Extract Job Listings from Global Jobs Search API in 3 Steps
Extract job listings from Global Jobs Search API — a practical guide with a ready-to-run configuration and structured output.
The fastest path from page to dataset is an Actor that already knows the site. Thirdwatch's Global Jobs Search API turns Global Jobs Search API into structured job listings — the fields you need, ready to export.
Skip the setup: Run this as a ready-to-go task on Apify — pre-loaded with the configuration from this guide.
Why quickstart job listings
Every data project starts the same way: someone spends a week writing a scraper, then another week un-breaking it. Skipping the build step means the first rows land in minutes.
The Actor takes a short input list and returns structured rows — no selectors, no sessions, no retries to write.
The scraper handles the extraction details so a short input list in means usable job listings out.
How does this compare to the alternatives?
| Approach | Cost model | Coverage | Effort |
|---|---|---|---|
| Manual browsing and copy-paste | Free | Whatever you can read | Doesn't scale |
| Custom one-off script | Your infra and maintenance | One brittle path | You own the upkeep |
| Thirdwatch Global Jobs Search API | Pay per result row | Structured job listings at scale | One run |
Why this Actor
- Purpose-built for this source —
queryin, structured rows out. - Pay per result — no subscriptions, free tier to test.
- Dataset output exports as JSON, CSV, Excel, or via API.
- Schedulable — save the task and run it daily or weekly.
- Part of the Thirdwatch portfolio — 140+ public Actors maintained as a fleet.
How to do it in 3 steps
Step 1: Configure the input
Set the inputs as shown below — query takes the targets, the optional fields bound run size — start small and scale.
Step 2: Run the Actor
Run it from the console, the API, or the linked saved task. One dataset row is written per job listing.
Step 3: Use the output
Each row carries the fields this source exposes (title, url, description).
{
"maxResults": 20
}Each dataset row looks like:
{
"title": "\u2026",
"url": "\u2026",
"description": "\u2026"
}What to watch for
Results reflect what's publicly visible at run time. Very large pulls take proportionally longer; bound them with the max/limit fields. For hiring pipelines and market research, scheduled small runs beat occasional giant ones.
Related use cases
- Monitor Job Listings on Global Jobs Search API on a Schedule
- Feed Global Jobs Search API Data Into Your Pipeline
- Compare Job Listings Across Global Jobs Search API at Scale
- Export Global Jobs Search API Results to CSV
- All Thirdwatch use-case guides
Run the Global Jobs Search API on Apify Store — pay per result, free to try, no credit card to test.
Frequently asked questions
What does Global Jobs Search API return?
One dataset row per job listing — with the fields shown in the sample output. Export as JSON, CSV, or Excel.
How do I control run size?
`query` selects the targets and the max/limit fields bound how many rows come back. Start small, then scale.
Can I run this on a schedule?
Yes — save it as a task and attach a schedule in Apify Console for daily/weekly pulls.
Is this data public?
The Actor collects publicly visible data only — the same information a logged-out visitor sees.
What formats can I export?
JSON, CSV, Excel, XML, or direct API access to the dataset — plus webhooks and integrations.
What if a run returns fewer rows than expected?
The source limits some results; retry once, and widen the query or filters if the target surface is genuinely thin.
Related
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