Whatnot Seller Reviews Scraper

Paste Whatnot usernames or profile links and get each seller's written reviews: one row per seller with up to 500 of its newest reviews inside, or one row per review if you'd rather. Every review carries its overall, shipping, packaging and accuracy stars, what the buyer wrote and when, who wrote it, and the seller's reply.

Whatnot only lists reviews that have text. The rating count on a seller's profile also counts ratings left without a word, so expect far fewer reviews than that number: a seller showing 6,747 ratings had 1,791 written reviews.

🔍 What Whatnot Seller Reviews Scraper does

You give it sellers and pick a shape. With One row per on Seller, each seller is a single row: its username, rating and rating count once, then up to 500 of its newest reviews in a reviews list. That row costs the same whether it holds 8 reviews or 500. On Review, every review is a row of its own with the seller's fields repeated on it, priced per review.

Each review is checked before it goes in. It has to belong to the seller you asked for, it can't be a repeat, and with a date set it has to be on or after it.

Big sellers have thousands of written reviews. One with about 66,000 ratings had 11,877, going back to August 2022. A seller row takes the newest 500; one row per review goes as far back as you let it.

📋 What data you get from each Whatnot seller

▶️ How to scrape Whatnot seller reviews

1. Open Whatnot Seller Reviews Scraper and click Try for free. 2. Paste usernames or profile links into Sellers, one per line. 3. Leave One row per on Seller, or switch it to Review. 4. Set Reviews per seller (500 fills a seller row), and Reviews since if you only want recent ones. Click Start. 5. Download the dataset as JSON, or read it through the Apify API.

Start it with no sellers to see the row shape first: one labelled sample row, not charged.

💰 How much does it cost to scrape Whatnot seller reviews?

$0.93 per 1,000 seller rows, each holding up to 500 reviews, and $0.95 per 1,000 reviews when you take one row per review. Flat on every Apify plan, no volume tiers. On the free plan, the $5 Apify gives you each month covers about 5,370 seller rows, or about 5,260 reviews.

Note rows and the sample row are free, and so are sellers with no written reviews or none since your date. If you set a maximum charge for the run, it stops before anything it couldn't pay for.

On big sellers the shape decides the bill. The newest 500 reviews of that 66,000-rating seller cost $0.00093 as one seller row and about $0.48 as 500 review rows. All 11,877 of them come to about $11.28.

📥 What you give it

{
  "sellers": ["pokemonwizard", "unovagirls", "cardson6th"],
  "oneRowPer": "seller",
  "maxReviewsPerSeller": 500
}

Another date format is refused before the run starts, so "last week" or "09/01/2026" won't run. A date like 2026-04-31, or one in the future, stops the run before anything is fetched. A link to a listing or a show isn't a seller, so it's skipped with a note and the run goes on.

📤 What you get back

A real seller row from a test run on 3 October 2026, cut to two of its 500 reviews:

{
  "sellerUsername": "unovagirls",
  "sellerRating": 5,
  "sellerRatingCount": 6747,
  "sellerReviewsUrl": "https://www.whatnot.com/user/unovagirls/reviews",
  "reviewsInRow": 500,
  "scrapedAt": "2026-10-03T05:56:32.502Z",
  "reviews": [
    {
      "reviewId": "U2VsbGVyUmV2aWV3Tm9kZTo0ODgwMTc2NDA6NjgyMzExOToyNDQxNTM0MA==",
      "overallRating": 5,
      "averageRating": 5,
      "shippingRating": 5,
      "packagingRating": 5,
      "accuracyRating": 5,
      "text": "Card came in as shown & well protected during transport.",
      "sellerResponse": null,
      "reviewedAt": "2026-10-02T13:59:06.000Z",
      "reviewerUsername": "spacecowboy99"
    },
    {
      "reviewId": "U2VsbGVyUmV2aWV3Tm9kZTozNDQwNzQyODM6NjgyMzExOTo0MDcwOTYx",
      "overallRating": 5,
      "averageRating": 5,
      "shippingRating": 5,
      "packagingRating": 5,
      "accuracyRating": 5,
      "text": "Great cards, quality as stated, and quick shipping!! and they make some awesome lenticulars",
      "sellerResponse": "Thank you so much for your kind words. So glad you like the lenticular.",
      "reviewedAt": "2026-04-25T20:42:54.000Z",
      "reviewerUsername": "packm4n"
    }
  ]
}

