Remote Jobs API
Live, normalized remote-job data across 5 boards — one clean endpoint, one schema.
Stop scraping Remotive / RemoteOK / We Work Remotely / Jobicy / Hacker News yourself. This API pulls them, normalizes every listing into a single schema, dedupes, and hands you structured JSON (or CSV) — with an optional 0-100 skill fit-score for ranking.
Built for:
- Job boards & aggregator sites
- Recruiter and ATS tooling
- Lead-gen and market research
- AI agents that need structured job data in one call
Why it's different
- One schema, every board. No per-board adapters on your side.
- No session scraping. Reads public job-board endpoints — your data never leaves their servers, no browser, no account.
- Self-hostable. Stdlib-only Python (zero dependencies). Run it on a laptop, a $5 VPS, or containerize it with the included Dockerfile.
- Deterministic fit scoring. No hidden LLM, no black box — reproducible ranking you can reason about and unit-test.
- Structured salary, machine-filterable. Every listing carries parsed
salary_min/salary_max/salary_currency/salary_period, and?min_salary=Nfilters by the top of the range — no regex on your side.
Endpoints
| Method | Path | Description |
|---|---|---|
| GET | /health |
Status + live job count |
| GET | /v1/jobs/sources |
Available boards |
| GET | /v1/jobs |
Normalized job listings |
GET /v1/jobs
Query params:
| Param | Type | Notes |
|---|---|---|
skills |
string | Comma-separated keywords → adds fit_score, ranks best-first |
source |
string | remotive / remoteok / jobicy / wwr / hn |
limit |
int | 1-500 (default 50) |
min_score |
int | 0-100, filter by fit (needs skills) |
min_salary |
number | min salary, filters on the parsed top-of-range (salary_max); drops jobs with no parsed salary |
format |
string | json (default) or csv |
Example
curl "https://<your-host>/v1/jobs?skills=python,backend,api&limit=3"
{
"count": 3,
"generated_at": 1790433192,
"jobs": [
{
"id": "94516b10164d3c70",
"title": "Senior Backend Developer (Python)",
"company": "Proxify AB",
"url": "https://weworkremotely.com/remote-jobs/proxify-ab-senior-backend-developer-python-10",
"location": "Anywhere in the World",
"salary": "USD 170,000-200,000 / yearly",
"salary_min": 170000,
"salary_max": 200000,
"salary_currency": "USD",
"salary_period": "year",
"category": "Back-End Programming",
"source": "wwr",
"published": "2026-09-15T09:01:36+00:00",
"fit_score": 80
}
]
}
Run it yourself
Zero runtime dependencies — it's pure Python stdlib.
Option A — CLI (query the feed directly, no server needed):
pip install remote-jobs-api
remote-jobs-api --skills python,api --limit 5
remote-jobs-api --source wwr --format csv
remote-jobs-api --help
Option B — HTTP API server (self-host):
pip install remote-jobs-api
remote-jobs-api --serve --port 8321 # or: python -m remote_jobs_api.server
Or from source / Docker:
git clone https://github.com/earnnova-dev/remote-jobs-api
cd remote-jobs-api
python3 -m remote_jobs_api.server # listens on :8321
docker build -t remote-jobs-api .
docker run -p 8321:8321 remote-jobs-api
Or the fastest way — one command with the included docker-compose.yml
(keys + accounts persist in a named volume):
git clone https://github.com/earnnova-dev/remote-jobs-api && cd remote-jobs-api
export RJA_ADMIN_TOKEN=*** # required: mint keys via /admin/keys
docker compose up -d # live on http://localhost:8321
Option C — Kubernetes (Helm chart, self-host):
A production-ready chart ships in the repo (charts/remote-jobs-api/) and is
published as a static Helm repository on GitHub Pages. It provisions the API
server, a persistent key store (PVC), and an optional ingress, PDB and
NetworkPolicy.
helm repo add earnnova https://earnnova-dev.github.io/remote-jobs-api/
helm repo update
helm install rja earnnova/remote-jobs-api --namespace rja --create-namespace --set image.repository=ghcr.io/earnnova-dev/remote-jobs-api --set image.tag=1.1.0
The chart generates an admin token on install; retrieve it:
kubectl -n rja get secret rja-rja -o jsonpath='{.data.token}' | base64 -d
See charts/remote-jobs-api/README.md for the full values reference
(ingress, TLS, persistence, NetworkPolicy egress allowlist, resources).
Env vars:
PORT(default8321)RJA_CACHE_TTL(default300s) — how long to cache upstream fetches
Testing
Offline unit tests (no network): python -m pytest.
Pricing (indicative, for a hosted tier)
| Plan | Price | Includes |
|---|---|---|
| Free | $0 | 100 calls/mo, all boards, 50 results/req |
| Pro | $19/mo | 10k calls/mo, CSV, min_score, higher limits |
| Team | $49/mo | 100k calls/mo, SLA, webhooks (soon) |
Self-hosted = free, MIT. The paid tier is the hosted, always-on, high-rate-limit version — the same engine, managed for you.
Related product
Want alerts instead of a data endpoint? GigWatch is a self-hosted gig watcher that monitors the same live feeds, filters by your skills, and pings you (console, email, or Slack) only when a new matching gig appears.
- Repo: https://github.com/earnnova-dev/gigwatch
- Install:
pip install gigwatch-nova
License
MIT. See LICENSE.
Data & compliance
This API only reads public, no-auth job-board endpoints and returns data exactly as those boards publish it. It does not store your personal data, does not scrape authenticated sessions, and does not resell any board's proprietary content beyond what is publicly viewable.
Metadata
Release files for remote-jobs-api 1.2.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| remote_jobs_api-1.2.6.tar.gz | 43.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| remote_jobs_api-1.2.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 82.8 kB
Release files / remote_jobs_api-1.2.6.tar.gz
| Download URL | remote_jobs_api-1.2.6.tar.gz |
|---|---|
| Size | 43.6 kB |
| Tags | Source |
|
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Release files / remote_jobs_api-1.2.6-py3-none-any.whl
| Download URL | remote_jobs_api-1.2.6-py3-none-any.whl |
|---|---|
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| Tags | Python 3 |
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