Review monitoring used to mean watching star ratings on a few shop pages. Today a lot of the verdict on a product is written somewhere else: in the comments under a creator's video, under the brand's own launch post, in a Reddit thread titled "is it worth it?". Those reviews are longer and more honest than a star rating, and they show up earlier. The trick is collecting them regularly.
Where reviews live now
On the shop itself
If you sell on TikTok Shop, has a Product reviews mode that collects the customer reviews of each product you list. A Product details mode returns the product's title, price, seller, rating and sales, which gives you the headline numbers to go with the review text. Run both for your own products and for two or three close competitors.
Under posts and videos
Comment threads are review threads in disguise. Customers answer a launch post with "mine broke after a week" or "best thing I bought this year".
- Facebook Comments Scraper collects the public comments on Facebook posts, reels and videos.
- does the same for Instagram posts and reels.
- collects comments on TikTok videos, including creator videos that feature your product.
- collects the comments on Snapchat Spotlight videos.
In long discussions
searches public Reddit posts by keyword, across the site or inside one subreddit. Search for your product name plus words like "review", "worth it", "problem" or "vs". Reddit posts are long and specific, so a handful of them can tell you more than a hundred star ratings.
A weekly review routine
- Make a source list. Your product pages on the shop, your last ten brand posts on each platform, the ten most viewed creator videos about the product, and three Reddit searches.
- Save each source as an Apify task and put them on one weekly schedule.
- Merge into one sheet with columns for source, date, text and likes. Remove rows you have already seen by
their
id. - Tag each new review: praise, complaint, question, or other. Add a second tag for the topic: size, quality, shipping, price, support.
- Report three numbers and three quotes: new reviews this week, share of complaints, the most common complaint topic, and one quote for each of the top three topics.
What good review monitoring catches
- A product fault. Five comments in one week saying the same clasp breaks is a pattern a star average hides for months.
- A misunderstanding. Many questions about how to set something up point at a missing step in the manual, not a bad product.
- A shipping problem. Complaints about late delivery spike in one region before support tickets do.
- A creator effect. A popular video can bring a wave of first-time buyers with different expectations. Their comments tell you whether the product page sets them right.
Over a quarter, these notes add up to a list of fixes ranked by how often customers raised them, which is the most useful thing review monitoring can hand a product team.
Tips
- Sort by likes. A complaint with 400 likes is a complaint 400 people agreed with.
- Keep negative reviews in full. The detail is what makes them useful to a product team.
- Watch competitors too. Their recurring complaints are your opportunity.
- Do not over-count. One angry thread can produce many comments from a few people; count distinct authors when the number matters.
All of these tools read public reviews and comments only, run on Apify and are paid through your Apify account. Each Store page lists the current price per 1,000 results and what the free plan includes.