One row per review gives rows like this one, from the same morning:

{
  "reviewId": "U2VsbGVyUmV2aWV3Tm9kZTo0Mzc0OTA3Mzc6NjgyMzExOToxMzExNjMz",
  "sellerUsername": "unovagirls",
  "overallRating": 5,
  "averageRating": 5,
  "shippingRating": 5,
  "packagingRating": 5,
  "accuracyRating": 5,
  "text": "always a joy spending the evening with the unovagirls! thanks for always packaging my items with care and always having unique items for us buyers!",
  "sellerResponse": "Thank you & we appreciate you so much!!",
  "reviewedAt": "2026-08-18T22:40:27.000Z",
  "reviewerUsername": "zoayna",
  "sellerRating": 5,
  "sellerRatingCount": 6747,
  "sellerReviewsUrl": "https://www.whatnot.com/user/unovagirls/reviews",
  "scrapedAt": "2026-10-03T05:54:32.766Z"
}

🧾 Reading the output

The sample row is a real review in the shape you picked, and only turns up when you give no sellers.

To keep only the data, drop the rows where _diagnostic is true. RUN_REPORT in the run's key-value store lists each seller with its status, and why the run stopped.

Seller rows are made for JSON and the API. A CSV or Excel download stops at 2,000 columns, which cuts a seller row off after its 199th review. For a spreadsheet, pick one row per review, or add unwind=reviews to the dataset's API link to get one line per review with the seller's fields beside it.

💡 What people use it for

• Checking a seller before a big buy or a box break: their last 500 reviews and the replies, in one row.
• Comparing every seller in a category on shipping, packaging and accuracy. A hundred sellers is a hundred rows.
• Watching your own shop. Schedule it daily with Reviews since at 2 days and keep the reviewIds you haven't

seen.

• Feeding review text into sentiment analysis, one row per review.

From a search to a shortlist, in three runs:

1. Run Whatnot Scraper on a search word in your category and copy the sellerUsername column of its listing rows. 2. Paste those usernames here and sort the seller rows on sellerRating and sellerRatingCount. 3. Put the sellers you keep into Whatnot Scraper's sellerUsernames to see what each has listed now.

🚧 What it does not do

• No ratings without words. Whatnot doesn't list them. They are counted in sellerRatingCount.
• No more than 500 reviews in a seller row. For a full history, take one row per review, up to 20,000 a run.
• No item or order. A Whatnot review doesn't say what was bought or what it cost.
• Nothing about the reviewer beyond the username.
• No rating filter. Whatnot lists newest first and no other way, so filter on overallRating afterwards.
• Not reviews a user left for others. Only the reviews a seller received.
• The very largest sellers can stop short. Now and then Whatnot won't hand over the older reviews of a seller with

hundreds of thousands of ratings. A free note row says how far it got; a short seller row is still charged as a row.

🧭 Which Whatnot scraper do you need?

❓ Questions people ask

Do I need a Whatnot account to get seller reviews?

No. No login and no API key, just the usernames.

Why are there fewer reviews than the rating count on the profile?

Whatnot's count covers every rating; its list holds the written ones, a sixth to a third of the ratings on the sellers we tried. Open the seller's reviews page in a private browser window: what a logged-out visitor sees there is what comes back.

Should I get one row per seller or one row per review?

Seller rows for many sellers at little cost. One row per review for more than 500 from one seller, for a spreadsheet, or for just a few reviews.

Can I call it from code or connect it to an AI assistant?

Yes. The API tab has code for Python, JavaScript and the command line. For Claude, ChatGPT or another MCP client, connect https://mcp.apify.com/?tools=fetch-actor-details,dami_studio/whatnot-reviews-scraper. Either way it runs on your Apify account at the same price.

Is scraping Whatnot reviews legal?

The reviews are public, but reviewer usernames are personal data under GDPR and similar laws, and Whatnot's terms restrict automated use, so have a reason and read them. Apify's write-up on scraping and the law is a starting point; we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page and send the run ID and the usernames you used. The status message and RUN_REPORT say which seller fell short.