NoFluffJobs Extractor: Tech Jobs, Salaries, and Requirements Scraper

NoFluffJobs Extractor is a high-performance, production-ready web scraper designed to extract tech job postings, mandatory salary ranges, and technical skills from the NoFluffJobs platform. By directly parsing the server-rendered application state from the platform's HTML, this tool collects high-fidelity, structured job listings without the speed or reliability issues of visual browser crawlers.

All scraped data can be instantly downloaded as JSON, CSV, or Excel files, or streamed directly into your custom applications or Google Sheets.

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Why scrape NoFluffJobs?

NoFluffJobs is one of the premier tech job boards in Europe. Unlike traditional job platforms, NoFluffJobs enforces mandatory salary disclosures on every single posting, making it an invaluable goldmine of clean compensation data and technology demand.

With this extractor, you can easily harness this data for critical business workflows:

• Salary benchmarking: Track live compensation levels across different programming languages, framework stacks, and seniority levels to ensure your hiring offers remain competitive.
• Recruitment intelligence: Understand which libraries, development practices, and methodologies are actively demanded by European software engineering teams.
• Competitive intelligence: Monitor which companies are scaling up their development teams, what technologies they use, and where their engineering hubs are located.
• Labor market research: Create comprehensive analytical reports on remote work adoption, tech hub growth, and regional salary differences across Europe.

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Features

This actor is equipped with powerful configuration and reliability features:

• Per-category limit setting: Define a clean, independent limit on the number of jobs collected for each technology search handle or category in your run.
• Smart location filtering: Filter postings in memory across multiple cities or remote criteria. The location filter is diacritic-agnostic and case-insensitive, meaning searches for "krakow" will perfectly match "Kraków", and searches for "lodz" will match "Łódź" or "Zdalna" (remote).
• Zero visual scraper overhead: By targeting the server-side pre-rendered state within the HTML structure, the actor retrieves up to 100 job listings per request, running up to 10 times faster than headless browser configurations.
• Automatic data normalization: Translates raw fields into highly readable, structured formats (e.g. converting epoch timestamps into standardized ISO date strings, and splitting complex salary components).

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Input Parameters

The actor is configured via a straightforward JSON schema. The table below lists all supported settings:

Parameter	Type	Default	Description
categories	array	["Python"]	Required. A list of tech categories, technologies, or search handles to crawl (one per line, e.g. Python, javascript, devops, pm).
locations	array	[]	Optional. List of cities, countries, or remote filter terms (e.g. Warszawa, Kraków, Remote) to filter postings. Diacritic-agnostic and case-insensitive.
maxItemsPerCategory	integer	100	Maximum number of job listings to retrieve for each category or technology in your list (maximum limit of 1000).
requestTimeoutSecs	integer	30	Network request timeout limit in seconds.

Example Input Configuration

{
    "categories": ["Python", "javascript"],
    "locations": ["Warszawa", "Kraków", "Remote"],
    "maxItemsPerCategory": 150,
    "requestTimeoutSecs": 30
}

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Extracted Data Structure

Each job posting is returned as a clean, normalized JSON object inside your dataset. Below is an example of the output structure:

{
  "postingId": "lead-python-developer-antal-krakow",
  "title": "Lead Python Developer",
  "companyName": "Antal",
  "category": "backend",
  "seniority": ["Senior", "Lead"],
  "technology": "Python",
  "jobUrl": "https://nofluffjobs.com/job/lead-python-developer-antal-krakow",
  "fullyRemote": false,
  "locationPlaces": [
    {
      "city": "Kraków",
      "street": "Pawia 23",
      "postalCode": "31-154",
      "countryName": "Poland",
      "countryCode": "POL"
    }
  ],
  "hybridDescription": "6 days per month in office in Kraków",
  "salaryFrom": 30240,
  "salaryTo": 36960,
  "salaryType": "b2b",
  "salaryCurrency": "PLN",
  "salaryDisclosed": "VISIBLE",
  "postedTimestamp": "2026-06-01T12:00:00.000000+00:00",
  "renewedTimestamp": "2026-06-06T14:30:00.000000+00:00",
  "requirements": ["Python", "Clean Code", "Agile", "SQL"],
  "scrapedAt": "2026-06-06T12:00:00.000000+00:00"
}

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Field Descriptions

• postingId (string): The unique URL slug or identifier of the listing.
• title (string): The professional title of the job offer.
• companyName (string): The name of the hiring company.
• category (string): The primary engineering category (e.g. backend, frontend, devops, mobile).
• seniority (array): Seniority levels target by the employer (e.g. Junior, Mid, Senior, Lead).
• technology (string): Main language or technology stack requested.
• jobUrl (string): Direct absolute web URL to the job listing page.
• fullyRemote (boolean): Flag indicating if the role is 100% remote.
• locationPlaces (array): Complete details of office locations (city, street, postal code, country).
• hybridDescription (string): Text detail of the hybrid schedule requirements.
• salaryFrom (integer / null): Minimum monthly salary limit. Returns null if undisclosed.
• salaryTo (integer / null): Maximum monthly salary limit. Returns null if undisclosed.
• salaryType (string / null): Employment agreement type (e.g. b2b, uop).
• salaryCurrency (string / null): Currency abbreviation (e.g. PLN, EUR, USD).
• salaryDisclosed (string / null): Visual status indicator of the salary ranges.
• postedTimestamp (string / null): ISO formatted posting date and time.
• renewedTimestamp (string / null): ISO formatted last renewal date and time.
• requirements (array): Key technical requirements and skills extracted from the posting.
• scrapedAt (string): Precise timestamp when the data was extracted.

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FAQ

Can I run this actor without setting up proxies?

Yes. The actor runs on built-in premium bypass infrastructure. You do not need to purchase or configure your own proxies or manage rotated IP setups.

How does the locations filter work with accents and capitalization?

The location matching is completely automated to be user friendly. It normalizes all strings by removing diacritic marks and casing before matching. Entering "krakow" or "lodz" will seamlessly capture listings published with city names like "Kraków" or "Łódź".

Why are some salary fields returned as empty (null)?

Although NoFluffJobs encourages full transparency, employers occasionally hide precise ranges. When a listing hides salaries, the minimum and maximum fields are returned as null, and the salaryDisclosed property will set to UNDISCLOSED.

Can I export the data to Google Sheets?

Yes. Every Apify dataset can be connected to Google Sheets, Zapier, or Make. You can configure webhooks or leverage Apify integrations under the Integrations tab of your run console to sync extracted postings automatically.