monthly snapshotdataset
$49one-off
A single snapshot of the last 30 days. Perfect for a prototype, a one-off market scan, a research project.
- ▸~340,000 rows · last 30d
- ▸CSV · JSON · Parquet
- ▸Same-day download link
- ▸Provenance on every row
refreshed · 07:03 utc · daily
dataset 01 · jobs
Fresh LinkedIn
jobs, every
24 hours.
new roles · worldwidelast 24h · 07:03 utc
12,420
+6.2% vs 7d~85k / week~340k / month
csv · json · parquet ● delivered same-day ● provenance on every row ● gdpr + ccpa aligned
sample · 5 of 12,420
What a row looks like.
| title | company | location | first_seen_at |
|---|---|---|---|
| Staff Backend Engineer | Vercel | US · SF | thu · 07:03 utc |
| Head of Platform | Linear | US · Remote | thu · 07:03 utc |
| Founding PM | Cartesia | US · SF | thu · 06:58 utc |
| Senior Solutions Eng | Modal | US · NYC | thu · 06:52 utc |
| DevRel Lead | Vapi | US · Remote | thu · 06:47 utc |
rows redacted to 4 of 24 columns · full schema below
schema · v1
Twelve of twenty-four fields.
| field | type | description | example |
|---|---|---|---|
| linkedin_job_id | string · 64-bit id | Stable LinkedIn job posting id, primary key | 4072311928 |
| title | string | Role title, casing-normalized | Staff Backend Engineer |
| company | object | name · slug · company_id (joinable to LinkedIn company graph) | { name: "Vercel", slug: "vercel", id: 14080355 } |
| location | string | Free-text location as posted; geo_id resolves separately | San Francisco, California, United States |
| workplace_type | enum | onsite · remote · hybrid | remote |
| level | enum | entry · associate · mid · senior · staff · principal · exec | staff |
| employment_type | enum | full_time · part_time · contract · internship · temporary | full_time |
| salary | object | Parsed from JD text — min, max, currency, interval. Null when absent. | { min: 220000, max: 290000, currency: "USD", interval: "year" } |
| description | string · plaintext + html | Full JD body — both plain and html variants returned | We're hiring a Staff Backend Engineer to lead… |
| posted_at_precise | timestamp · utc | LinkedIn's reported posting time | 2026-04-22T19:14:00Z |
| first_seen_at | timestamp · utc | When LinkFetch first indexed this row | 2026-04-23T07:03:18Z |
| is_active | boolean | True until LinkedIn drops the listing — re-checked on every recrawl | true |
webhook · realtime
The event that hits your endpoint.
Subscribe with a saved filter, get a signed POST within 60 seconds of LinkFetch first-seeing a matching role. One job per event, deduped on linkedin_job_id.
post · https://your-app.com/webhooks/linkfetch200 ok within 5s
{
"event": "jobs.created",
"delivered_at": "2026-04-29T08:14:32Z",
"filter_id": "flt_a8c2",
"data": {
"linkedin_job_id": "4072311928",
"title": "Staff Backend Engineer",
"company": { "name": "Vercel", "slug": "vercel", "id": 14080355 },
"location": "San Francisco, California, United States",
"workplace_type": "remote",
"level": "staff",
"employment_type": "full_time",
"salary": { "min": 220000, "max": 290000, "currency": "USD", "interval": "year" },
"easy_apply": false,
"posted_at_precise": "2026-04-29T08:13:11Z",
"first_seen_at": "2026-04-29T08:14:18Z",
"is_active": true,
"canonical_url": "https://www.linkedin.com/jobs/view/4072311928/"
},
"source": "linkfetch.jobs.index",
"signature": "t=1714378472,v1=…"
}signed payload · retries with exponential backoff · dead-letter at 24h
vs · the alternatives
Six things you'd otherwise pay $1,500/mo for.
| capability | LinkFetch | Coresignal | Bright Data |
|---|---|---|---|
| 01Floor price | $29 / mo | $49 / mo | $250 min |
| 02Real-time webhooks | All paid tiers | $1,500 / mo gate | Yes |
| 03is_active flag | Yes — re-checked on every crawl | Yes | Not surfaced |
| 04Parsed salary (min · max · currency · interval) | Yes | Yes | Range only |
| 05Self-serve, no demo | Yes | Starter only | Yes |
| 06MCP-native (Claude / Cursor / Zed) | Yes | — | — |
prices verified · 2026-04-29 · sources linked from the full teardowns
pricing · three tiers
One snapshot, or a pipeline.
No credits, no overage fees, no quota math. Flat price per snapshot, or a weekly sub if you're feeding a production pipeline.
most picked
subscriptiondataset
$89/month
Real-time jobs as they post — webhook-delivered to your pipeline. The right choice when you're building against the signal.
- ▸Real-time webhooks · < 60s latency
- ▸Plus daily + monthly snapshots
- ▸S3, GCS, R2, or HTTP endpoint
- ▸De-dup keyed on job_id
- ▸Cancel any time
customdataset
Customtalk to us
Historical backfill, custom geo/role/seniority filters, DPA, invoice billing, and a shared Slack channel.
- ▸Up to 12 months history
- ▸Custom facets · role · geo · seniority
- ▸SSO, DPA, invoice billing
- ▸Shared Slack channel
faq · six answers
The honest answers.
How fresh is the data?
The subscription tier is real-time — every new public posting fires a webhook to your endpoint within 60 seconds of first-seen. The monthly snapshot is a single rollup of the prior 30 days, regenerated daily for new customers.
What's the difference between the snapshot and the subscription?
The $49 monthly snapshot is a one-off download of the last 30 days. The $89/mo subscription streams jobs in real-time via webhooks, plus gives you daily and monthly rollup snapshots. Subscription is the right choice when you're building against the signal continuously; snapshot is right for a one-time pull.
Is this legal?
Yes. LinkFetch only indexes public LinkedIn job postings — listings any logged-out visitor can see. We don't operate fake accounts, we don't store session tokens, and every row carries a provenance stamp. We're aligned with GDPR and CCPA. A DPA is available on request for Custom-tier customers.
What format is the delivery?
CSV, JSON, or Parquet. Snapshots are downloadable links that expire in 72 hours. Subscription webhooks deliver one JSON payload per new job; we also push rollup snapshots to S3, GCS, or R2 of your choice.
How does it compare to buying API credits?
The API (credits) is the right choice when you want queries on-demand — a profile here, a company there. The dataset is the right choice when you want bulk — filling a BI warehouse, training a model, driving an agent on every new job. You can use both; many customers do.
Refunds?
Snapshots: if the row count is off by more than 10% from what we advertised at purchase, full refund. Subscriptions: cancel any time — we refund unused days pro-rated.
ready when you are