Hiring.cafe Job Listings & Salary Filter Scraper
Hiring.cafe Job Listings & Salary Filter Scraper produces companies that are hiring: job ads turned into a list of employers, roles, locations and pay. Columns include id, object id, source, board token, apply link, name or title.
Recruiters use these to find companies with open roles right now.
$0.99per 1,000 results, plus a start fee and platform usage
30columns in the output
0lists on this site use it
2026-11last updated on the Store
The columns you get
| Column | What it holds |
|---|---|
| Id id | Unique job ID |
| Object id objectID | Search index object ID |
| Source source | Source ATS (greenhouse, lever, workable, successfactors, etc.) |
| Board token boardToken | Job board token |
| Apply link applyUrl | Apply URL (redirects to original source) |
| Name or title title | Job title |
| Core job title coreJobTitle | Canonicalized core job title |
| Category category | Job category (e.g., Engineering, Data, Marketing) |
| Seniority level seniorityLevel | Seniority (Entry, Mid, Senior, Director, Executive) |
| Role type roleType | Individual Contributor / People Manager |
| Commitment commitment | Full Time / Part Time / Contract / etc. |
| Workplace type workplaceType | Remote / Hybrid / Onsite |
| Workplace countries workplaceCountries | Country codes |
| Workplace states workplaceStates | State / region names |
| Workplace cities workplaceCities | City names |
| Latitude latitude | Primary geolocation latitude |
| Longitude longitude | Primary geolocation longitude |
| Salary min salaryMin | Minimum salary (yearly, if disclosed) |
| Salary max salaryMax | Maximum salary (yearly, if disclosed) |
| Salary currency salaryCurrency | Salary currency code |
| Salary frequency salaryFrequency | Salary frequency (Yearly, Hourly, etc.) |
| Technical tools technicalTools | Technologies / tools mentioned |
| Min years experience minYearsExperience | Minimum years of experience required (0 if not specified) |
| Bachelors degree requirement bachelorsDegreeRequirement | Bachelor's degree requirement level |
| Company name companyName | Hiring company name |
| Company website companyWebsite | Company homepage URL |
| Company industries companyIndustries | Company industry tags |
| Company employees companyEmployees | Employee count (string since ranges used) |
| Company hq country companyHqCountry | Company HQ country code |
| Is expired isExpired | Whether the listing is expired |
What it costs
- 100 rows in one run$0.50
- 1,000 rows in one run$1.39
- 10,000 rows in one run$10.30
Free-plan prices: $0.99 per 1,000 results plus a $0.40 start fee (4 GB run) per run, plus Apify platform usage at $0.20 per compute unit. The Free plan includes $5 a month (Apify pricing).
What you fill in
- Search queries
Keywords to search on hiring.cafe (e.g., 'software engineer', 'data scientist'). Empty array or empty string returns unfiltered results. - Workplace types
Filter by workplace type. Defaults to all three. - Locations
- Job title query
Filter to jobs whose TITLE contains this phrase. More precise than the general search query. - Job description query
Filter to jobs whose DESCRIPTION contains this phrase. - Technology keywords query
Match against the parsed tech-stack tags (e.g. python, react, kubernetes). - Requirements keywords query
Match against parsed requirement bullets. - Company names
- Excluded company names
Exclude jobs from these companies. - Company keywords
Substring match on company name.
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Questions
What does Hiring.cafe Job Listings & Salary Filter Scraper cost?
$0.99 per 1,000 results on the Apify Store (Free plan), plus a start fee per GB of run memory and Apify platform usage: one run of 1,000 rows costs about $1.39 before platform usage. The Free plan includes $5 a month.
Do I need to code to use it?
No. You fill in a form on the Apify Store page, start the run and download the results as CSV, Excel or JSON. You need a free Apify account.
Is it a good fit for a business list?
Recruiters use these to find companies with open roles right now.
Store data checked 2026-11-14Columns from the published schema