NoFluffJobs Remote Tech Jobs Scraper
Pricing
from $3.00 / 1,000 results
NoFluffJobs Remote Tech Jobs Scraper
Scrape NoFluffJobs.com - a transparent IT job board with 3,800+ active remote tech listings. Search by keyword, filter by category, job type, and location. Returns job title, company, salary, skills, and a direct apply URL.
Pricing
from $3.00 / 1,000 results
Rating
0.0
(0)
Developer
Crawler Bros
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
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Scrape NoFluffJobs.com — a transparent IT job board with 3,800+ active remote and hybrid tech listings. Search by keyword or browse by category. Returns job title, company, salary, location, tech categories, and a direct apply URL. Uses the public NoFluffJobs RSS feed. No auth or proxy required.
What this actor does
- Two modes:
searchJobs(keyword search across all listings) andbrowseByCategory(browse a specific tech category) - Filters: location/country and category
- Salary data: extracted from job descriptions when available
- Clean text: HTML stripped from descriptions
- Empty fields are omitted — every record field contains real data
Output per job
| Field | Description |
|---|---|
jobTitle | Job title |
companyName | Hiring company name |
jobUrl | Direct link to the job listing on NoFluffJobs |
pubDate | Publication date from RSS feed |
location | Geographic requirement (Remote Poland, Warsaw, etc.) |
salary | Salary range or rate when available |
categories | All tech categories (Backend, Python, etc.) |
primaryCategory | First/primary tech category |
jobDescription | Plain-text job description |
recordType | Always "job" |
scrapedAt | UTC timestamp of when the record was scraped |
Input
| Field | Type | Default | Description |
|---|---|---|---|
mode | select | searchJobs | searchJobs — search by keyword; browseByCategory — list jobs in a category |
query | string | Python | Keyword or technology to search (required for searchJobs) |
category | select | – | Tech category slug (required for browseByCategory) |
location | string | – | Location filter, e.g. Remote, Poland, Warsaw |
maxItems | integer | 50 | Hard cap on emitted records (1–500) |
Category options
backend, frontend, fullstack, mobile, devops, data, testing, security, embedded, architecture, ai, pm, ux, support, other
Example: search for Python jobs
{"mode": "searchJobs","query": "Python","location": "Remote","maxItems": 50}
Example: browse backend jobs in Poland
{"mode": "browseByCategory","category": "backend","location": "Poland","maxItems": 100}
Example: DevOps listings
{"mode": "browseByCategory","category": "devops","maxItems": 50}
Use cases
- Job aggregators — pull fresh IT listings into your own job board
- Salary benchmarking — track salary ranges for specific tech roles and locations
- Tech talent analytics — analyse demand for technologies by category and region
- Career tools — power job recommendation engines with structured tech job data
- Job alerts — monitor NoFluffJobs for new postings matching your criteria
FAQ
What is NoFluffJobs? NoFluffJobs is a Polish-originated IT job board known for transparent salary information and focus on tech roles. It covers Poland, remote-first European companies, and international positions.
Do I need an API key or account? No. NoFluffJobs provides a public RSS feed that this actor uses directly. No credentials required.
How many jobs are available? NoFluffJobs typically has 3,000–4,000 active listings in its RSS feed at any time.
Are salary fields always populated?
No — salary is shown when NoFluffJobs lists it in the job description. When absent, the salary field is omitted.
What does location mean?
Location is extracted from the job description's "Location" field, which can be Remote, Remote Poland, a city name like Warsaw, or a hybrid arrangement.
How fresh is the data? The RSS feed reflects current active listings and is typically updated every few hours.
Can I filter results after scraping? Yes — the actor's filters (location, category) do keyword matching on the fields. For finer control, download the full dataset and apply your own filters.