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Inhire Job Scraper

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from $0.34 / 1,000 job results

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Inhire Job Scraper

Inhire Job Scraper

Scrapes job offers from inhire.io: salaries, contract types, work mode, experience levels, locations and the full description. Same output schema as our other Polish job portal actors.

Pricing

from $0.34 / 1,000 job results

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DataWatcher

DataWatcher

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InHire.io Jobs Scraper

Scrape InHire.io jobs from inhire.io, the Polish job board for IT and business roles, and get clean data as JSON, CSV or Excel: salaries (also per month), skills, experience in years and level, contract types, locations and company. No browser, no login: it uses inhire.io's public JSON API, and you can run it from the Apify API too.

🔎 What does InHire.io Jobs Scraper do?

  • Searches inhire.io by keywords, cities, categories, work type, experience level, contract type and "with salary only", or reads any listing or offer URL you paste.
  • Returns one row per offer. With extractFullDetails on, each offer is read in full: description (text and HTML), benefits, street and coordinates, and the company profile (website, size, address, active offers, history).

⭐ Why this one

1️⃣ One schema across job portals. All our job actors share one output schema and one input schema. Build your pipeline once: our other job actors (NoFluffJobs, Just Join IT, Pracuj.pl, Bulldogjob, RocketJobs.pl, theprotocol.it, BlueLionJob, Skillshot.pl, Hollylist) take the same input and return the same fields, so adding a portal means changing the actor name, not your code.

  • Low price, no start fee. $0.40 per 1,000 offers; the other inhire.io scraper we found charges $2.00 and adds a start fee. You pay only for rows you get.
  • Salaries per month, plus the employer's own figures. Each pay range starts with a monthly entry; a pay per hour or day also keeps the employer's own figures as a second entry (isOriginal true). Each entry has min, max, currency, period, contractType and grossNet. Gross or net follows the contract: employment is gross, B2B is net.
  • Experience as years and as a level. Each offer gets minYears and a level: under 2 years junior, 2 to 4 mid, 5 and more senior. The years the description states win over the portal's dropdown figure.
  • Skills split into must-have and nice-to-have, read from the requirements and nice-to-have sections of the description.
  • Remote and hybrid offers keep their city when the portal gives one.
  • Rich company data: with details on, each employer's inhire.io profile is read too (website, size, address, active offers, history).
  • Honest runs: a run summary and a health status. A search that fails writes an unbilled diagnostic row.
  • Fast: public JSON API, 50 offers per page, no browser.

🚀 How to scrape InHire.io jobs

  1. Open the actor on Apify and click Try for free.
  2. Fill in keywords, cities and filters, or paste an inhire.io listing or offer URL into startUrls.
  3. Click Start.
  4. Download the InHire.io jobs data as JSON, CSV or Excel from the Output tab, or fetch it with the Apify API.

Data

This actor returns only what the site shows publicly at run time. We don't store or keep that data and are not its controller — you decide how you use it.

This is an independent tool, not affiliated with or endorsed by inhire.io; trademarks belong to their owners. It reads only public job pages: no login, no recruiter accounts. You are responsible for following inhire.io's terms and data-protection law (GDPR and others).

🤖 Use with AI agents (MCP)

AI assistants (Claude, ChatGPT, Cursor…) can run this actor through Apify's MCP server. Connect the server in your assistant, then ask, for example:

Use the InHire.io Jobs Scraper to find senior data offers that are fully remote and show a salary. Show the 10 best-paid, with company, salary, period and link.

🔌 Run it your way

  • Schedule it with Apify schedules for daily new-job feeds.
  • Call it from the Apify API and its clients (Python, JavaScript).
  • Connect it to Make, n8n, Zapier, webhooks or Google Sheets.
  • Ask an AI agent to run it: see Use with AI agents (MCP).

