for its part, from one connection.

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.

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.

Connect your agent to 2,400+ tools for free

Get $5 free credit Get $5 free credit