Wildberries Seller Scraper: INN, Address, Trademark, Продавцы
Pricing
from $2.25 / 1,000 result rows
Wildberries Seller Scraper: INN, Address, Trademark, Продавцы
Verify any Wildberries seller's registered company: INN, legal name, address, and trademark from a seller ID or store URL. Or enter a product keyword to discover the real sellers behind matching results. Spot new sellers on a schedule. Парсер продавцов Вайлдберриз for due diligence.
Pricing
from $2.25 / 1,000 result rows
Rating
5.0
(1)
Developer
GetAScraper
Maintained by CommunityActor stats
0
Bookmarked
31
Total users
5
Monthly active users
12 days ago
Last modified
Categories
Security
Limited permissionsShare
| Verify any Wildberries seller's registered legal identity, and find who really sells in a category. Turn a seller ID, store URL, or keyword into the registered company behind it: name, tax ID, address, and trademark. Built for sourcing due diligence, supplier verification, and prospect lists. | |||
| WILDBERRIES DATA SUITE • Seller, product, niche, and review tools for Wildberries | |||
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➤ You are here |
Niche research |
Product tracking |
Ratings, text and buyer photos |
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Verify any Wildberries seller's registered legal identity, and find who really sells in a category Turn a seller ID, store URL, or product keyword into the registered company behind it: name, tax ID, address, and trademark. No login, no guesswork, straight from Wildberries' own public records. |
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🏢 Legal entity data Registered company name, tax ID (INN), address, and trademark, verified from Wildberries' own records |
🔍 Real seller discovery Give it a keyword and get back the actual sellers behind matching products, not a guess |
🔄 Change monitoring Scheduled snapshots that flag new, updated, or unchanged sellers |
📤 Ready to export Download clean JSON, CSV, Excel, or HTML. No login or cookies needed |
Turn a seller ID, store URL, or search keyword into that seller's registered legal identity: company name, tax ID, legal address, and trademark. Built for sourcing due diligence, supplier verification, and lead generation on Russia's largest marketplace. Runs fast and reliably with no login, and exports clean data you can open in Excel, Google Sheets, or your own tools.
🔍 Wildberries seller verification and discovery
This Actor profiles sellers on Wildberries, the largest online marketplace in Russia and the CIS. For each seller it returns the company record Wildberries publishes: display name, full legal name, tax IDs, registered address, and trademark.
Give it a seller ID or store URL and it verifies that specific seller. Give it a search keyword and it finds the real sellers behind the matching products, so you get a list of who actually competes in a category, not a guess from product listings alone.
| ⚡ Know who you're dealing with. No account or login required. Get a seller's registered legal identity from a seller ID, store URL, or keyword, ready to schedule. |
This Actor is built for seller identity and seller discovery. It does not list a seller's products or return sales figures.
💡 Why use Wildberries seller verification?
"I vet suppliers before placing wholesale orders. Seeing the registered legal entity and address before I wire a deposit saves me from fly-by-night stores."
"I build prospect lists for a B2B service. I feed in a category keyword and get back every seller behind the top results, complete with their legal company name and tax ID for outreach and verification."
"I do due diligence on a store before I resell its products. A tax ID and registered address tell me in seconds whether I'm dealing with a real, registered business."
"I track a market over time. I schedule this weekly and watch which new sellers show up for a category keyword. That's a clean signal for who's entering the market."
🚀 How to use Wildberries seller verification
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STEP 1 Add sellers Add seller IDs, seller store URLs, or search keywords. |
STEP 2 Choose scope and mode Cap sellers per keyword and pick a monitoring mode for scheduled runs. |
STEP 3 Start and export Download verified seller profiles as JSON, CSV, Excel, or HTML. |
⚙️ Input
At least one source is required: seller IDs, seller URLs, or search keywords.
| Field | Type | Required | Description |
|---|---|---|---|
sellerIds | array of IDs | No | Wildberries seller IDs (the number in a seller store URL). |
sellerUrls | array of URLs | No | Seller store page URLs. The ID is read from each automatically. |
searchQueries | array of text | No | Product keywords. The Actor finds the real sellers behind matching products and verifies them. |
includeProducts | boolean | No | Adds one extra row per product that matched your keyword and led to a discovered seller (product ID, brand name, and link). Nothing is added for sellers looked up by ID or URL. |
maxSellersPerSearch | integer | No | Cap on how many distinct sellers to discover per keyword. |
maxItems | integer | No | Hard cap on total rows returned. |
region | enum | No | Kept so existing schedules and monitoring history keep working. It does not change the data returned. |
outputMode | enum | No | snapshot returns every seller; snapshot_with_changes adds a NEW or UNCHANGED flag to every seller; changes_only returns only sellers not seen before. |
monitoringStateName | string | No | Keeps the list of already-seen sellers separate for one client, schedule, or project. |
emitBaseline | boolean | No | Return current sellers as NEW on the first changes-only run. Turn off to save a silent baseline. |
changes_only cannot be combined with product rows.
📦 Output
Each seller becomes one dossier row. You can download the dataset as JSON, CSV, Excel, or HTML.
A seller looked up directly by ID or URL returns its legal profile (example shortened):
{"recordType": "seller","supplierId": "1418867","supplierName": "OOO TAYKONG","supplierFullName": "OBSHCHESTVO S OGRANICHENNOY OTVETSTVENNOSTYU TAYKONG","inn": "0800011139","kpp": "771401001","ogrn": "1230800005523","legalAddress": "125315, Moscow, proezd Bolshoy Koptevsky, 3, str. 1","trademark": "JOYCITY","sellerUrl": "https://www.wildberries.ru/seller/1418867","scrapedAt": "2026-10-20T07:56:20.919Z"}
A seller discovered from a search keyword also shows the keyword that surfaced it and the brand names seen in the matching products:
{"recordType": "seller","supplierId": "223033","supplierName": "DA","supplierFullName": "Individual Entrepreneur Abramov Denis Igorevich","inn": "503228673500","sellerUrl": "https://www.wildberries.ru/seller/223033","brands": ["HERBAL COSMETICS"],"sourceQuery": "wireless earbuds","scrapedAt": "2026-10-20T07:56:35.940Z"}
📊 Data table
| Field | Type | Description |
|---|---|---|
supplierId | string | Wildberries seller ID. |
supplierName | string | Seller display name. |
supplierFullName | string | Full registered legal name. |
inn | string | Tax identification number, when published. |
kpp | string | Tax registration reason code, when published. |
ogrn | string | State registration number, when published. |
legalAddress | string | Registered legal address. |
trademark | string | Registered trademark. |
sellerUrl | string | Link to the seller store page. |
taxpayerCode | string | Local tax code for sellers registered outside Russia, when published. |
brands | array | Brand names seen on the products that matched your keyword. Only for sellers found through a keyword. |
sourceQuery | string | The search keyword that surfaced this seller, when applicable. |
scrapedAt | string | Timestamp of the run. |
Rows also carry a few housekeeping fields (catalogDataAvailable, always false, with a short note beside it, plus scannedProducts and brandCount counting the keyword sample). They are kept so existing integrations keep working and carry no seller data.
With product rows enabled, extra rows carry nmId, brand, productUrl, and sourceQuery for each product that matched your keyword. Only fields Wildberries' public records provide are returned; empty values are left out.
🔄 Seller monitoring
Run the same keywords on a schedule to spot new sellers entering a category. The list of already-seen sellers is kept per monitoring state name, so runs stay comparable over time.
snapshotis the default and returns every seller found.snapshot_with_changesreturns every seller with aNEW,UPDATED, orUNCHANGEDflag plusfirstSeenAtandlastSeenAt.changes_onlyreturns onlyNEWandUPDATEDsellers. SetemitBaselineto false when the first run should save the list without returning rows.
NEW means the seller was not seen in an earlier run with the same state name. UPDATED appears when the brand names found for that seller through your keyword change, along with brandsAdded and brandsRemoved. Changes to a seller's registered company details are not tracked. A successful changes_only run with zero rows simply means nothing new turned up. It is not an error.
Legal-profile fields are best-effort because Wildberries legitimately omits them for some sellers, most often sole proprietors.
💰 How much does Wildberries seller verification cost?
Pricing is pay per result, so you only pay for the data you actually get. There are no subscriptions and no monthly fees. Each seller is billed as one result, and you can cap spend per run with the maximum total rows setting.
⭐ Enjoying Wildberries Seller Scraper?
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⭐ ⭐ ⭐ ⭐ ⭐ Glad this Actor helped you verify a Wildberries seller's real identity before you did business with them. A 5-star rating takes 10 seconds and helps other sourcing teams and researchers find it. Your feedback also tells us what to build next. |
| ★ Rate this Actor on Apify |
✨ Tips
- Use search keywords when you want to know who competes in a category; use a direct seller ID or URL when you already know the store you need to verify.
- Turn on product rows only for keyword searches; they add nothing for sellers supplied directly by ID or URL.
- Keep the monitoring state name stable across scheduled runs so only truly new sellers are flagged.
❓ FAQ
Is it legal to scrape Wildberries seller data?
This Actor collects publicly available marketplace and business-registry information that Wildberries already shows on its own pages. You are responsible for following Wildberries' terms and any data-protection laws that apply to how you use the data.
Why are some legal fields empty for a seller?
Wildberries publishes different details for different sellers. Sole proprietors, for example, often have no registration code or legal address. Missing values are left out rather than filled with fake placeholders, so every field you see is real.
Do I need an account or login for the target site?
No. You do not need any Wildberries login or cookies. Just provide sellers or keywords and run it.
Does it return a seller's products, sales figures, or customer feedback?
No. This Actor returns who the seller is as a registered business (name, tax ID, address, trademark), and for keyword searches which sellers show up. It does not list a seller's products or return sales figures. For keyword product search, see Wildberries Product Catalog Scraper; for customer feedback, see Wildberries Reviews Scraper.
Что такое аналитика продавцов Вайлдберриз?
Аналитика продавцов Вайлдберриз is seller-level marketplace research; here it means checking who is behind a store. This Actor returns a public seller's registered legal identity (name, tax ID, address, trademark) from a seller ID, store URL, or product keyword.
Can I use this as a парсер продавцов Wildberries?
Yes. Provide seller IDs, Wildberries store URLs, or product keywords. The Actor discovers and verifies matching sellers, then returns structured legal-entity data for supplier research, competitor discovery, or monitoring.
Found a problem or need another field?
Open a ticket on the Issues tab of this Actor. Custom data fields and tailored solutions are available on request.
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