Instagram and Facebook ads with Algolia Recommend

create_product_set.py

import requests

facebook_api_version = 'v14.0'
facebook_catalog_id = '<facebook-catalog-id>'
facebook_api_token = '<facebook-api-token>'

res = requests.post(
    f'https://graph.facebook.com/{api_version}/{product_catalog_id}/product_sets',
    json={
        'access_token': facebook_api_token,
        'name': 'Trending products',
        'filter': {
            'retailer_id': {
                'is_any': trending_product_skus
            }
        }
    }
)

trending_product_set_id = res.json()['id']

fetch_trending_product_skus.py

from algoliasearch.recommend_client import RecommendClient

algolia_app_id = '<algolia-app-id>'
algolia_api_key = '<algolia-api-key>'
algolia_index_name = '<algolia-index-name>'

recommend_client = RecommendClient.create(app_id, api_key)

recommendations = recommend_client.get_recommendations(
    queries=[
        {
            'indexName': algolia_index_name,
            'model': 'trending-items',
        }
    ]
)

trending_product_skus = [product['sku'] for product in recommendations['results'][0]['hits']]

update_product_set.py

import requests

facebook_api_version = 'v14.0'
facebook_api_token = '<facebook-api-token>'
# The `product_set_id` is obtained during the creation of the product set, refer to the `create_product_set.py` file.
facebook_product_set_id = ''

# Refer to the `fetch_trending_product_skus.py` file for fetching the trending products.
trending_products = []

requests.post(
    f'https://graph.facebook.com/{version}/{product_set_id}/',
    json={
        'access_token': facebook_api_token,
        'filter': {
            "retailer_id": {
                "is_any": [product['sku'] for product in trending_products]
            }
        }
    }
)