⚙️ Input

Every job actor of ours takes the same inputs. Example: Python offers in Warsaw, B2B or employment, remote or hybrid, mid or senior, with full details:

{
"searchQueries": ["python"],
"locations": ["Warszawa"],
"contractTypes": ["b2b", "employment"],
"workType": ["remote", "hybrid"],
"experience": ["mid", "senior"],
"maxResults": 50,
"extractFullDetails": true
}
FieldDefaultNotes
maxResults50Offers in total. 0 = no limit (the run timeout still applies). On the free Apify plan a run returns up to 1,000 offers
startUrls–inhire.io listing pages (https://inhire.io/?locations=1&roles=it,business_analyst) or offer pages (https://inhire.io/praca/...). A listing URL is read as that listing; an offer URL is always read from its own page. The filters below still apply to the rows
searchQueries–Keywords, one search per line (a technology, a company or a job title). The actor matches them on title, company and skills, since the site has no search term. Empty: every offer
locations–City names; accents and case do not matter (Krakow = Kraków = KRAKÓW). Empty: anywhere
categories–backend, frontend, fullstack, mobile, devops, data, ai-ml, testing, security, it-admin, support, embedded, gamedev, erp, architecture, project-management, product, ux-ui, business-analysis, sales, marketing, hr, finance, customer-service, engineering, logistics, legal, administration, consulting, education, healthcare, construction
contractTypes–employment, b2b, mandate, specific-task
workType–remote, hybrid, onsite (applied by the actor on the rows)
experience–junior, mid, senior (applied by the actor on the rows)
withSalaryOnlyfalseOnly offers that show a salary
extractFullDetailsfalseOff: listing-level rows, cheaper and faster. On: each offer is read in full for the description, benefits, street and coordinates, skills and company profile. An offer URL is always read in full
maxConcurrency1Searches and detail pages processed in parallel
maxRequestsPerMinute60Request rate for the whole run
proxyConfigurationoffApify Proxy settings, useful when many detail pages are requested
maxRequestRetries2Retries after a failed request

inhire.io lists about 565 offers in total, so one run without filters reads the whole board.

🧭 Input modes: what you give, what you get

One actor, six ways to use it. The mode follows from what you fill in.

ModeYou giveRowsOffer pages read
🟢 1. Default searchnothing (empty input)Newest offers, up to maxResultsOnly with extractFullDetails on
🔤 2. Keyword searchsearchQueriesOffers matching the keywordsOnly with extractFullDetails on
🎛️ 3. Filtered searchone or more filters, keywords optionalOffers matching the filtersOnly with extractFullDetails on
🔗 4. Listing / search URLstartUrls with a listing URLThat listing, as the site shows itOnly with extractFullDetails on
📄 5. One offer URLstartUrls with an offer URLThat one offerAlways (a full row either way)
🧩 6. URLs + filtersstartUrls plus filtersOnly rows matching the filtersOffer URLs always; listed offers only with extractFullDetails on

Minimal input for each mode (real inputs from our test runs). Add "extractFullDetails": true to any of them for full rows.

{"maxResults": 3}
{"searchQueries": ["python"], "maxResults": 3}
{"searchQueries": ["python"], "locations": ["Warszawa"], "contractTypes": ["b2b", "employment"], "workType": ["remote", "hybrid"], "experience": ["mid", "senior"], "maxResults": 3}

🔗 4. Listing / search URL

{"startUrls": [{"url": "https://inhire.io/?locations=1&roles=it,business_analyst"}], "maxResults": 3}

📄 5. One offer URL

{"startUrls": [{"url": "https://inhire.io/praca/senior-businesssystems-analyst-remote-poland--job-arbeit-222279"}]}

🧩 6. URLs + filters

{"startUrls": [{"url": "https://inhire.io/?locations=1&roles=it,business_analyst"}, {"url": "https://inhire.io/praca/senior-businesssystems-analyst-remote-poland--job-arbeit-222279"}], "withSalaryOnly": true, "maxResults": 3}

With a start URL, the actor matches the rows against your filters itself.

