Alibaba & 1688 Supplier Risk Check: UFLPA, Entity List
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from $0.01 / 1,000 results
Alibaba & 1688 Supplier Risk Check: UFLPA, Entity List
Screen the suppliers in your 1688, Alibaba or Made-in-China scraper results: UFLPA forced-labour Entity List, US Entity List and export controls, EU/UN/UK/US sanctions, and the USCC licence code when present. Give a dataset ID. Pay per unique supplier.
Pricing
from $0.01 / 1,000 results
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Matthew Sammels
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Alibaba & 1688 Supplier Risk Check
Alibaba & 1688 Supplier Risk Check screens every supplier in your 1688, Alibaba, Taobao, Tmall or Made-in-China scraper results against the lists that stop shipments: the UFLPA forced-labour Entity List, the US Entity List and other export controls, and EU, UN, UK and US sanctions. Point it at a dataset, get one row per unique supplier with a verdict: pass, review or block_review.
Built for product researchers, dropshippers, Amazon FBA sellers, sourcing agents and anyone who scrapes Chinese marketplaces before they buy.
How to use it
- Run your favourite 1688, Alibaba, Taobao or Made-in-China scraper on Apify.
- Copy its dataset ID (Storage, Datasets) into the Dataset ID field. Supplier names are found automatically in fields like supplierName, companyName, shopName, sellerName and sellerNick.
- Click Start. Each unique supplier is checked once and gets a verdict.
Or paste supplier names (with the USCC code from the business licence, if you have it) into Or: suppliers.
Scraping every week? Call this actor from your own code or workflow after each scrape, with the new dataset ID (example below).
Output
| Supplier | Verdict | Flags |
|---|---|---|
| Huawei Technologies Co., Ltd. | block_review | possible match on BIS Entity List (score 100) |
| Alibaba (China) Co., Ltd. | pass |
With a USCC code the row also shows whether the code is valid and the province (Xinjiang registrations are flagged).
How much does it cost?
$0.01 per unique supplier. Duplicates in your dataset are checked once and failed lookups are free. A scrape of 2,000 products from 300 shops costs $3.
Use it from code and AI agents
from apify_client import ApifyClientclient = ApifyClient("<YOUR_APIFY_TOKEN>")run = client.actor("factline/alibaba-1688-supplier-risk-check").call(run_input={"datasetId": "<YOUR_SCRAPER_DATASET_ID>"})for row in client.dataset(run["defaultDatasetId"]).iterate_items():print(row)
AI agents can call it through the Apify MCP server, and Make, Zapier and n8n through their Apify modules.
FAQ
Do you scrape Alibaba or 1688? No. You bring the rows; this actor only screens them.
Why do Taobao sellers rarely match? Tmall and 1688 shops are companies. Taobao and Xianyu sellers are often individuals, so they are seldom on a company list.
Is a pass a clearance? No. Confirm possible matches against the official list. A clean result does not cover the supplier's own suppliers.
Want register checks too? Add the USCC per supplier, or use Chinese Supplier Check for a deeper check of a shortlist.
Factline Data: official records as ready-made tools. Every row names its source.