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City feed

Toronto job listings API

Canada's tech capital in one stable feed. Toronto jobs pulled directly from employer career pages — no agency reposts, no duplicates. It's also a common landing spot for US companies hiring cross-border talent without a US work visa requirement, which shapes the mix of roles you'll see.

The Problem

Toronto's job market is Canada's largest, which means the most signal and the most noise. Finding direct employer postings among hundreds of agency-promoted listings is a constant friction for job seekers and board builders alike.

Our Solution

We only index postings from employer career pages. Every listing in the Toronto feed has one source: the company hiring. That includes US companies with a Toronto entity, which we normalize as Canadian listings rather than folding into a generic North America bucket.

What you're getting

Source
Direct postings from ATS and employers career sites.
Companies
This batch includes roles from Relay, Ravl.io, Banyan Software, Veeam Software, and Sentry, and more.
Volume
Preview shows 10 roles (limit 10, with more pages available). Authenticate and paginate to explore the full Toronto index.
Filters
Filter by country, state, city, title, remote setting, experience level, and salary. Full filter reference in the Jobs API docs.

At a glance

  • Largest volume in the Canadian market — Toronto's density of tech, fintech, and AI companies gives this feed significant breadth.
  • Agency-free by design. Every posting traces back to an employer career page, not a recruiter account.
  • Normalized Toronto location data covering the city core, Waterfront, and surrounding tech corridors.
  • Notable AI research presence, tied to the university and research ecosystem that put Toronto on the map for AI talent.
  • A common combination is Toronto plus a remote-US filter, useful for boards serving companies that hire cross-border into Canada.

When you are ready for every filter, validation rule, and response field, use the Jobs API reference.

Global Platform Scale

2,120,282

Total Jobs Indexed

+11,521

Added Past 24h

+878,667

Added Past 30 Days

28,013

Employers

Example request

Same query as the playground, as cURL. Use your real key on the server only.

curl -X GET "https://api.cleanjobdata.com/jobs?city_id=17121&max_age=30d" \
  -H "Authorization: Bearer YOUR_API_KEY"

How to integrate

1. Get an API key

Sign up for CleanJobData, open the dashboard, and create or copy your API key. Send it as Authorization: Bearer <token> on every request (server-side only in production—never expose keys in mobile apps or public repos).

2. Query Toronto listings

Start from GET /jobs?city_id=17121 for Toronto, then add &title=... or &remote=true as needed — e.g. GET /jobs?city_id=17121&remote=true.

Use a modest limit while prototyping, default to sort_by=published for recency, then follow pagination.next_page for large imports. Back off with exponential retry if you hit rate limits.

3. Shape data for your product

List responses default to a lightweight field set with no description — add extra_fields=description when a view needs the full HTML body (e.g. GET /jobs?extra_fields=description), or pass fields=id,title,company,location,salary_min,salary_max to replace the default set entirely with just what a card renders. Detail requests (GET /jobs/:id) always include description, no extra param needed.

FAQ

Can I use this in production for a paid job board?

Yes—that is the intended use case. The free Trial tier (250 list + 500 detail requests/mo, no card required) is enough to prototype and verify data quality; Starter ($97/mo, 100,000 requests/mo) and Pro ($297/mo, 500,000 requests/mo) cover most production job boards. Keep your API key server-side, cache responses where it makes sense, and follow the cursor pagination contract for large imports.

How do I narrow results beyond Toronto?

Combine the location filters already applied on this page with title (GET /jobs?title=React+engineer), remote=true or the finer remote_type=fully_remote|remote_country|remote_region|hybrid, experience_level=SE,EX for seniority, or salary=100000,180000 for a compensation range. Every combination is documented with validation rules on the Jobs API reference (/docs/api/jobs).

What rate limits or quotas should I expect?

Every response includes X-RateLimit-Limit and X-RateLimit-Remaining headers, so you can watch your usage and slow down before hitting a 429 rather than reacting to one. The per-second limit resets within a second or two if you do hit it — a short wait and retry is enough. A separate, unrelated 429 fires if you exhaust your plan's monthly request quota; that one won't clear by waiting, so check the error message text to tell the two apart.

How is this different from scraping job boards myself?

We normalize employers, locations, salary text, and remote flags into one schema, refresh listings continuously, and expose stable HTTP filters. You spend time on product and UX instead of repairing scrapers every time a site changes markup.

How fresh is the job data?

We refresh listings continuously from our sources. Use sort_by=published (the default) for newest-first ordering, and for incremental syncs use created_max_age=1d (or 6h, 7d — a rolling window on ingestion time) rather than published_after, since a listing can finish processing after its original publish date and published_after alone can miss it.

Do you return full job descriptions on list endpoints?

Not by default — list responses use a lightweight field set to keep list pages and mobile clients fast. Add extra_fields=description to a list request (e.g. GET /jobs?extra_fields=description) to include it, or use fields=id,title,description,... to request an explicit set. The single-job detail endpoint (GET /jobs/:id) always includes the full description with no extra param needed.