NoFluffJobs Scraper

NoFluffJobs is one of the few job boards in Europe where every advert has to show a salary. That makes it a rare source of clean pay data, but the site renders everything in the browser, so copying figures by hand across hundreds of adverts gets old fast. This scraper does the reading for you. Hand it a list of tech terms and it pulls each advert's role title, employer, salary band, required skills, and office location into one tidy row that loads straight into a spreadsheet or database.

What you get

One row per advert, with the same columns every time. Anything the advert leaves out comes back as null rather than disappearing, so your table stays rectangular when you load it. Each row covers three things:

• The role — roleTitle, employerName, jobField, seniorityLevels, techStack, skillsRequired, listingUrl
• Pay — payMin, payMax, payCurrency, contractType, payVisibility
• Where and when — remoteFriendly, officeLocations, hybridDetails, publishedAt, refreshedAt, collectedAt

Quick start

1. Press Try for free and open the input form.
2. Type one or more tech terms into Tech terms or categories — java, react, devops, whatever you track.
3. Optionally add a Location filter and set Adverts per term to cap each search.
4. Hit Start, then download the dataset as JSON, CSV, Excel, or XML once the run finishes.

Use cases

• Salary benchmarking — compare real pay bands across languages, stacks, and seniority before you make an offer
• Recruitment research — see which skills and tools European engineering teams ask for right now
• Hiring trend tracking — watch which companies are growing their teams and in which cities
• Remote-work analysis — measure how much of the market is fully remote versus hybrid
• Talent sourcing — build a shortlist of employers hiring for a specific stack and location
• Market reports — feed structured pay and demand data straight into your analytics

Input

Field	Type	Required	Description
searchTerms	array of strings	Yes	Technologies, disciplines, or search handles to crawl, one per line (e.g. java, react, data, devops).
locationFilters	array of strings	No	Keep only adverts in given cities, countries, or a remote keyword (e.g. Gdańsk, Wrocław, Remote). Accents and case are ignored.
resultsPerTerm	integer	No	Most adverts to keep per term. Default 15.
timeoutSeconds	integer	No	Seconds to wait on a single request before giving up. Default 45.

Example input

{
    "searchTerms": ["java", "react", "data"],
    "locationFilters": ["Gdańsk", "Wrocław", "Remote"],
    "resultsPerTerm": 15,
    "timeoutSeconds": 45
}

Output

Each advert becomes one row. Every field is always present — values the advert does not disclose come back as null, so the dataset loads cleanly into any tool.

Example output

{
    "jobId": "senior-java-developer-allegro-warszawa",
    "roleTitle": "Senior Java Developer",
    "employerName": "Allegro",
    "jobField": "backend",
    "seniorityLevels": ["Mid", "Senior"],
    "techStack": "Java",
    "listingUrl": "https://nofluffjobs.com/job/senior-java-developer-allegro-warszawa",
    "remoteFriendly": false,
    "officeLocations": [
        {
            "city": "Warszawa",
            "street": "Targowa 73",
            "postalCode": "03-729",
            "countryName": "Poland",
            "countryCode": "POL"
        }
    ],
    "hybridDetails": "8 days per month in office in Warszawa",
    "payMin": 22000,
    "payMax": 28000,
    "contractType": "b2b",
    "payCurrency": "PLN",
    "payVisibility": "VISIBLE",
    "publishedAt": "2026-06-02T09:00:00.000000+00:00",
    "refreshedAt": "2026-06-09T11:15:00.000000+00:00",
    "skillsRequired": ["Java", "Spring", "Kafka", "SQL"],
    "collectedAt": "2026-06-10T08:30:00.000000+00:00"
}

Output fields

Field	Type	Description
jobId	string	Stable identifier for the advert
roleTitle	string	Headline of the advertised role
employerName	string	Company that posted the opening
jobField	string	Discipline the role sits in, such as backend or frontend
seniorityLevels	array	Experience bands being hired for, e.g. Junior, Mid, Senior, Lead
techStack	string	Main language or framework attached to the advert
listingUrl	string	Absolute link to the advert page
remoteFriendly	boolean	True when the role is fully remote
officeLocations	array	Workplaces tied to the role (city, street, postal code, country)
hybridDetails	string	Notes on the hybrid setup, such as required office days
payMin	integer	Lower bound of the salary band when shared; null otherwise
payMax	integer	Upper bound of the salary band when shared; null otherwise
contractType	string	Engagement form behind the figures, e.g. b2b or uop
payCurrency	string	Currency the pay band is quoted in, e.g. PLN, EUR, USD
payVisibility	string	Whether the pay band is shown or held back
publishedAt	string	ISO 8601 time the advert first went live
refreshedAt	string	ISO 8601 time the advert was last bumped
skillsRequired	array	Skills and must-haves pulled from the advert
queryField	string	Search term being crawled when a row failed
errorMessage	string	Reason a term could not be collected; absent on healthy rows
collectedAt	string	ISO 8601 stamp marking when the row was captured

Tips for best results

• Start with a couple of terms. Run two or three before you queue a long list, so you can confirm the columns match your pipeline.
• Use resultsPerTerm to control spend. Keep it low while testing, then raise it for the full pull.
• Lean on the location filter. It ignores accents and case, so gdansk still catches Gdańsk and remote matches fully remote roles.
• Expect some blank pay fields. A handful of employers hide their band; those rows return null for payMin and payMax, with payVisibility flagging the gap.
• Raise timeoutSeconds if you see frequent timeout errors on a slow connection.

How can I use NoFluffJobs job data?

How can I use the NoFluffJobs Scraper to benchmark tech salaries? Crawl the terms you care about — say java, react, and data — and the scraper returns each advert's payMin, payMax, payCurrency, and contractType alongside the role and seniority. Group the rows by stack or experience band to see what the market actually pays before you set an offer.

How can I track which skills employers want on NoFluffJobs? Every row carries skillsRequired, techStack, and jobField. Pull a few weeks of adverts for your discipline, count how often each skill shows up, and you have a live picture of demand to guide hiring, training, or your own learning roadmap.

How can I export NoFluffJobs adverts for market research? Set resultsPerTerm high, add the terms and locations you want, and run it. The dataset downloads as JSON, CSV, or Excel, or streams into Google Sheets and other tools through Apify integrations — so a recurring labour-market report becomes a scheduled job instead of manual copy-paste.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.