NoFluffJobs Scraper — IT Jobs with Salaries

Scrape IT and business openings with mandatory salary transparency from NoFluffJobs — a single unified CEE/EU search index that already includes postings located in Poland, Czechia, Hungary, Slovakia, Ukraine, Netherlands and more (see the region field below for why there's nothing to select there).

What NoFluffJobs data does this scraper extract?

Each result is one flat JSON record per job posting:

Field	Meaning
id	Stable source-side identifier (alias of externalId)
externalId	Stable source-side identifier
source	Always "nofluffjobs" — which scraper produced this record
title	Job title as posted
company	Hiring company / organisation
location	Location / duty station (may include remote hints)
url	Direct link to the posting
category	NoFluffJobs category slug the posting was fetched under
seniority	Seniority levels listed on the posting
skills	Must-have skills/tech stack
postedAt	Posting date where the source provides it (ISO 8601)
salary	Salary text where the source provides it, e.g. "B2B 25000–32000 PLN"
salaryMin	Structured minimum salary (number, or null)
salaryMax	Structured maximum salary (number, or null)
salaryCurrency	Currency of salaryMin/salaryMax (or null)
salaryPeriod	Always "month" when salary numbers are present (NoFluffJobs is always queried with a monthly period), else null
snippet	Short description excerpt

How to scrape NoFluffJobs with this Actor

1. Click Try for free / Run — no login to the target site, no cookies, no proxies to configure.
2. Adjust the input (keyword, filters, maxItems) or keep the defaults.
3. Run it and export the dataset as JSON, CSV or Excel, or read it over the API.

Run it from your own code:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("nomad-agent/nofluffjobs-scraper").call(run_input={"maxItems": 50})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], "—", item["company"], item["url"])

Or a single HTTP call that runs the Actor and returns items in one response:

curl -X POST \
  "https://api.apify.com/v2/acts/nomad-agent~nofluffjobs-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 50}'

Input

Field	Type	Default	Notes
categories	array (select, multi)	["frontend"]	NoFluffJobs categories to fetch. Closed list verified live against the search API: backend, frontend, fullstack, mobile, embedded, testing, devops, architecture, security, game-dev, artificial-intelligence, data, sys-administrator, pm, agile, product-management, project-manager, business-intelligence, business-analyst, ux, support, erp, electronics, telecommunication, electrical-eng, automation, mechanics, sales, marketing, office-administration, hr, finance, consulting, customer-service, law, logistics, other, plus legacy alias ai-data.
maxItems	integer	100	Maximum total number of postings to return across all categories. Set 0 for no limit.
maxPages	integer	5	Maximum number of result pages to fetch per category (each page contains up to 50 postings).
salaryCurrency	string (select)	"EUR"	Currency in which salary ranges are returned. NoFluffJobs converts all salaries to this currency.
region	string (select)	"pl"	Kept for backward compatibility only. NoFluffJobs' public search API currently ignores this query parameter — verified by comparing result counts across pl/hu/cz/sk/ua/nl and an invalid value, all identical. All CEE/EU postings already come from one unified index regardless of this setting; "pl" is the only enum value today.
postedSince	integer (days)	0	Drop postings older than N days (based on postedAt). 0 disables the filter. Postings with a missing/unparseable postedAt always pass through.
titleExclude	array	[]	Drop postings whose title contains any of these strings (case-insensitive substring match).
companyExclude	array	[]	Drop postings whose company name contains any of these strings (case-insensitive substring match).
cacheTtlSeconds	integer	1800	Cache the upstream fetch in the key-value store for this many seconds; re-runs within the window skip the network call. Set 0 to disable.

Output example

{
  "id": "rust-developer-ocado",
  "externalId": "rust-developer-ocado",
  "source": "nofluffjobs",
  "title": "Rust Developer",
  "company": "Ocado Technology",
  "location": "Kraków (Hybrid)",
  "url": "https://nofluffjobs.com/job/rust-developer-ocado",
  "category": "backend",
  "seniority": "Mid, Senior",
  "skills": "Rust, Kubernetes, AWS",
  "salary": "B2B 25000–32000 PLN",
  "salaryMin": 25000,
  "salaryMax": 32000,
  "salaryCurrency": "PLN",
  "salaryPeriod": "month",
  "postedAt": "2026-06-29T10:15:17+00:00",
  "snippet": "level=Mid, Senior; skills=Rust, Kubernetes, AWS; salary=B2B 25000–32000 PLN"
}

Integrations

Export results as JSON, CSV or Excel; connect via Make, Zapier or n8n; call directly with run-sync-get-dataset-items; or plug into AI agents through the Apify MCP server.

Pricing

Pay per event: $0.05 per Actor start and $0.004 per job returned. 100 jobs ≈ $0.45. No subscription, no rental — you pay only for what you fetch.

Use cases

• Salary-transparency analytics for CEE
• Tech job boards and alert bots
• Compensation benchmarking by stack and seniority
• Sourcing in Poland and CEE

FAQ

Is it legal to scrape NoFluffJobs? This Actor reads only publicly available job postings — data any visitor can see without logging in. No personal data behind authentication is touched. Review the target site's terms and your local regulations for your specific use case.

Do I need an account on the target site? No. Postings are fetched from public pages/APIs — no login, cookies or session tokens.

How fresh is the data? Every run fetches live listings. Results are cached for cacheTtlSeconds (default 30 min, set 0 to always hit the source live).

How many jobs can I get? maxItems caps the run (set 0 where supported for no cap). Most sources paginate from newest to oldest.

Something broken or missing? Open an issue on the Actor's Issues tab — it is monitored and reliability fixes ship fast.

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