Pracuj.pl Jobs Feed: Poland Job Listings with Salary & Filters avatar

Pracuj.pl Jobs Feed: Poland Job Listings with Salary & Filters

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from $2.00 / 1,000 results

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Pracuj.pl Jobs Feed: Poland Job Listings with Salary & Filters

Pracuj.pl Jobs Feed: Poland Job Listings with Salary & Filters

Extract structured job listings from pracuj.pl — Poland's #1 job board. Structured salary parsing, incremental mode, 30+ output fields.

Pricing

from $2.00 / 1,000 results

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Black Falcon Data

Black Falcon Data

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4 days ago

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🔍 What is pracuj-jobs-feed Jobs Feed?

Extract structured job listings from pracuj.pl — Poland's largest job board with 79,000+ active listings.

pracuj-jobs-feed Jobs Feed

pracuj.pl is a public source platform, but it does not provide the kind of structured export most teams need for recurring data workflows. This actor bridges that gap by turning the source into clean JSON with salary fields, contact and apply details, company metadata, and full descriptions, with repeatable source access and a schema that is easier to reuse in dashboards, enrichment pipelines, and agent workflows.

🎯 What you can do with this actor

  • Feed compact listing data into AI agents, MCP tools, and ranking workflows without carrying full raw payloads every time.
  • Start with lightweight search runs, then enable detail enrichment only when you need deeper company or listing context.

✨ Why choose this actor?

FeatureThis actorTypical alternatives
Collection strategyCan stay lightweight or add enrichment only when neededOften fixed to one scraping mode
AI-agent usabilityCompact output mode for smaller, more controllable payloadsOften full payload only
Schema qualityKeeps salary fields, contact and apply details, company metadata, and full descriptions in a consistent output shapeOften inconsistent across runs
Stable downstream schemaTyped fields with nulls when unavailableOften requires extra cleanup

🚀 Quick start

Basic search:

{
"query": "software engineer",
"contractType": "",
"workMode": "",
"positionLevel": "",
"maxResults": 50,
"includeDetails": true,
"descriptionMaxLength": 0,
"compact": false,
"incrementalMode": false
}

Incremental monitoring:

{
"query": "software engineer",
"contractType": "",
"workMode": "",
"positionLevel": "",
"maxResults": 50,
"includeDetails": true,
"descriptionMaxLength": 0,
"compact": false,
"incrementalMode": true,
"stateKey": "daily-monitor"
}

📊 Sample output

{
"jobId": null,
"offerId": 0,
"title": null,
"company": null,
"companyId": 0,
"companyProfileUrl": "https://pracuj.pl",
"location": null,
"region": null,
"country": null,
"salaryText": null,
"salaryMin": 0,
"salaryMax": 0,
"salaryCurrency": null,
"salaryPeriod": null,
"employmentType": null,
"contractTypes": [],
"workModes": [],
"workSchedules": [],
"positionLevels": [],
"isRemote": false,
"description": null,
"technologies": [],
"responsibilities": null,
"requirements": null,
"offered": null,
"aiSummary": null,
"applyUrl": "https://pracuj.pl",
"contactPhone": null,
"remoteRecruitment": false,
"isOneClickApply": false,
"categories": [],
"url": "https://pracuj.pl",
"allOfferUrls": [],
"postedDate": null,
"expirationDate": null,
"scrapedAt": null,
"portalUrl": "https://pracuj.pl",
"source": null,
"changeType": null
}

⚙️ Input reference

ParameterTypeDefaultDescription
Search
querystringJob search keywords (e.g. 'software engineer', 'python developer').
locationstringCity or region (e.g. 'Warszawa', 'Kraków', 'Wrocław').
contractTypeenum""Filter by contract type.
workModeenum""Filter by work mode.
positionLevelenum""Filter by seniority level.
Limits
maxResultsinteger50Maximum total results. 0 = unlimited.
Enrichment
includeDetailsbooleantrueFetch full job details (description, technologies, apply URL). Slower but richer data.
descriptionMaxLengthinteger0Truncate description to N characters. 0 = no truncation.
Output
compactbooleanfalseReturn core fields only (for AI-agent/MCP workflows).
Incremental Tracking
incrementalModebooleanfalseOnly return new or changed listings since the last run.
stateKeystringUnique identifier for this tracked universe. Different stateKeys maintain independent state.

📦 Output fields

Each result can include salary fields, contact and apply details, company metadata, and full descriptions, depending on listing content and the enrichment options enabled for the run.

