You can access the Structured Data Competitor Gap Prioritizer 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.

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    "assessmentId": "q3-2026",
11    "targetDomain": "example.com",
12    "competitorDomains": [
13        "example.net",
14        "example.org",
15    ],
16    "opportunities": [
17        {
18            "opportunityCode": "ORGANIZATION_IDENTITY",
19            "targetCoverageBps": 4000,
20            "competitorCoverageBps": [
21                9000,
22                8000,
23            ],
24            "businessImpact": 5,
25            "implementationEffort": 2,
26            "evidenceConfidence": "HIGH",
27            "affectedTargetPages": 25,
28        },
29        {
30            "opportunityCode": "PRODUCT_OFFER",
31            "targetCoverageBps": 2500,
32            "competitorCoverageBps": [
33                7500,
34                8500,
35            ],
36            "businessImpact": 5,
37            "implementationEffort": 3,
38            "evidenceConfidence": "HIGH",
39            "affectedTargetPages": 120,
40        },
41        {
42            "opportunityCode": "ARTICLE_PROVENANCE",
43            "targetCoverageBps": 6000,
44            "competitorCoverageBps": [
45                8000,
46                7000,
47            ],
48            "businessImpact": 4,
49            "implementationEffort": 2,
50            "evidenceConfidence": "MEDIUM",
51            "affectedTargetPages": 40,
52        },
53        {
54            "opportunityCode": "BREADCRUMB_NAVIGATION",
55            "targetCoverageBps": 9000,
56            "competitorCoverageBps": [
57                8000,
58                9000,
59            ],
60            "businessImpact": 3,
61            "implementationEffort": 2,
62            "evidenceConfidence": "MEDIUM",
63            "affectedTargetPages": 200,
64        },
65    ],
66    "minimumGapBps": 1000,
67    "maxPriorities": 3,
68}
69
70# Run the Actor and wait for it to finish
71run = client.actor("zinin/structured-data-competitor-gap-prioritizer").call(run_input=run_input)
72
73# Fetch and print Actor results from the run's dataset (if there are any)
74print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
75for item in client.dataset(run.default_dataset_id).iterate_items():
76    print(item)
77
78# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Prioritize Structured Data Competitor Gaps API in Python

The Apify API client for Python is the official library that allows you to use Structured Data Competitor Gap Prioritizer API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Structured Data Competitor Gap Prioritizer API in JavaScript

Structured Data Competitor Gap Prioritizer API through CLI

Structured Data Competitor Gap Prioritizer OpenAPI definition

Structured Data Competitor Gap Prioritizer API

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