Instahyre Jobs Scraper

Stop re-checking Instahyre by hand: get only the new jobs for your searches every morning — in a sheet, Slack or your own job board. Search Instahyre (India) by keyword, location or a pasted search URL and get every matching job as clean JSON with company size, founding year and required skills; 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 (python, react) return about 100 jobs in under 20 seconds, for about $0.09.

title	company	location	companyEmployees	skills
Python Engineer	Nineleaps	Bangalore	200	API, FastAPI, Python
Python Developer	Big Assets Infra	Bangalore	50	fastapi, flask, mysql
Python Developer	PocketFM	Bangalore	1000	AWS, Django, FastAPI

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, companyTagline	as listed
companyEmployees, companyFounded	company size and founding year
location, locations, remote	every city listed; remote is true for "Work From Home"
skills	the skills the employer tagged
companyLogo	logo URL
isNewSinceLastRun	true / false, or null on the first run (unknown, not "old")
jobUrl	link to the job on Instahyre
search	which of your searches returned it

Input

Put one skill per line (e.g. python). Instahyre has no location search, so use Location contains (e.g. bangalore) to keep only the cities you want. 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": "instahyre",
  "search": "python",
  "jobId": "422869",
  "title": "Python Developer",
  "company": "UnionSys Technologies",
  "companyTagline": "Helping accelerate business",
  "companyFounded": 2008,
  "companyEmployees": 50,
  "location": "Bangalore,Gurgaon,Pune",
  "locations": [
    "Bangalore",
    "Gurgaon",
    "Pune"
  ],
  "remote": false,
  "skills": [
    "Apache Spark",
    "Python",
    "SQL",
    "Spark"
  ],
  "postedAt": null,
  "jobUrl": "https://www.instahyre.com/job-422869-python-developer-at-unionsys-technologies-bangalore-gurgaon-pune/",
  "companyLogo": "https://media.instahyre.com/images/profile/base/employer/16295/945ce37f24/0.webp",
  "countryCode": "IN",
  "employmentType": null,
  "seniority": "mid",
  "employmentTypes": [],
  "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: 8 tidy columns, title first, instead of every raw field.

Pricing

$0.80 per 1,000 jobs, 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:** 2000 jobs in 259 s, about **$0.0064 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": ["python"], "maxJobsPerSearch": 20} — a few seconds. The defaults (up to 200 jobs) 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.