E-commerce Product Matching Tool

Under maintenance

Pricing

Pay per event

Try for free

Go to Apify Store

E-commerce Product Matching Tool

Under maintenance

Try for free

Developed by

Tri⟁angle

Maintained by Community

Quickly find and rank matching products from two sources using intelligent similarity search. This actor works with pre-built product data to identify the best matches. Use it after uploading your dataset to the vector database with the Product Matching Vectorizer.

0.0 (0)

Pricing

Pay per event

Last modified

4 days ago

Automation

E-commerce

KV Store ID A

kvStoreIdAstringRequired

ID of the first Key-Value Store containing vectorized products (created by product-matching-vectorizer actor)

KV Store ID B

kvStoreIdBstringRequired

ID of the second Key-Value Store containing vectorized products to match against

Top K Matches

topKintegerOptional

Number of top matches to return per product from Store A

Default value of this property is 5

Similarity Threshold

similarityThresholdintegerOptional

Minimum similarity score to consider a match (0-100, will be divided by 100)

Default value of this property is 75

Maximum Items

maxItemsintegerOptional

Maximum number of products to process from Store A (optional, no limit if not specified)

Save Matches Only

matchesOnlybooleanOptional

If true, save only matches where similarity >= threshold. If false, save all results including non-matches.

Default value of this property is false

Product Matching Vectorizer

tri_angle/product-matching-vectorizer

Builds a FAISS vector database from products in an Apify dataset using an ONNX embedding model. The resulting index is saved to a Key-Value Store for fast similarity search. After uploading your dataset to the vector database, use our E-commerce Product Matching Tool to find matching products.

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