📦 Output: InHire.io jobs data

A real row from an offer URL with details on (shortened; empty fields left out):

{
"recordType": "job",
"source": "inhire",
"id": "222279",
"url": "https://inhire.io/praca/senior-businesssystems-analyst-remote-poland--job-arbeit-222279",
"title": "Senior Business-Systems Analyst",
"company": {
"id": "connectis",
"name": "Connectis",
"url": "https://connectis.pl",
"profileUrl": "https://inhire.io/pracodawca/connectis",
"size": "200-500",
"activeOffersCount": 43
},
"workType": [{"type": "remote", "remotePercent": 100, "remoteCountries": ["PL"]}],
"categories": [{"value": "business-analysis", "original": "IT Analyst"}],
"experience": {"levels": [{"value": "senior", "original": "5+", "minYears": 5, "source": "portal"}]},
"contractTypes": [{"value": "b2b", "original": "contract", "source": "portal"}],
"salaries": [
{"contractType": "b2b", "currency": "PLN", "grossNet": "net", "min": 24864, "max": 26208, "period": "month", "isOriginal": false},
{"contractType": "b2b", "currency": "PLN", "grossNet": "net", "min": 148, "max": 156, "period": "hour", "isOriginal": true}
],
"skills": [
{"name": "SQL", "required": true, "source": "portal"},
{"name": "Jira", "required": false, "source": "description"}
],
"languages": {"offer": "pl", "requirements": [{"code": "en", "level": "C1", "required": true}]},
"description": {"text": "…", "html": "…"},
"dates": {"posted": "2026-10-12", "expires": "2026-10-26", "scraped": "2026-10-26T19:12:44Z"},
"extensions": {"applyUrl": "https://hub.connectis.pl/offer/…", "isRemoteRecruitment": true}
}

Missing data is null, never a guess. dates.posted and dates.renewed come from the offer's image stamp, so they are approximate. inhire.io has no data for workTime, languages.recruitment, locations.postalCode and skills.level: these stay null.

Run status. After each run, open the run's key-value store (Storage tab) to see how it went:

  • RUN_HEALTH: ok, or degraded with the reason (no rows, a failed request, a warning, or a row that broke a data rule).
  • RUN_SUMMARY: the run's numbers: rows, requests, retries, failed requests, warnings and billed events.

💰 Pricing (Pay-Per-Event)

EventPriceTrigger
Result row (job-scraped)$0.0004 (= $0.40 / 1,000)Per offer returned
Details row (job-details-scraped)+$0.0015 (= +$1.50 / 1,000)Per offer read in full (extractFullDetails on, or an offer URL)

No start fee: a run costs only the rows it returns. Diagnostic rows are never billed. Example: 1,000 offers with details = $0.40 + $1.50 = $1.90.

Free plan: each run returns up to 1,000 offers, with full details; paying Apify plans have no cap per run.

🎯 Use cases

  • Track new openings for a role or stack on a daily schedule.
  • Feed a job board aggregator or a personal job-search dashboard.
  • Compare pay by contract type, city and experience level.
  • Market research: which skills and seniority levels are in demand.
  • Lead lists of hiring companies.
  • Run the same pipeline over several Polish job portals, since they share one schema.

❓ FAQ

How many offers can I get?

As many as maxResults says (0 = no limit). inhire.io lists about 565 offers, so one run can read the whole board.

How do I export InHire.io jobs to Excel or CSV?

Run the actor, open the Output tab and pick Excel or CSV in the export options. JSON, XML and HTML are there too, and the Apify API returns the same data.

How do I get InHire.io salary data?

Every offer row has a salaries list with min, max, currency, period, contractType and grossNet. Turn on withSalaryOnly to get only offers that show pay.

Can I combine it with other portals?

Yes. All our job actors share one output schema and one input schema, so rows from different portals fit one table. See the list below.

🔗 Other Polish job scrapers (same schema)

💬 Feedback and custom work

Need another portal, a field or a custom feed? Open an issue on the Issues tab.