01 DATA WORKERS FOR AI AGENTS

Your agent needs ground truth.

Deploy a production-grade LinkedIn Jobs worker. Send a search request, receive structured job data, and keep your agent moving.

FOLLOW THE LAUNCH INSPECT WORKER
LINKEDIN JOBSPRIVATE BETAJSON / CSV
MEKA / LINKEDIN_JOBS
RUN_00421
01agent.request({02role: "AI Engineer",03location: "Singapore",04limit: 10005})
01 REQUEST ACCEPTED 0.2s
02 SEARCH COMPLETE 11.8s
03 DETAILS ENRICHED 27.4s
OUTPUT / DATASET200 OK
{
  "jobId": "4219074168",
  "title": "Senior AI Engineer",
  "company": "Northstar Labs",
  "location": "San Francisco, CA",
  "workplaceType": "Hybrid",
  "postedAt": "2026-09-15",
  "applicants": 37
}
99 RECORDS READY27.4 SEC
VERIFIED SIGNAL

Measured against matching live runs—not marketing estimates.

99/100

Golden-run job ID match

199

Countries supported

3.6 rps

Measured throughput

WORKER_01PRIVATE BETA

LinkedIn Jobs
Data Worker

Turn a role, location, or search URL into clean, enriched job records—without maintaining a crawler, pagination, or recovery logic.

INPUTSearch intentOUTPUTStructured records
CAPABILITY MAP
  1. 01
    Search precisely

    Keywords, location, time range, company, experience, and workplace type.

  2. 02
    Traverse completely

    Automatic pagination and deduplication across the result set.

  3. 03
    Enrich reliably

    Open every listing for full descriptions and normalized detail fields.

  4. 04
    Recover gracefully

    Retries and checkpoint-aware execution keep long runs moving.

OUTPUT SCHEMA12 FIELDS
01job_idUnique listing identifier
02titleRole title
03companyCompany name and URL
04locationCity, region, and country
05descriptionComplete job description
06salaryAvailable compensation data
07applicantsCurrent applicant count
08seniorityNormalized seniority level
09industriesCompany industry tags
10posted_atPublished timestamp
11expires_atListing expiration date
12apply_urlDirect application URL
EXECUTION PROTOCOLONE TASK IN / USEFUL DATA OUT

Built to finish
the whole job.

Meka handles the machinery between intent and usable data, so your agent can focus on the decision.

  1. 01
    IN
    Describe the search

    Provide keywords, a location, filters, or an existing LinkedIn search URL.

  2. 02
    RUN
    Let the worker operate

    Search, paginate, enrich, deduplicate, retry, and checkpoint automatically.

  3. 03
    OUT
    Use clean records

    Receive a consistent Apify Dataset ready for agents, pipelines, and exports.

ACCESS CHANNELSHUMAN NOW / AGENT-NATIVE NEXT

One worker.
Two ways in.

Start with an established workflow on Apify. Stateless x402 access will let agents discover, pay, and call workers directly.

A / 01 LAUNCHING

Run on Apify

Launch runs, schedule searches, monitor execution, and export datasets from a familiar interface.

FOLLOW THE LAUNCH
X / 02COMING NEXT

Pay with x402

Account-free, metered HTTP access designed for autonomous agent workflows.

API ACCESS IN DEVELOPMENT
01 LINKEDIN JOBS DATA WORKER

Give your agent
a job-market body.

FOLLOW ON APIFYPRIVATE BETA / WORKER_01