No Fluff Jobs Scraper - IT Jobs, Salaries & Companies
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from $1.00 / 1,000 results
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No Fluff Jobs Scraper - IT Jobs, Salaries & Companies
Collect No Fluff Jobs vacancies, full descriptions and employer profiles with salary ranges, skills and contract types for IT recruitment. Choose the collection mode and set a result limit for each input.
Pricing
from $1.00 / 1,000 results
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0.0
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Developer
ScrapingMonkey
Maintained by CommunityActor stats
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2
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1
Monthly active users
3 days ago
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Collect public technology job feeds and employer profiles with No Fluff Jobs Scraper. Compare transparent advertised salary bands, contract types, seniority and technical requirements with the companies behind the roles. Choose the records you need and export them to CSV, JSON or Excel without supplying a site login.
Use the results for Polish technology salary and skills research. Submit matching public inputs in one run, retain the original record links, and send the structured output to your recruitment spreadsheet, reporting dashboard or research database.
| At a glance | Details |
|---|---|
| 📥 Input | Search fields or links to the selected items; see the examples below |
| 📤 Output | One row per vacancy / company |
| 📄 Pagination | Automatic up to maxResults for each input, when more results are available |
| 🔐 Login required | No |
| ⚡ Processing | Multiple inputs per run with automatic retries for temporary errors |
| 💾 Delivery | One complete Apify dataset table; CSV, JSON and Excel export |
What the No Fluff Jobs scraper collects 💼
Collect technology job feeds and employer profiles. Compare transparent advertised salary bands, contract types, seniority and technical requirements with the companies behind the roles.
| Collection | What you receive |
|---|---|
| No Fluff Jobs jobs scraper | Records containing job titles, employers, locations, published pay, skills, ready for technology hiring and compensation research. |
| No Fluff Jobs company directory scraper | Records containing industries, company descriptions, locations, job counts, ready for employer prospecting and recruitment account research. |
| No Fluff Jobs company profile scraper | Records containing industries, company descriptions, locations, benefits, ready for employer qualification and recruitment account enrichment. |
| No Fluff Jobs job details scraper | Records containing job titles, employers, locations, published pay, skills, ready for vacancy enrichment and candidate-requirement analysis. |
Data can include:
- Record identity: Record identifiers, public links and the published job title or company name.
- Pay and compensation: Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record.
- Employer information: Employer names, identifiers and profile links, with the company information attached to the public record.
- Location and workplace: Published workplace and location information, addresses, geographic coordinates and remote or workplace-arrangement indicators.
- Descriptions and requirements: Published job or company descriptions, HTML and readable text where supplied, candidate requirements and responsibilities and tasks.
- Skills and qualifications: Required skills, experience or seniority requirements and language criteria.
- Employment and benefits: Published benefits.
- Dates and hiring activity: Publication and update information, closing dates and visible job counts.
How to scrape No Fluff Jobs 🚀
- Choose Job Search in What to collect, or select another collection mode.
- Fill in the search fields, or paste links to the items you want to collect.
- Set the maximum results and any optional filters.
- Start the Actor and review the collected rows.
- Export the dataset or connect it to your application.
No Fluff Jobs jobs scraper — input example
maxResults: 10 means up to 10 results for each input. It does not guarantee that the website has that many matches. You can set the limit as low as 1.
No Fluff Jobs company directory scraper — input example
No Fluff Jobs company profile scraper — input example
No Fluff Jobs job details scraper — input example
No Fluff Jobs data fields and complete output 📦
| Field group | Included data |
|---|---|
| Record identity | Record identifiers, public links and the published job title or company name. |
| Pay and compensation | Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record. |
| Employer information | Employer names, identifiers and profile links, with the company information attached to the public record. |
| Location and workplace | Published workplace and location information, addresses, geographic coordinates and remote or workplace-arrangement indicators. |
| Descriptions and requirements | Published job or company descriptions, HTML and readable text where supplied, candidate requirements and responsibilities and tasks. |
| Skills and qualifications | Required skills, experience or seniority requirements and language criteria. |
| Employment and benefits | Published benefits. |
| Dates and hiring activity | Publication and update information, closing dates and visible job counts. |
Each collected item is a separate row. input identifies the submitted value and result_type identifies the selected mode. All returned fields appear in one table; columns that do not apply to a mode can be empty.
A complete JSON result is shown for every collection mode below, in the same order as the input examples. Each example includes every field for its mode; text and lists are not shortened. Values are representative and can change.
No Fluff Jobs jobs scraper — complete JSON result
No Fluff Jobs company directory scraper — complete JSON result
No Fluff Jobs company profile scraper — complete JSON result
No Fluff Jobs job details scraper — complete JSON result
Images, tags and other lists stay with their parent result instead of creating extra rows. Invalid or unavailable inputs, inputs with no results, and requests that fail after all retries produce a row with status: failed. At most one failed row is saved per input; it includes error_code and error_message explaining the outcome. A normal end of pagination after collected results does not add a failed row.
