Job Posting Data: Broader Coverage, Better Quality

Today, we’re announcing a major expansion and quality upgrade to our Job Posting Dataset, significantly increasing the number of company career pages we track while improving posting quality, freshness, completeness, and usability across the dataset.

Whether you’re building a product, identifying sales opportunities, monitoring competitors, or analyzing labor-market activity, these improvements give you a broader and more reliable view of how companies are hiring.

Let’s dive in!

This release includes improvements across five major areas:

Together, these updates make it easier to find the companies, roles, and hiring signals that matter – so you can spend less time cleaning, deduplicating, or validating the underlying data.

Coverage has been one of the most requested improvements since we launched the Job Posting Dataset.

With this release, we’ve expanded from approximately 86,000 tracked company career pages to more than 400,000.

That expanded footprint now includes more than 100,000 unique companies with active job postings, up from approximately 60,000.

Just as importantly, we continue tracking companies even when they do not currently have an open role.

A company with zero active job postings is still a useful signal. It can indicate a hiring slowdown, a pause in expansion, a change in strategy, or simply a quieter point in the company’s hiring cycle.

By continually monitoring company-hosted career pages, PDL provides visibility into both active hiring and the absence of hiring activity.

More job postings do not automatically mean better job-posting data.

Duplicate listings can inflate hiring counts, distort trends, and create extra cleanup work for teams using job data in products, models, and business workflows.

We made significant upgrades to our sourcing process to reduce duplicate and lower-quality records. These changes have produced a meaningful reduction in duplicate postings and provide a more accurate view of hiring activity across the companies we track.

The result is cleaner job counts, less manual maintenance, and greater confidence in the signals you build from the data.

Knowing that a job was posted is useful. Knowing whether it is still open is even more important.

Stale job listings can make a company appear more active than it really is, interfere with trend analysis, and trigger outreach or workflows based on opportunities that are no longer current.

We improved the accuracy of the deactivated_date field to better identify when postings are removed from company career pages.

This means fewer outdated jobs, clearer active-job counts, and a more current view of company hiring activity.

Job descriptions contain some of the richest information available in a posting.

They can reveal the technologies a company uses, the skills it needs, the teams it is building, the markets it is entering, and the initiatives receiving investment.

With this release, more than 99% of active job postings include a description.

That gives product, data, and go-to-market teams more complete inputs for:

Instead of working around missing descriptions, teams can use more of the dataset immediately.

We also added two company industry fields directly to Job Posting records:

These fields use PDL’s canonical industry classifications and make it easier to search, filter, segment, and analyze job postings based on the industry of the hiring company.

For example, you can use the fields to:

The new fields are available across PDL Job Posting Data products and can also be used as filters through the Job Posting Search API.

These improvements apply across all PDL Job Posting products, including:

You can search the dataset on demand through the API, receive data through bulk deliveries, or access summarized hiring signals as part of PDL Company Data.

If you’re an existing PDL customer, reach out to your account team to request a new data test or explore the dataset through the Job Posting Search API.

If you’re new to People Data Labs, request access to start evaluating the data.

Whether you’re replacing a third-party job feed, reducing your reliance on internal scraping, or building a new product powered by hiring intelligence, this is a great time to take a fresh look at PDL Job Posting Data.

PDL compliantly sources job postings directly from company-hosted career pages.

This approach is designed to provide an accurate and current view of the roles companies are actively advertising, rather than relying primarily on listings copied across traditional job boards.

Job-board data can contain reposted, duplicated, expired, or syndicated listings. By focusing on company career pages, we can more closely reflect what a company is publishing at the source.

This helps reduce inflated job counts and gives customers a clearer view of actual company hiring activity.

Job postings are more than open roles. They are signals of company strategy, investment, growth, and intent.

A company hiring its first enterprise sales leader may be preparing to move upmarket. A sudden increase in AI engineering roles may signal a new product investment. A decline in open positions may indicate a hiring slowdown or shift in priorities.

With clean and current job-posting data, you can:

PDL Job Posting Data helps turn those individual listings into structured signals that can be searched, analyzed, and used in downstream workflows.

PDL Job Posting Data is built for teams that need scalable access to current hiring activity.

Sales and RevOps teams can identify companies hiring for relevant departments, technologies, or initiatives and use those signals to prioritize outreach.

Marketing teams can build audiences and trigger campaigns based on hiring activity, company industry, role, location, and other attributes.

Product and data teams can add job intelligence to their products without building and maintaining their own large-scale career-page scraping infrastructure.

Recruiting and HR technology companies can power job discovery, labor-market analysis, matching, enrichment, and competitive intelligence workflows.

Investors and analysts can monitor company growth, strategy, workforce demand, and broader market trends.