💼 No Fluff Jobs Scraper - Tech Hiring Data

Scrape job listings from No Fluff Jobs in one run. Get job titles, hiring companies, locations, salary ranges, technology tags, remote flags and direct job URLs from public No Fluff Jobs search pages. Export the results to JSON, CSV or Excel, schedule recurring runs, call the actor through the Apify API, or connect the dataset to Make, Zapier, Airtable, Clay, Google Sheets, HubSpot or n8n.

🔎 What is the No Fluff Jobs Scraper?

No Fluff Jobs is a technology-focused job board known for transparent salary ranges and structured job tags. It is especially useful for tracking software engineering, backend, frontend, DevOps, data, cloud, QA, product and IT roles across Europe and remote markets. Recruiters, talent teams, sales teams and market researchers use this kind of data to understand hiring demand, salary bands and companies that are actively expanding.

This actor turns public No Fluff Jobs search pages into structured data. It uses plain HTTP and parses the server-rendered job cards already present in the page, so it does not require a browser, login, API key or paid unblocker. That makes it a practical, low-cost actor for scheduled monitoring.

What data does it extract?

• Job title - role name shown on the listing card.
• Company - hiring company name.
• Location - location text when shown on the card.
• Salary - visible salary range and currency, one of No Fluff Jobs' strongest data points.
• Tags - role category and technology tags such as Backend, Python, Java, GCP, React, DevOps or Data.
• Remote flag - whether the card indicates remote work.
• Direct job URL - stable No Fluff Jobs listing URL.
• Stable ID - generated from the listing card ID or URL.
• Source URL - the search page that produced the result.

⬇️ Input

Field	Type	Description
searchUrls	array	No Fluff Jobs search URLs to scrape. Apply filters on the site, then paste the URL.
keyword	string	Optional keyword used to build a No Fluff Jobs search URL.
maxResults	integer	Maximum jobs to return.

Example input

{
  "searchUrls": ["https://nofluffjobs.com/jobs/python?criteria=python"],
  "maxResults": 50
}

Keyword search:

{
  "keyword": "devops",
  "maxResults": 25
}

⬆️ Output

Each dataset item is one No Fluff Jobs listing.

{
  "id": "python-developer-with-gcp-xebia-Remote-1",
  "title": "Python Developer with GCP",
  "company": "Xebia sp. z o.o.",
  "location": "Remote",
  "salary": "15 000 - 21 700 PLN",
  "tags": ["Backend", "Python", "SDK", "GCP"],
  "is_remote": true,
  "job_url": "https://nofluffjobs.com/job/python-developer-with-gcp-xebia-remote-1",
  "source_url": "https://nofluffjobs.com/jobs/python?criteria=python",
  "source": "nofluffjobs"
}

💡 Use cases

• Tech recruiting - monitor companies hiring for engineering, cloud, DevOps, data and product roles.
• Salary research - collect transparent salary ranges by role, country, technology and seniority.
• Sales intelligence - active hiring can signal expansion, budget and operational priorities.
• Competitive tracking - watch which competitors are hiring and which technologies they are investing in.
• Job aggregation - add No Fluff Jobs data to a broader job-board dataset.
• Automation - send new jobs to Airtable, Sheets, Slack, HubSpot, Clay, Make, Zapier or n8n.

🧭 How to use the data

Use id or job_url as the deduplication key. For monitoring, schedule the actor daily and compare new IDs against previous runs. For salary research, group rows by tags, location and salary. For lead generation, enrich companies that repeatedly hire for backend, cloud, security, data or DevOps roles.

No Fluff Jobs supports many filters on its website. Apply filters such as technology, location, remote, seniority or salary on the site, then paste the resulting URL into searchUrls. The actor will preserve that search context and return the visible results.

Pair this actor with StepStone, BuiltIn, Bayt, Reed, SEEK, JobsDB, Naukri, Ashby, Recruitee and Workable to cover both public job boards and company ATS career pages.

❓ FAQ

Does this require a No Fluff Jobs account? No. It reads public search pages.

Does it use a browser? No. It uses direct HTTP requests and parses server-rendered cards.

Can I scrape filtered URLs? Yes. Paste filtered No Fluff Jobs search URLs into searchUrls.

Can I search by keyword? Yes. Use the keyword field for quick searches such as python, java, devops, react, data engineer, security or product.

Does it include salary? Yes, when the salary range is visible on the search card.

Does it include full descriptions? This version focuses on search results for speed and reliability. Detail-page enrichment can be added later if needed.

Is this useful for lead generation? Yes. Transparent tech hiring and salary data is useful for recruiting, HR tech, payroll, developer tools, cloud providers, training and B2B sales teams.

How often should I run it? Daily is good for monitoring new roles. Weekly is enough for market research and salary tracking.

How do I avoid duplicates? Use id or job_url as the stable key.

Is it legal to scrape No Fluff Jobs? The actor collects publicly available job listing data. You are responsible for using the output lawfully and respecting privacy, employment, anti-spam and platform rules.

🔗 You might also like

• StepStone Scraper
• BuiltIn Jobs Scraper
• Bayt Jobs Scraper
• Reed Jobs Scraper
• Ashby Jobs Scraper
• Recruitee Jobs Scraper

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