Input requirements and collection settings ⚙️
| Setting | What to enter |
|---|---|
What to collect (mode) | Choose the information to collect. |
Maximum results per search or link (maxResults) | Collect up to this many results for each search or link. Minimum: 1. |
Job title or keywords (query) | Words to search for in job listings. Leave empty to include all jobs. For Job Search. |
Location (location) | City or region to search in. Leave empty to search all locations. For Job Search. |
Remote jobs only (remoteOnly) | Search fully remote jobs. Leave Location empty when this is enabled. For Job Search. |
Experience level (seniority) | Choose experience level. For Job Search. |
Company page links (companyUrls) | Paste one link per line. Example: https://nofluffjobs.com/pl/company/capgemini-poland-g20nvlp7 For Company Profiles. |
Job listing links (jobUrls) | Paste one link per line. Example: https://nofluffjobs.com/pl/job/python-developer-quantitative-developer-link-group-warszawa-2 For Job Details. |
| Collection mode | Fields to use |
|---|---|
| Company Directory | Set the maximum results and start. |
| Company Profiles | Company page links |
| Job Details | Job listing links |
| Job Search | Job title or keywords, Location, Remote jobs only, Experience level |
The result limit applies separately to each search or supplied link. Collection ends earlier when no more matching results are available.
No Fluff Jobs scraping use cases 🎯
Hiring activity monitoring
Run repeat collections of No Fluff Jobs listings and compare vacancy titles and original links over time to identify newly advertised roles and changes in hiring activity.
Vacancy enrichment
Turn known No Fluff Jobs job links or supported identifiers into structured vacancy records for recruitment databases, job comparison tools and candidate research.
Advertised compensation research
Compare the compensation published in No Fluff Jobs records. Keep the original salary text, units and available pay-period context when preparing recruitment or labour-market reports.
Employer qualification
Research organisations listed on No Fluff Jobs before adding them to recruitment or partnership lists. Retain their published identity, company description and available hiring context with the original profile link.
Skills demand analysis
Analyse the skills, experience or qualifications actually published in No Fluff Jobs records to compare hiring requirements across role groups and prepare recruitment briefs.
Pricing and saved-result behavior 💰
See the Actor's Pricing tab for the active pricing model and current rate. Store settings may change, so this README does not claim a fixed cost.
Under dataset-item pricing:
- Each collected item saved in the dataset is one result.
- Images, tags and other values attached to that item do not create additional rows.
- Automatic retry attempts do not create extra dataset rows.
- A saved
failedrow is also one billable dataset item, including invalid inputs, unavailable items, no results, or exhausted retries. At most one failed row is saved per input, including when some results were already collected. maxResultscaps all saved rows for each input, including its failed row. Repeated copies of the same input are processed once. More inputs or a higher limit can produce more saved results.
No Fluff Jobs scraper API and integrations 🔌
Replace $ACTOR_ID with the ID shown in the Actor API tab and $APIFY_TOKEN with your token.
Use schedules for recurring collection, webhooks for completion notifications, and Apify integrations for Google Sheets, Make, Zapier, cloud storage, a CRM or your own application.
Reliability, retries, and public-data limits ⚠️
Temporary connection errors, timeouts and access restrictions are retried automatically, up to five attempts. Invalid inputs save a failed row without an HTTP request; confirmed unavailable items save a failed row without unnecessary retries. Exhausted retries also save a failed row. Results already collected remain available if a later request fails, and normal pagination completion adds no error row. Collection also stops after two consecutive fully processed pages add no new results, even if the website provides another cursor. Required detail lookups are completed before checking a page; new results reset the counter, and independent reply branches are checked separately. Failures while initializing the Actor, saving data or scheduling requests stop the run instead of being reported as a failed website result.
The supported feed and company directory use their broad public Polish routes. Keyword or advanced feed filters are not exposed.
No Fluff Jobs controls which information is publicly available. Removed, private or restricted items may be unavailable, and optional values can be null or empty. A run can still fail if the results cannot be saved.
Frequently asked questions ❓
Does it require an account on No Fluff Jobs?
No. You do not need to provide an account, password or login cookies. Only publicly available information is collected.
How does maxResults work?
It limits the number of saved results separately for every input. The minimum is 1. With maxResults set to 10, each input returns at most 10 available results. A detail lookup normally returns one record per input.
Can I filter the Job Feed by keyword?
No. The Actor collects the supported broad public feed. Its exported skills, seniority and category fields can be used to filter your dataset.
Are salary amounts comparable across contracts?
Keep the original contract type, currency, pay period and gross or net context. The Actor preserves published compensation instead of converting unlike contracts into a single figure.
Why are some fields empty?
The website may not publish that value, or the field may belong to a different collection mode. Missing values remain null or empty instead of being guessed.
Can I export the results to a spreadsheet?
Yes. Download CSV, Excel or JSON from the Apify dataset. All returned fields are included in the same results table.
Support and responsible use 🛟
For a reproducible issue, share the run ID, selected mode, result limit and a safe public example through the support channel. Never disclose access tokens, passwords or proxy credentials.
Use public No Fluff Jobs information lawfully and responsibly. Follow applicable privacy, copyright, data-protection, contractual and platform requirements when storing, analyzing or redistributing results.
