Job Postings Normalizer — one clean format for any job scraper

For job-board builders, recruiters and labour-market analysts who collect jobs from several scrapers. You scraped LinkedIn Jobs, Indeed, Glassdoor or company career pages and now have five different field names for the same thing, salaries as free text, duplicates across runs and dates like "3 days ago". This Actor turns the output of any job scraper into one flat, consistent job list in a single run — no scraping, no proxies. $0.50 per 1,000 jobs written.

• Unified fields: title / jobTitle / positionName → title; company / companyName → company; location / jobLocation; url / jobUrl / link; salary / salaryText / salaryRange; postedAt / datePosted / publishedAt / postedTime and more
• Salary parsing: "$120,000 - $150,000 a year", "€50k–60k", "£25 per hour", "₹12 LPA" become salaryMin, salaryMax, salaryCurrency (ISO 4217) and salaryInterval (hour, day, week, month, year)
• Employment type: FULL_TIME, PART_TIME, CONTRACT, TEMPORARY, INTERN, OTHER
• Workplace type: remote, hybrid, onsite
• Country code (ISO 3166-1 alpha-2) from the country field or the end of the location text
• Dates as UTC ISO 8601 — also from "3 days ago", "Just posted", epoch timestamps
• Deduplication across several runs: same URL first, then same company + title + location
• Filters: title keywords, countries, remote only, minimum yearly salary, posted within N days
• Original values are kept in *Raw fields (salaryRaw, employmentTypeRaw, postedAtRaw, …); surrounding whitespace is trimmed
• No contact data: e-mail addresses and phone numbers in descriptions are replaced with [email removed] / [phone removed], and mailto: / tel: links are dropped
• $0.50 per 1,000 jobs written. Reading, duplicates and filtered-out rows are free.

Works with the datasets of popular job scrapers and anything that uses similar field names.

Use cases

• Merge LinkedIn, Indeed and Glassdoor scraper runs into one deduplicated job feed
• Load jobs with numeric salaries and country codes into a database or BI tool
• Filter to remote, well-paid or recently posted roles for a job alert or newsletter

Input

{
  "datasetIds": ["<dataset ID of your job scraper run>"],
  "dedup": true,
  "titleKeywords": ["engineer"],
  "countries": ["US", "Germany"],
  "remoteOnly": false,
  "minSalary": 80000,
  "postedWithinDays": 14
}

Leave datasetIds empty to see a free demo on clearly fictional sample jobs (marked "_demo": true).

Notes on filters: minSalary compares the top salary converted to a yearly amount (hourly × 2,080, daily × 260, weekly × 52, monthly × 12); currencies are not converted. Jobs with no salary, no readable date or no known country are removed when the matching filter is set.

Output (one row per job)

{
  "title": "Backend Engineer", "company": "Acme", "location": "Berlin, Germany", "countryCode": "DE",
  "remote": false, "workplaceType": "hybrid", "employmentType": "FULL_TIME",
  "salaryMin": 60000, "salaryMax": 80000, "salaryCurrency": "EUR", "salaryInterval": "year",
  "postedAt": "2026-10-16T12:00:00Z", "url": "https://www.linkedin.com/jobs/view/123", "applyUrl": null,
  "jobId": "123", "description": "…",
  "countryRaw": null, "employmentTypeRaw": "Full-time", "workplaceTypeRaw": "Hybrid",
  "salaryRaw": "€60k–80k", "postedAtRaw": "2 days ago", "sourceDatasetId": "…"
}

Run statistics (itemsRead, duplicates, filteredOut, written, stoppedAtChargeLimit) are saved in the key-value store as STATS.

Pricing

Pay per event: $0.50 per 1,000 jobs written to the output (job event). Set a maximum cost per run and the Actor stops cleanly when it is reached.

Notes

This Actor only processes datasets you already own; it does not access any job site. Salary and country detection are best-effort: ambiguous values are left empty rather than guessed (a number without a currency sign has no currency). You are responsible for how the underlying data was collected and used.

More tools from the same developer

• Job Listings API — every open job from Greenhouse, Lever, Ashby, Workable, SmartRecruiters and Recruitee career sites
• Job Market Report — salary percentiles, top skills, remote share and role/country segments from normalized job data
• Dataset Merge & Dedup — merge Apify datasets and remove duplicates by the fields you choose
• Google Sheets Export — export an Apify dataset to Google Sheets
• Japanese Text Toolkit — furigana, romaji, wareki dates and normalization for Japanese text