You can access the US Brand Offer Evidence Normalizer 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "schemaVersion": "1.0",
10    "requestId": "offer-normalize-20260804-001",
11    "rows": [{
12            "entity": {
13                "entityId": "brand:demo-outfitters",
14                "brandName": "Demo Outfitters",
15                "legalName": None,
16                "domain": "demo.example",
17                "ticker": None,
18                "aliases": [],
19                "country": "US",
20                "sourceEntityIds": ["prefill:demo-outfitters"],
21            },
22            "evidence": {
23                "evidenceType": "landing_page",
24                "sourceName": "demo_fixture",
25                "sourceRecordId": "offer-001",
26                "sourceUrl": "https://demo.example/offers/spring",
27                "observedAt": "2026-08-04T08:00:00Z",
28                "rawTitle": "Spring offer",
29                "rawTermsText": "20% off orders $50+ with code SPRING20. Ends 2026-09-30.",
30                "terms": {
31                    "offerKind": "percent_off",
32                    "percentOff": 20,
33                    "minPurchaseAmount": {
34                        "value": 50,
35                        "currency": "USD",
36                    },
37                    "couponCode": "SPRING20",
38                    "endAt": "2026-09-30T23:59:59Z",
39                },
40                "entityAttribution": {
41                    "status": "verified_by_source",
42                    "proofType": "first_party_domain",
43                    "proofValue": "demo.example",
44                    "sourceEntityId": "prefill:demo-outfitters",
45                    "proofUrl": "https://demo.example/",
46                    "proofDomain": "demo.example",
47                    "merchantId": None,
48                    "adAccountId": None,
49                    "officialSourceId": None,
50                },
51                "additionalUrls": [],
52            },
53        }],
54    "options": {
55        "labels": "off",
56        "maxItems": 100,
57    },
58}
59
60# Run the Actor and wait for it to finish
61run = client.actor("zinin/us-brand-offer-evidence-normalizer").call(run_input=run_input)
62
63# Fetch and print Actor results from the run's dataset (if there are any)
64print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
65for item in client.dataset(run["defaultDatasetId"]).iterate_items():
66    print(item)
67
68# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

US Brand Offer Evidence Normalizer | Verified Offer JSON API in Python

The Apify API client for Python is the official library that allows you to use US Brand Offer Evidence Normalizer API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

US Brand Offer Evidence Normalizer API in JavaScript

US Brand Offer Evidence Normalizer API through CLI

US Brand Offer Evidence Normalizer OpenAPI definition

US Brand Offer Evidence Normalizer API

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