Foundit Jobs Scraper

Stop re-checking Foundit by hand: get only the new jobs for your searches every morning — in a sheet, Slack or your own job board. Search Foundit (India) by keyword, location or a pasted search URL and get every matching job as clean JSON with the salary split into min / max / interval; schedule it and each run marks which jobs are new since your last run.

Try it now — the input is already filled in. Press Start: the example searches (java, data analyst) return about 100 jobs in India in about 30 seconds, for about $0.08.

title	company	location	experienceMinYears	experienceMaxYears	applicants
Java Developer (Storage Domain)	Tekishub Consulting Services Private Limited	Bengaluru	6	9	359
ITAO (Application Owner), AVP	Deutsche Bank	Pune, India	0	0	0
full stack developer intern	nefeon technology	Bengaluru, India	0	0	2

How "new since last run" works

The Actor remembers which jobs each search returned last time. A job it has not seen before is marked isNewSinceLastRun: true. If the whole search fits within Max jobs, the comparison is exact and jobs that disappeared come back as type: "closed" rows. If the search is bigger than Max jobs, a job only counts as new when it was also posted after your previous run — so an old job that merely moved into view is never reported as new.

Filters (title, location text, salary, remote) never change the comparison, so changing a filter never makes jobs look new.

What you get

Field
title, company, location, locations	as listed
experienceMinYears, experienceMaxYears	the experience range the employer asks for
salaryMin, salaryMax, salaryCurrency	INR per year, only when the employer shows it (most hide it)
applicants	how many people have applied so far
skills, industries, employmentType	as tagged on Foundit
description	the full job text (turn off with Include the full description)
postedAt, expiresAt, applyUrl	posting and closing dates, and where the Apply button goes
remote	true when the job's location says Remote or Work From Home; Foundit has no separate remote field, so other jobs are null (not known)
isNewSinceLastRun	true / false, or null on the first run (unknown, not "old")
jobUrl	link to the job on Foundit
search	which of your searches returned it

Input

Put one search per line in Searches (e.g. java) and optionally a Location (e.g. Bengaluru). Or set the filters on the site and paste the result page into Search URLs (e.g. https://www.foundit.in/srp/results?query=java&locations=Bengaluru) — every filter the site has then applies. Many searches in one run are cheaper than one run each.

A search the site refuses comes back as an error row and the run carries on.

Example output

One real row from a test run (long text shortened here with …).

{
  "type": "job",
  "provider": "foundit",
  "search": "java",
  "searchLocation": "Bengaluru",
  "jobId": "69366409",
  "title": "PLM Windchill Consultant",
  "company": "Infosys",
  "location": "Bengaluru, India",
  "locations": [
    "Bengaluru",
    "India"
  ],
  "experienceMinYears": 0,
  "experienceMaxYears": 0,
  "salaryMin": null,
  "salaryMax": null,
  "salaryCurrency": null,
  "salaryInterval": null,
  "employmentType": "Full time",
  "skills": [
    "lifecycle management",
    "PLM data models",
    "SOAP APIs",
    "Windchill",
    "Windchill customization",
    "PTC Windchill PLM PDMLink",
    "…"
  ],
  "industries": [
    "Other"
  ],
  "applicants": 0,
  "postedAt": "2026-10-07T01:50:22.000Z",
  "expiresAt": "2026-11-06T18:29:00.000Z",
  "jobUrl": "https://www.foundit.in/job/plm-windchill-consultant-infosys-bengaluru-bangalore-india-69366409",
  "applyUrl": "",
  "companyLogo": null,
  "countryCode": "IN",
  "remote": null,
  "seniority": "mid",
  "employmentTypes": [
    "full-time"
  ],
  "description": "- Primary skills:Technology->PDM , PLM->Windchill\n- Strong expertise in PTC Windchill PLM (PDMLink primarily).\n- Experience in Solution Architecture for PLM imp…",
  "isNewSinceLastRun": false
}

Get only the new jobs every morning (3 steps)

1. Open this Actor in Apify Console, fill in your searches, set What to return to Only jobs that are new since the last run, and click Save as a new task.
2. On the task, add a Schedule — for example daily at 07:00.
3. Open the task's Integrations tab and connect Slack, email, Google Sheets (or Zapier / Make / a webhook). Each morning you get only the new jobs.

You pay only for the new jobs plus $0.01 per run, so a quiet day costs about a cent. When you export by hand, pick the Jobs view: 12 tidy columns, title first, instead of every raw field.

Pricing

$0.70 per 1,000 jobs ($2.00 per 1,000 from 6 November 2026), plus $0.01 per run. Closed-job rows and errors are free. With Only jobs that are new since the last run, a daily schedule only pays for the new ones.

Don't know which companies to watch? The Greenhouse Jobs Scraper searches 4,800 companies by job title — no company names needed — and reports exactly which matching roles are new or closed each run.

**Measured, not estimated:** 500 jobs in 108 s, about **$0.0069 of Apify platform usage per 1,000 jobs** at 512 MB (our running cost — included in the price, nothing on top) (2026-09-30).

For AI agents

For a fast answer call with {"searches": ["java"], "maxJobsPerSearch": 20, "includeDescription": false} — a few seconds. The defaults (up to 200 jobs with full descriptions) can take about a minute, which is longer than many agent tool timeouts. Each row has type: job, closed or error. isNewSinceLastRun: null means "no previous run to compare with".

Same filters on every site (10/2026): experience level (read from the title: intern → executive, returned as a seniority column) and employment type (the site's own words normalised into full-time / part-time / contract / temporary / internship, returned as employmentTypes). They only narrow what is returned — no extra requests, no extra cost.

Zero rows is never ambiguous. The run's status message says why, per search — e.g. "zzz": no results on the site, results found but all removed by your filters or nothing new since the last run — and the OUTPUT record in the run's key-value store has the same as JSON: perSearch[].status is ok, no-results, all-filtered, nothing-new or error, with listed, read, returned, new and closed. Set summaryRows: true to get it as free type: "summary" rows instead.

Same core columns on every northbell job scraper (15 job sites + 10 company-career-page scrapers), so you can stack them into one table: jobId, title, company, location, countryCode (ISO, job sites), remote (true / false / null), employmentType (the site's own words), postedAt, jobUrl, salaryMin, salaryMax, salaryCurrency, salaryInterval, isNewSinceLastRun. Unknown is null, never a guess.

More job scrapers from northbell

Job sites: SEEK · Instahyre · Reed · InfoJobs · XING · Dice · HelloWork · Computrabajo · Foundit · jobs.ch · Arbeitsagentur · Arbeitnow · Remote OK · We Work Remotely.

Company career pages with exact new/closed tracking: Greenhouse · Lever · Workday · AI companies.