Core fields

FieldTypeDescription
titlestringTitle
locationstringLocation
regionstringRegion
countrystringCountry
salaryTextstringSalary Text
salaryMinintegerSalary Min
salaryMaxintegerSalary Max
salaryCurrencystringSalary Currency
salaryPeriodstringSalary Period
employmentTypestringEmployment Type
contractTypesarrayContract Types
workModesarrayWork Modes
workSchedulesarrayWork Schedules
positionLevelsarrayPosition Levels
isRemotebooleanRemote Allowed
technologiesarrayTechnologies
responsibilitiesstringResponsibilities
requirementsstringRequirements
offeredstringWhat's Offered
remoteRecruitmentbooleanRemote Recruitment
categoriesarrayCategories
urlstringListing URL
allOfferUrlsarrayAll Offer URLs
postedDatestringPosted Date
expirationDatestringExpiration Date
portalUrlstringPortal URL
changeTypestringChange Type

Detail and enrichment

FieldTypeDescription
descriptionstringDescription
aiSummarystringAI Summary

Contact and company

FieldTypeDescription
companystringCompany
companyProfileUrlstringCompany Profile URL
applyUrlstringApply URL
contactPhonestringContact Phone
isOneClickApplybooleanOne-Click Apply

Operational fields

FieldTypeDescription
jobIdstringJob ID
offerIdintegerOffer ID
companyIdintegerCompany ID
scrapedAtstringScraped At
sourcestringSource

⚠️ Known limitations

  • Contact information is only returned when the source exposes it directly; many listings will still rely on apply URLs rather than named contacts.
  • Company profile fields depend on source availability and may be limited for portals that do not expose employer metadata.
  • Field population rates always depend on the source site itself, so null values are normal for data points the source does not publish on every listing.

💰 How much does it cost to scrape pracuj jobs feed?

This actor uses pay-per-event pricing, so you pay a small run-start fee and then only for results that are actually emitted.

EventPriceWhen
actor-start$0.01Each run
result$0.002Per emitted record

Example costs:

ScenarioResultsCost
Quick test10$0.03
Daily monitor50$0.11
Full scrape500$1.01

💡 Use cases

Recruiting and sourcing

Pull pracuj.pl listings into dashboards, triage queues, or recruiter workflows without re-normalizing the source on every run.

Recurring monitoring

Track only newly posted or changed listings on scheduled runs, which is better suited to alerts and daily pipeline jobs than repeated full exports.

Outreach and hiring-intent research

Use employer, contact, and apply fields to support account research, outreach queues, or company watchlists when the source provides those details.

Salary and market analysis

Track salary ranges, titles, and locations over time to build a more structured view of demand on pracuj.pl.

AI-agent and MCP workflows

Feed compact listing data into ranking, summarization, classification, or agent pipelines without burning unnecessary context on large descriptions.

🤖 AI-agent and MCP usage

This actor is suitable for AI-agent workflows because the output is structured and the input can intentionally reduce payload size for downstream tools.

  • compact returns a smaller core schema for ranking, classification, and MCP tool calls.
  • descriptionMaxLength lets you cap description size so larger batches stay practical in model context windows.
{
"query": "software engineer",
"contractType": "",
"workMode": "",
"positionLevel": "",
"maxResults": 10,
"includeDetails": true,
"descriptionMaxLength": 300,
"compact": true,
"incrementalMode": false
}

🔄 Incremental mode

Incremental mode is intended for repeated monitoring runs where only new or changed listings should be emitted.

Change typeMeaning
NEWFirst time seen in the monitored result set
CHANGEDPreviously seen listing with updated content
UNCHANGEDSame listing and content as a prior run when unchanged emission is enabled
EXPIREDListing disappeared from the monitored result set when expired emission is enabled

📖 How to scrape pracuj jobs feed

  1. Open the actor in Apify Console and review the input schema.
  2. Enter your search query and location settings, then set maxResults for the amount of data you need.
  3. Enable optional enrichment fields only when you need richer output such as descriptions, contacts, or company data.
  4. Run the actor and export the dataset as JSON, CSV, or Excel for downstream analysis.

❓ FAQ

What data does this actor return from pracuj.pl?

It returns structured listing records with fields such as salary fields, contact and apply details, company metadata, full descriptions, plus the core identifiers and metadata defined in the dataset schema.

Can I fetch full descriptions and detail fields?

Yes. Enable the detail-related input options when you need richer fields such as descriptions, employer metadata, or contact details from the listing detail pages.

Does it support recurring monitoring?

Yes. Incremental mode is built for recurring runs where you only want newly seen or changed listings instead of a full repeat dataset every time.

Is it suitable for AI agents or MCP workflows?

Yes. Compact mode and output-size controls make it easier to use the actor in AI-agent workflows where predictable fields matter more than raw page size.

Why use this actor instead of scraping the site ad hoc?

Because it already handles repeatable source access, keeps a stable schema, and exposes filters and enrichment options in a form that is easier to automate repeatedly.

This actor is intended for publicly accessible data workflows. Always review the target site terms and your own legal requirements for the way you plan to use the data.