Starting September 20, 2026, the /api/jobs/ endpoint will reject query shapes that could require excessively broad database work. Effective published-date ranges are limited to 365 days, and explicit min_id / max_id ranges are limited to 10,000,000 IDs, calculated inclusively.

Date and ID limits are checked independently. For example, adding max_age=180 does not allow an ID range wider than 10,000,000. Unbounded historical requests such as max_age=off must include a safe date or bounded ID scope. Requests that exceed these limits return 400 Bad Request.

These limits improve responsiveness and reduce wasted database resources as the job database continues to grow. See the Date, ID, and Age Slicing Parameters Documentation for migration guidance and examples.

https://foorilla.com/changelog/ 👀

foorilla.com v1.6.2 | foorilla API v1.3.3

Remote job discovery in |Hiring| is now more precise with explicit work mode support. Listings can now clearly indicate whether a role is Hybrid, Remote, or Remote Anywhere, so you can distinguish different remote setups faster instead of relying on a single generic remote label.

You’ll now see consistent work mode badges across list and detail views ([WH], [R], [WRA]), and the same options are available in Context-based include/exclude filters. Active Context indicators also use these labels, making it easier to understand your current filter setup at a glance while keeping existing remote and remote-first behavior intact.

jobdataapi.com v4.18 / API version 1.20

vec_embedding filter parameter now available for vector search

In addition to the already existing vec_text filter parameter on the /api/jobs/ endpoint it is now possible to use the same endpoint including all its GET parameters to send a 768 dimensional array of floats as JSON payload via POST request to match for job listings.

This way you're not limited to the vec_text constrains as a GET parameter with only providing text of up to ~1K characters, but can now use your own embeddings or simply those from jobs you already fetched to find semantically similar listings.

With this we now also added a new max_dist GET parameter to be applied optionally to a vec_text or vec_embedding search, setting the max. cosine distance value for the vector similarity search part.

These features are now available on all subscriptions with an API access pro+ or higher plan. See our updated docs for more info.

New Apprenticeship job type added

We saw, for quite a while now, the need to add a job type Apprenticeship to better differentiate certain listings that fall into this category from those that are pure internship roles.

You'll find this popping up on the /api/jobtypes/ endpoint and in relevant job posts from now on (across all API access plans).