Product updates

We've expanded the locations catalog endpoint to include the full catalog of over 4.2 million searchable locations, up from the previous limit of 250,000 locations.

What's changed

When we first introduced the locations catalog alongside the new location filters, we initially limited searchable locations to 250k to ensure fast response times. Now, you can search through and use the complete catalog of over 4.2 million locations in your job searches.

This means you can now find and use location IDs for:

• More cities and towns - Access to smaller cities, towns, and localities that weren't previously searchable
• Broader geographic coverage - More comprehensive location data across all countries and regions
• Greater precision - Find exact location IDs for even the most specific geographic areas

All locations in the catalog can be used with the job_location_or and job_location_not filters in the Jobs Search API and the New Job Location filter in the UI, giving you access to the full breadth of our location data for precise geographic targeting.

We've significantly improved the accuracy of the job_location_or filter (shown as "New Job Location" in the UI) reducing false positives in location matching by ~20%.

Before

When looking for jobs from many cities, around 20% of the results were false positives. For example, when looking for jobs from Manchester, one would get results from different places as shown in the image below:

After

This happened because for jobs where we didn't have structured location data but just a location string, we'd fall back to making string matches on the name of the location being searched, as well as it's parent administrative units (state, country, etc.). So we'd be looking for jobs mentioning 'England' as well, which would yield many false positives.

This is now fixed and in the following image you can see that both the number of jobs found is lower, and there are no false positives anymore:

We've fixed an issue where jobs weren't always matched to the correct company. When multiple companies had the same name, our system couldn't tell them apart reliably.

Now our matching algorithm uses the job's company domain and source as additional signals to identify the right company. This means each job gets linked to the correct company profile, even when company names are identical.

All new jobs posted from November 17, 2025 onward use this improved matching. We're also updating existing jobs over the next few weeks so they benefit from the same enhancement.

You can now see the fill rate for every field across our main entities: Job, Company, Technographic, and Technology.

Fill rate shows what percentage of records have a value for each field. We update this metric in real time, so you'll always see the latest data coverage.

We've added a new Jobs Statistics page where you can see the total number of jobs discovered each month. You'll also find breakdowns by country, source, and workplace type.

We've also created a Companies Statistics page with breakdowns by industry, employee size, and headquarters country.

We've added two new columns to job exports from the Job Search feature. These columns help you filter and analyze jobs more effectively when exporting your results.

The new columns are:

• employment_status - Displays the employment statuses for the job. This can include values like "Full-time", "Part-time", "Contract", or "Temporary". When a job has multiple statuses, they're listed as a comma-separated string.

• seniority - Indicates the seniority level of the position. This field uses values like c_level, staff, senior, mid_level, or junior to help you categorize roles by experience level.

These columns are automatically included in all job exports (CSV and Excel formats), so you'll have richer data to work with when analyzing job postings or building integrations.

We've added rate limit information to API response headers, making it easier to monitor your usage and manage your API integrations.

Every API response now includes these headers:

• RateLimit - Current quota status per policy with remaining requests and reset time
• RateLimit-Policy - Applied policy definitions with limits and window durations
• RateLimit-Remaining - Shows how many requests you have left in each time window
• RateLimit-Reset - Tells you when each limit resets (in seconds)
• RateLimit-Limit - Your total allowed requests per window

For complete details on which headers are included, what they mean, and how to use them, check out our API documentation. The rate limiting section explains everything you need to know about rate limits and how to handle them in your applications.

We've added 48 new technologies to our detection system, expanding coverage across artificial intelligence, data science, supply chain management, tag management, and enterprise software categories.

Artificial Intelligence & Machine Learning

• IFS.ai
• NVIDIA Nemotron
• NVIDIA Dynamo
• RAPIDS
• NVIDIA BioNeMo
• Triton
• Gurobi Optimizer
• NVIDIA PhysicsNeMo

Data Science & Analytics

• Google OR-Tools
• Waaila
• UTM.io
• HiGHS
• PyVRP

Supply Chain & Logistics

• Customer Order and Network Density OptimizeR (CONDOR)
• RouteSmart Technologies
• Hexaly
• NextBillion.ai
• UPS

Tag Management & Data Quality

• Website Observer
• Enterprise Tag Manager
• DataTrue
• Tag Inspector
• TAGLAB
• Code Cube
• Tag Insight
• Data Kojak
• Netvigie Tracking
• Verified Data

Application Development & Infrastructure

• Nextmv
• FlashInfer
• Strimzi Kafka Operator
• SGLang

Enterprise Software

• Maximo Asset Management
• SAP Field Service Management
• Apache KIE
• NEC

Mapping & Location Services

• GraphHopper Directions API

Other Categories

• Solvice - Resource Scheduling
• Accutics - Marketing Performance Management
• LMCache - Content Delivery Network
• Leaf Signal - Conversion Optimization
• Avo - Data Management Platform
• Adobe Experience Platform Assurance - Application Testing
• Terminus - Link Management Tools
• LlamaIndex - Document Management
• Data On Duty - GDPR Compliance
• Raisely - Fundraising and Donation Management
• Jarvi - Recruitment

We're excited to announce that TheirStack Jobs Data is now available as an integration in Clay, giving you access to real-time job posting data directly within your GTM workflows.

How to Use

To get started with the TheirStack integration in Clay:

1. Go to Clay and create a new table.
2. Go to "Add Enrichment" in your Clay table
3. Select "TheirStack" from the integrations list
4. Choose "Get Company Jobs" to retrieve job postings

For more information about our job data, check out our Job Search API documentation. You can also learn more about the integration on Clay's TheirStack integration page or read about it in Clay's product roundup changelog.

We've updated our free plan with clearer limits while keeping it completely free forever.

Every month, free plan users get 50 company credits and 200 API credits. New limits include:

• Browse up to 5 pages of search results
• View up to 25 results per page
• Rate limit of 2 requests per second

For complete details on all features and limits, see our pricing plans page. Need more? Upgrade to any paid plan for unlimited pages, up to 500 results per page, and 4 requests per second at your billing settings.

We've made several improvements to our platform over the past few weeks to boost stability and performance. Here's what's gotten faster:

Webhooks

Webhooks are now more reliable and faster than ever. We've separated webhooks into different pipelines to eliminate bottlenecks and keep things running smoothly.

Job Searches

When you filter job searches by company identifiers (domain, LinkedIn URL, or name), you'll notice significant speed improvements:

• Searches for companies that don't exist in our database are now 3x faster than before
• Searches for companies that do exist in our database are now 2x faster than before

Technographics

Technographics queries are now 2x faster, giving you the technology insights you need in half the time.

Company Searches

Filtering company searches by technology is now 25% faster, making it quicker to find companies using specific tech stacks.

Starting October 9, 2025, blur_company_data won't have any effect when filtering by a single company and will be charged as if it wasn't there. This change helps us maintain our low pricing while keeping the platform sustainable for everyone.

Read more about this update in our blog post.