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Pintarnya Job Listings Scraper

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Scrape job listings from Pintarnya (Indonesia). Extracts job title, company, location, employment type, salary, and posting date from SSR __NEXT_DATA__ with API pagination fallback. No login required, pure HTTP — no browser.

Pricing

from $1.00 / 1,000 results

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0.0

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uzi

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Monthly active users

2 days ago

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Pintarnya Job Scraper — Indonesia Vacancies from pintarnya.com

Fast, lightweight, and reliable scraper for Indonesian job vacancies from Pintarnya — Indonesia's leading blue-collar and entry-level employment platform. The Pintarnya Job Scraper collects verified job postings with job title, company name, employment type, location, salary range, category, and canonical URL.

Features

Direct HTTP Architecture — Fast and lightweight crawler powered by got-scraping + cheerio. No headless browser overhead, near-zero startup latency.
SSR Next.js Data Extraction — Extracts clean structured data directly from Pintarnya's window.__NEXT_DATA__ and backend endpoints without requiring login.
Full Dataset Schema — Outputs itemId, itemName, itemUrl, company, companyUrl, location, jobType, salaryMin, salaryMax, salaryCurrency, postedAt, category, sourceLabel, and scrapedAt.
Automatic Pagination — Seamlessly traverses multiple pages up to your requested maxItems limit.
Optional Deep Details — Enrich jobs with subdistrict/district address and full company details with includeDetails: true.

Input Parameters

Field	Type	Default	Description
`searchUrls`	Array	`["https://pintarnya.com/"]`	Starting URLs to scrape
`maxItems`	Integer	`100`	Maximum number of job postings to return
`maxItemsPerPage`	Integer	`30`	Number of items per batch/page
`includeDetails`	Boolean	`false`	Whether to fetch individual job detail pages
`proxyConfiguration`	Object	`{ "useApifyProxy": false }`	Optional Apify Proxy configuration

Output Sample

{
  "itemId": "sales-canvas-899217",
  "itemName": "SALES CANVAS MYREPUBLIC",
  "itemUrl": "https://pintarnya.com/lowongan/sales-canvas-899217",
  "company": "PILAR SURYA CEMERLANG",
  "companyUrl": null,
  "location": "Kota Adm. Jakarta Pusat, DKI Jakarta",
  "jobType": "Contract",
  "salaryMin": 3000000,
  "salaryMax": 4500000,
  "salaryCurrency": "IDR",
  "postedAt": "2026-10-13T00:20:13.678Z",
  "category": "Penjualan",
  "sourceLabel": "pintarnya.com",
  "scrapedAt": "2026-10-29T00:29:58.276Z"
}

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