ShopPilot — E-commerce Personalized Product Recommender
Pricing
Pay per usage
Scrapes e-commerce store feeds to act as a recommendation engine, outputting personalized product suggestions based on user profiles or queries.
Pricing
Pay per usage
Rating
0.0
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Developer
Daniel Lozano
Maintained by CommunityActor stats
0
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2
Total users
1
Monthly active users
11 days ago
Last modified
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You can access the ShopPilot — E-commerce Personalized Product Recommender 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 API & Integrations 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 = { "startUrls": [{ "url": "https://example.com" }] }9
10# Run the Actor and wait for it to finish11run = client.actor("orbitai/product-personalized-recommender").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 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 ShopPilot — E-commerce Personalized Product Recommender API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: