Merchant Center Issue & Feed Field Mapper
Pricing
$0.03 / complete validation report
Join supplied Merchant issue CSVs to feed fields using an explicit JSON mapping. Review candidate rows; no policy diagnosis or automatic repair.
You can access the Merchant Center Issue & Feed Field Mapper 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 = {9 "issues_csv": """Item ID,Issue,Severity10sku-a,Missing value [availability],High11sku-b,Missing value [price],Medium12sku-z,Landing page policy issue,High13""",14 "feed_csv": """id,availability,price,title15sku-a,,12.00,Sample A16sku-b,in_stock,9.00,Sample B17""",18 "mapping_json": """{19 \"issues\": {\"id_column\": \"Item ID\", \"issue_column\": \"Issue\", \"severity_column\": \"Severity\"},20 \"feed\": {\"id_column\": \"id\"},21 \"issues_id_mode\": \"exact\"22}23""",24}25
26# Run the Actor and wait for it to finish27run = client.actor("biztoolsus/merchant-issue-feed-map").call(run_input=run_input)28
29# Fetch and print Actor results from the run's dataset (if there are any)30print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")31for item in client.dataset(run.default_dataset_id).iterate_items():32 print(item)33
34# 📚 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 Merchant Center Issue & Feed Field Mapper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: