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Job Posting API Quickstart GuideWhat the Job Posting API Does5 Ways Teams Are Using ItMaking Your First CallWhere to Go NextTakeaway

Job Posting API Quickstart Guide

5 Real-World Use Cases

Vinay Rajur
Vinay Rajur
04/23/26
5 min
Job Posting API Quickstart Guide
If you missed the news, we just launched our new Job Posting API (check out the announcement post)!
The Job Posting API provides direct access to real world hiring activity: who companies are hiring, where they’re growing, and what roles they’re investing in.
So, instead of managing datasets or scraping job boards, you can now just query this data on demand and plug it into your workflows.
Below are a few of the most common ways we’re seeing teams using it.
What the Job Posting API Does
The Job Posting API lets you:
  • Query live job postings (refreshed and updated daily)
  • Filter by company, role, location
  • Get structured results back instantly
Think of it as searching hiring activity, not storing it.
5 Ways Teams Are Using It
Now let’s take a look at the most common patterns we’re seeing across customers (with links to actual implementation examples).
1) Keeping Job Boards Fresh
Use the API to power job search experiences with live data instead of syncing a dataset.
  • Fetch jobs on demand as users search
  • Return only active, current listings
  • Paginate results easily
Why this works: no refresh pipelines, no stale data, and minimal infrastructure
2) Monitoring Hiring at Target Companies
Track hiring activity across a list of companies over time.
  • Pull jobs by company
  • Run recurring checks (daily/weekly)
  • Track changes in roles and volume
Used for: account monitoring, competitive tracking, and investment research
3) Turning Hiring into Sales Signals
Use job postings as a proxy for company intent.
  • Find companies hiring for specific roles (e.g. SDRs)
  • Search for tools or technologies mentioned in descriptions
  • Focus outreach based on recent hiring activity
Outcome: better timing and more relevant targeting (with less volume than broad lead lists)
4) Analyzing Hiring by Region
Understand where demand is growing without building a data pipeline.
  • Filter by geography and role
  • Identify hiring trends by region
  • Compare activity over time
Useful for: territory planning, market analysis, and expansion decisions
5) Building Multi-Step Workflows
Use job posting data as one step in a larger system.
Example workflow:
  1. Find companies in your ICP
  2. Pull their job postings
  3. Filter by relevant roles
  4. Push results into your CRM or outbound tools
Why this matters: the API is flexible enough to plug into existing systems - not just standalone queries
Making Your First Call
The best part about the API is that you don’t need much setup to get started:
import requests

API_ENDPOINT = "https://api.peopledatalabs.com/v5/job_posting/search"

payload = {
    "company_website": "openai.com", # Select a company
    "title_role": "engineering",  # Selects a job role
    "size": 3, # Get 3 records
    "api_key": "YOUR_API_KEY" # Replace with your API Key
}

response = requests.post(API_ENDPOINT, json=payload)
print(response.text)
This returns structured job posting data for your query.
A typical response looks like this (trimmed for readability):
{
  "status": 200,
  "data": [
    {
      "title": "ai workflow engineer, marketing innovation",
      "company_name": "openai",
      "first_seen": "2026-04-08",
      "last_verified": "2026-04-08",
      // Additional fields like description, etc. (omitted for brevity)
    },
    // Additional records (omitted for brevity)
  ],
  "total": 673
}
That’s it! One request, a few easy-to-tweak parameters, and you have usable hiring data.
From here, you can expand filters, chain queries, and start plugging results into your workflows.
Where to Go Next
Want to see real implementations?
Want all the details?
Ready to try it?
Takeaway
Job postings are one of the clearest signals of what companies are doing next.
With the new Job Posting API, we’re seeing teams apply this data across sales, product, and strategy workflows with relatively simple setups.
If you’re already making decisions about who to target, where to focus, or when to act, this is a useful signal to add into the mix.
About the Author
Vinay Rajur
Vinay Rajur
Product Marketing
People Data Labs
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