Product Taxonomy Mapper API
Pricing
$2.00 / 1,000 mapped product rows
[💵 $2 / 1K] Map product catalogs to any custom taxonomy with confidence scores, alternatives, and review flags.
Pricing
$2.00 / 1,000 mapped product rows
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WebData Labs
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2 days ago
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You can access the Product Taxonomy Mapper API programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "products": [{10 "id": "sku-1",11 "title": "Women's waterproof hiking boots",12 "description": "Leather trail boots with rubber sole",13 "brand": "North Peak",14 }],15 "taxonomy": [16 {17 "id": "footwear-boots",18 "name": "Hiking Boots",19 "path": "Apparel > Footwear > Boots",20 "keywords": [21 "hiking",22 "trail",23 "trekking",24 "waterproof",25 ],26 },27 {28 "id": "footwear-sneakers",29 "name": "Sneakers",30 "path": "Apparel > Footwear > Sneakers",31 "keywords": [32 "sneaker",33 "trainer",34 "running",35 ],36 },37 ],38}39
40# Run the Actor and wait for it to finish41run = client.actor("webdata_labs/ai-product-taxonomy-mapper-api").call(run_input=run_input)42
43# Fetch and print Actor results from the run's dataset (if there are any)44print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])45for item in client.dataset(run["defaultDatasetId"]).iterate_items():46 print(item)47
48# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Product Taxonomy Mapper API API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: