Alibaba & 1688 Supplier Risk Check: UFLPA, Entity List avatar

Alibaba & 1688 Supplier Risk Check: UFLPA, Entity List

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from $0.01 / 1,000 results

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Alibaba & 1688 Supplier Risk Check: UFLPA, Entity List

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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Developer

Matthew Sammels

Matthew Sammels

Maintained by Community

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1

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10 hours ago

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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

  1. Run your favourite 1688, Alibaba, Taobao or Made-in-China scraper on Apify.
  2. 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.
  3. 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

SupplierVerdictFlags
Huawei Technologies Co., Ltd.block_reviewpossible 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 ApifyClient
client = 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.