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URL: https://apify.com/crawlerbros/nofluffjobs-scraper

โ‡ฑ NoFluffJobs Remote Tech Jobs Scraper ยท Apify


๐Ÿ‘ NoFluffJobs Remote Tech Jobs Scraper avatar

NoFluffJobs Remote Tech Jobs Scraper

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from $3.00 / 1,000 results

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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

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๐Ÿ‘ Crawler Bros

Crawler Bros

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Monthly active users

13 days ago

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Scrape NoFluffJobs.com โ€” 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) and browseByCategory (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 โ€” every record field contains real data

Output per job

FieldDescription
jobTitleJob title
companyNameHiring company name
jobUrlDirect link to the job listing on NoFluffJobs
pubDatePublication date from RSS feed
locationGeographic requirement (Remote Poland, Warsaw, etc.)
salarySalary range or rate when available
categoriesAll tech categories (Backend, Python, etc.)
primaryCategoryFirst/primary tech category
jobDescriptionPlain-text job description
recordTypeAlways "job"
scrapedAtUTC timestamp of when the record was scraped

Input

FieldTypeDefaultDescription
modeselectsearchJobssearchJobs โ€” search by keyword; browseByCategory โ€” list jobs in a category
querystringPythonKeyword or technology to search (required for searchJobs)
categoryselectโ€“Tech category slug (required for browseByCategory)
locationstringโ€“Location filter, e.g. Remote, Poland, Warsaw
maxItemsinteger50Hard cap on emitted records (1โ€“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 โ€” pull fresh IT listings into your own job board
  • Salary benchmarking โ€” track salary ranges for specific tech roles and locations
  • Tech talent analytics โ€” analyse demand for technologies by category and region
  • Career tools โ€” power job recommendation engines with structured tech job data
  • Job alerts โ€” 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 3,000โ€“4,000 active listings in its RSS feed at any time.

Are salary fields always populated? No โ€” 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 โ€” the actor's filters (location, category) do keyword matching on the fields. For finer control, download the full dataset and apply your own filters.

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