You can access the Job Feed Change Detector 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    "comparisonId": "sample-jobs",
10    "baseline": [{
11            "sourceId": "J-1",
12            "title": "Data Analyst",
13            "company": "Northwind",
14            "location": "Berlin",
15            "url": "https://jobs.example/J-1",
16            "description": "SQL and dashboards",
17        }],
18    "current": [
19        {
20            "sourceId": "J-1",
21            "title": "Senior Data Analyst",
22            "company": "Northwind",
23            "location": "Berlin",
24            "url": "https://jobs.example/J-1",
25            "description": "SQL, dashboards, and Python",
26        },
27        {
28            "sourceId": "J-2",
29            "title": "Data Engineer",
30            "company": "Northwind",
31            "location": "Remote",
32            "url": "https://jobs.example/J-2",
33            "description": "Build data pipelines",
34        },
35    ],
36}
37
38# Run the Actor and wait for it to finish
39run = client.actor("ceddl/job-feed-change-detector").call(run_input=run_input)
40
41# Fetch and print Actor results from the run's dataset (if there are any)
42print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
43for item in client.dataset(run.default_dataset_id).iterate_items():
44    print(item)
45
46# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Job Feed Change & Duplicate Detector API in Python

The Apify API client for Python is the official library that allows you to use Job Feed Change Detector API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Job Feed Change Detector API in JavaScript

Job Feed Change Detector API through CLI

Job Feed Change Detector OpenAPI definition

Job Feed Change Detector API

Policy Change Detector

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ATS Job & Salary Change Monitor

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Track Greenhouse, Lever and Ashby jobs in one feed. Compare salary, location and remote-policy changes with before/after evidence. Export JSON or spreadsheet-safe CSV.

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Greenhouse Job Change Tracker

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Track job description, salary-text and location edits with before/after evidence. Confirm removals across complete snapshots and retain state on source failures.

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Subtitle Timing Quality Gate

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Audit bounded subtitle cue exports for invalid timing, overlaps, reading-speed risk, empty text, and duplicate cue IDs.

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iCalendar Event Quality Gate

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Audit normalized iCalendar event exports for duplicate UIDs, invalid intervals, timestamp errors, and missing timezone evidence.

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Workday Jobs & Hiring Changes Radar

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AWS CUR Anomaly Detector

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Credential-free deterministic anomaly preflight for one bounded, already-exported AWS Cost and Usage Report.

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DMARC Report Change Monitor

ceddl/dmarc-aggregate-drift-monitor

Compare baseline and current DMARC aggregate-report periods for one or more domains. Find new sending IPs and SPF/DKIM alignment regressions with deterministic offline evidence for deliverability review.

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Track Hiring Changes on Greenhouse Boards

fluxory/hiring-activity-monitor

Detect public Greenhouse job board changes between observations, with baseline-aware summaries of new, missing, and updated job posts.

yohei kotani

💼 LinkedIn Job Changes & Company Hiring Signals

snuggly_beanie_970/linkedin-job-change-hiring-signal

Find public LinkedIn jobs with full descriptions, salary and criteria. Detect new or updated listings and aggregate company hiring signals by role, location and remote share.