Signal Lab/Workflows/Job Vacancy Scraper

READY-TO-RUN WORKFLOW

Build a structured job-market dataset

Extract normalized vacancies from public career pages with Schema.org JobPosting data for hiring and labor-market research.

BUILT FORRecruiting analysts, researchers, sales intelligence teams, and job-data builders
LIVE PRICINGFrom $0.70 per 1,000 results

THE OUTCOME

Clean vacancy rows with role, employer, location, salary, dates, employment type, remote status, and source URL.

  1. 1

    Add public career or job-detail URLs.

  2. 2

    Run a small sample to confirm the pages expose JobPosting data.

  3. 3

    Export normalized vacancy rows to CSV, Excel, or JSON.

  4. 4

    Combine the dataset with Hiring Signal Intelligence for company-level analysis.

STRUCTURED OUTPUT

Fields ready for export and automation

Job titleCompanyLocationRemoteEmployment typeSalary rangeDate postedValid throughSource URL

COMMON QUESTIONS

Before you run the workflow

Which job pages work best?

Public pages that expose Schema.org JobPosting JSON-LD provide the most complete and predictable output.

Does it crawl an entire job board automatically?

The Actor is intentionally bounded. Supply the public pages you are authorized to collect and set a hard result cap.

Can the results be analyzed by company?

Yes. The dataset can be passed to Signal Lab Hiring Signal Intelligence for aggregation and role clustering.

START WITH A BOUNDED SAMPLE

Open the Actor, keep the sample small, and inspect the first dataset.

Run this exact example