NoFluffJobs Scraper — Tech Jobs Poland & Europe

What does NoFluffJobs Scraper do?

NoFluffJobs Scraper extracts structured job data from nofluffjobs.com — including salary data, apply URLs, company metadata, full descriptions, remote-work indicators, and skill tags. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them.

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Key features

• 🌎 6-market coverage — 6 EU CEE markets supported — nofluffjobs.com. One actor, one codebase, one input shape across the region. Pick a country per run, or schedule parallel runs per market for a unified hiring feed.
• ♻️ Incremental mode — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Nofluffjobs jobs" pings to your hiring channel.
• 📋 Detail enrichment — two-stage mode: list, then enrich each job with the full description + detail-page fields (apply counts, education, etc.). One toggle, no extra orchestration.
• 📧 Email + phone extraction — every record carries extractedEmails[] and extractedPhones[] regex-pulled from the description — direct-outreach lists with no extra processing step.
• 🔗 URL + social-profile extraction — every record carries extractedUrls[] and structured socialProfiles { linkedin, twitter, github, … } parsed from the description — useful when employers drop their careers page or recruiter LinkedIn in-line.
• 📦 Compact mode — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• 📌 Change classification — each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired. Repost detection flags previously-expired listings that come back.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).

What data can you extract from nofluffjobs.com?

Each result includes Core listing fields (jobId, jobKey, title, location, countries, region, isFullyRemote, and isHybrid, and more), detail fields when enrichment is enabled (benefits, description, descriptionText, descriptionHtml, and descriptionMarkdown), apply information (applyOption and applyUrl), and company metadata (company, companySize, companyLogo, and companyWebsite). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Filter by keyword (matches title, technology, category, or skill tags). Leave empty to fetch all jobs.
• country — Restrict to a specific country. Leave empty for all countries. (default: "")
• category — Filter by category (e.g. backend, frontend, data, devops, testing, artificialIntelligence).
• maxResults — Maximum jobs to return (0 = all). (default: 0)
• includeDetails — Fetch full job details (tasks, requirements, benefits, apply URL). Adds one extra request per job. (default: true)
• descriptionMaxLength — Truncate description to N characters. 0 = no truncation. (default: 0)
• compact — Return core fields only (optimized for AI-agent / MCP workflows). (default: false)
• incrementalMode — Compare against previous run and emit only new / changed / expired jobs. (default: false)
• stateKey — Optional stable identifier for the tracked search universe. Leave empty to auto-derive a stable identifier from your search inputs — different keyword/location/filter combinations get isolated state automatically.
• emitUnchanged — Also emit jobs with no changes since the last run (incrementalMode only). (default: false)
• emitExpired — Also emit jobs that have disappeared since the last run (incrementalMode only). (default: false)
• skipReposts — Skip jobs whose content matches a previously expired posting. (default: false)
• ...and 13 more parameters

Input examples

Basic search — Targeted run scoped to a specific descriptionFormat.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "descriptionFormat": "all",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "descriptionFormat": "all",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "all-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "descriptionFormat": "all",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "c05b98afa703cd698f31a960e42ecffe92afd69b4518630e93eedfb7f1d836df",
  "jobKey": "mid-functional-analyst-mindbox-Warszawa",
  "title": "Mid Functional Analyst",
  "company": "Mindbox Sp. z o.o.",
  "companySize": null,
  "companyLogo": "https://nofluffjobs.com/img/companies/logos/jobs_listing/mindbox_s_a__logo_20250613_093225.jpeg",
  "companyWebsite": "https://mindboxgroup.com/",
  "location": "Warszawa +1 more",
  "countries": [
    "POL",
    "ESP"
  ],
  "region": "pl",
  "isFullyRemote": false,
  "isHybrid": true,
  "hybridDesc": "wizyty w biurze 1x/msc + 1x/kwartał na spotkania zespołowe w Warszawie/Madrycie",
  "category": "testing",
  "technology": "SQL",
  "seniority": [
    "Mid"
  ],
  "mustHaveSkills": [
    "SQL",
    "MS Excel",
    "Data hub",
    "Metadata"
  ],
  "niceToHaveSkills": [
    "Python",
    "AI"
  ],
  "dailyTasks": [
    "Validate software and execute test cases to ensure quality and compliance.",
    "Perform SQL validation queries and work with data stored in data hubs.",
    "Understand and manage metadata concepts and data correlation between hubs.",
    "Create and maintain clear documentation of actions and processes.",
    "Collaborate with team members and external stakeholders, sharing knowledge and visualizing concepts in structured models.",
    "Support administrative tasks related to data and project management.",
    "Explore opportunities for automation and leverage AI tools for process optimization."
  ],
  "benefits": [
    "Sport Subscription",
    "Private healthcare",
    "Life insurance",
    "Training budget",
    "Small teams"
  ],
  "officePerks": [
    "Free coffee",
    "Free snacks",
    "In-house trainings",
    "Modern office",
    "No dress code"
  ],
  "requirementLanguages": [
    "en"
  ],
  "onlineInterviewAvailable": false,
  "help4Ua": false,
  "salaryText": "21000–23730 PLN b2b/month",
  "salaryMin": 21000,
  "salaryMax": 23730,
  "salaryCurrency": "PLN",
  "salaryType": "b2b",
  "employmentType": "b2b",
  "applyOption": "url",
  "applyUrl": null,
  "email": null,
  "description": "At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. \n\n  Are you passionate about data, eager to learn, and ready to make an impact in a dynamic environ...",
  "descriptionText": "At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. \n\n  Are you passionate about data, eager to learn, and ready to make an impact in a dynamic environ...",
  "descriptionHtml": "<p><strong>At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.</strong> </p>\n<p>  Are you passionate about data, eager to learn, and ready to make an i...",
  "descriptionMarkdown": "**At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.**\n\nAre you passionate about data, eager to learn, and ready to make an impact in a dynamic enviro...",
  "postedAt": "2026-03-28T23:01:12.033Z",
  "validThrough": "2026-04-28T23:59:59",
  "publishedAge": "24 days ago",
  "url": "https://nofluffjobs.com/job/mid-functional-analyst-mindbox-warszawa",
  "portalUrl": "https://nofluffjobs.com/job/mid-functional-analyst-mindbox-warszawa",
  "contentHash": null,
  "searchQuery": "",
  "contentQuality": "full",
  "detailFetched": true,
  "scrapedAt": "2026-04-22T09:34:06.679Z",
  "source": "nofluffjobs.com",
  "isRepost": null,
  "repostOfId": null,
  "repostDetectedAt": null,
  "changeType": null
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape nofluffjobs.com

1. Go to NoFluffJobs Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from nofluffjobs.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Analyze skill demand across listings using structured skill tags.

How much does it cost to scrape nofluffjobs.com?

NoFluffJobs Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.005 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 100 results: $0.21
• 500 results: $1

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.51	$0.03	$0.47 (94%)	$0.90
15% — moderate broad query	$0.51	$0.08	$0.42 (84%)	$2.40
30% — high-volume aggregator	$0.51	$0.15	$0.35 (69%)	$4.65

Full re-scrape monthly cost at daily polling: $15.15. First month with incremental costs $1.38 / $2.82 / $5.00 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from nofluffjobs.com?

The number of results depends on the search query and available listings on nofluffjobs.com. Use the maxResults parameter to control how many results are returned per run.

Does NoFluffJobs Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate NoFluffJobs Scraper with other apps?

Yes. NoFluffJobs Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use NoFluffJobs Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use NoFluffJobs Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape nofluffjobs.com?

This actor extracts publicly available data from nofluffjobs.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.