Hiring.cafe job listings scraper in n8n
Pull job postings aggregated by hiring.cafe and narrow them by salary range, seniority, workplace type, security clearance, required tech stack, and company.
What this workflow does
Import it and n8n runs the Hiring.cafe Job Listings & Salary Filter Scraper Actor on Apify every day at 08:00 with the starter input below. Each row comes back with title, company, workplace, seniority and 27 more; repeats with the same id are dropped. A Google Sheets append is included and stays off until you add your sheet. The only credential it needs is your Apify API token.
Read from the workflow file, built for Hiring.cafe Job Listings & Salary Filter Scraper version 1.0.2. Updated 2026-11-14.How the rows travel
6 nodes, in the order n8n runs them. The yellow stop is the call to the Apify Actor; the dashed stop is optional.
- Daily trigger Schedule trigger
- Configure input Code
- Run Apify Actor HTTP Request
- Normalize + dedupe Code
- Rows ready No operation
- Google Sheets (optional) Google Sheets, off until you switch it on
Input
The Configure input node holds the starter input. Change it there; every setting the Actor accepts is listed below.
{
"searchQueries": [
"software engineer"
],
"maxItems": 25
}| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| searchQueries | array | No | – | Keywords to search on hiring.cafe (e.g., 'software engineer', 'data scientist'). Empty array or empty string returns unfiltered results. |
| workplaceTypes | array | No | ["Remote","Hybrid","Onsite"] | Filter by workplace type. Defaults to all three. One of: Remote, Hybrid, Onsite. |
| locations | array | No | – | Filter to jobs in these locations. Pass plain strings like ["San Francisco", "London", "United States"] OR objects with {label, value, countryCode, stateCode, city, lat, lng}. |
| jobTitleQuery | string | No | – | Filter to jobs whose TITLE contains this phrase. More precise than the general search query. |
| jobDescriptionQuery | string | No | – | Filter to jobs whose DESCRIPTION contains this phrase. |
| technologyKeywordsQuery | string | No | – | Match against the parsed tech-stack tags (e.g. python, react, kubernetes). |
| requirementsKeywordsQuery | string | No | – | Match against parsed requirement bullets. |
| companyNames | array | No | – | Only return jobs from these companies. Empty = all companies. |
| excludedCompanyNames | array | No | – | Exclude jobs from these companies. |
| companyKeywords | array | No | – | Substring match on company name. |
| excludedCompanyKeywords | array | No | – | Substring match on company name; exclude these. |
| industries | array | No | – | Filter to companies in these industries. |
| excludedIndustries | array | No | – | Exclude companies in these industries. |
| salaryCurrency | string | No | – | Filter salary thresholds against this currency. Empty = any. 10 choices. |
| salaryFrequency | string | No | – | Pay period for salary thresholds. One of: Yearly, Monthly, Weekly, Daily, Hourly. |
| minSalary | integer | No | – | Lower bound for compensation. Combined with currency + frequency. |
| maxSalary | integer | No | – | Upper bound for compensation. |
| onlyTransparentSalaries | boolean | No | false | Exclude jobs that dont publish a salary range. |
| minYearsExperience | integer | No | 0 | Filter to jobs requiring at least this many years experience. |
| maxYearsExperience | integer | No | 20 | Filter to jobs requiring at most this many years experience. |
| securityClearances | array | No | – | Filter by clearance level. Empty = all jobs. 8 choices. |
| sortBy | string | No | default | Result ordering. One of: default, newest, oldest, salary_high_to_low, salary_low_to_high. |
| seniorityLevels | array | No | ["No Prior Experience Required","Entr… | Filter by seniority level. One of: No Prior Experience Required, Entry Level, Mid Level, Senior Level, Director, Executive. |
| commitmentTypes | array | No | ["Full Time","Part Time","Contract","… | Filter by employment commitment. 7 choices. |
| dateFetchedPastNDays | integer | No | 30 | Only include jobs fetched within the last N days. |
| maxItems | integer | No | 50 | Maximum number of jobs to return across all queries. |
What each row holds
Every field the Actor returns stays in the row (31 in its dataset schema). Normalize + dedupe trims text, drops empty fields, removes repeats with the same id and adds _source and _scrapedAt. The main fields:
| Field | What it is |
|---|---|
| title | Title |
| companyName | Company |
| workplaceType | Workplace |
| seniorityLevel | Seniority |
| commitment | Commitment |
| salaryMin | Min Salary |
| salaryMax | Max Salary |
| applyUrl | Apply |
What the first run costs
With the starter input (maxItems = 25) a first run costs about $0.42 on the Apify Free plan: $0.40 to start the run at 4 GB of memory and $0.02 for the results, plus platform usage.
The Actor lists $0.99 per 1,000 results; its catalogue page breaks the price down by Apify plan. The Apify Free plan includes $5 of usage a month.
The Actor behind it
Hiring.cafe Job Listings & Salary Filter Scraper: Pull job postings aggregated by hiring.cafe and narrow them by salary range, seniority, workplace type, security clearance, required tech stack, and company.
The same job from an AI agent
The matching agent skill gives Claude Code, Codex, Cursor and other agents the same Actor, input and fields. Install it in one line:
npx skills add https://scraperfinder.com --skill hiring-cafe-job-listings-and-salary-filter-scraper The hiring.cafe job listings scraper skill, with manual install and run steps
Questions people ask
How do I import this workflow into n8n?
Copy https://scraperfinder.com/n8n/hiring-cafe-job-listings-and-salary-filter-scraper.json. In n8n, open a new workflow, click the three-dot menu, choose Import from URL and paste it. Or download the JSON file and use Import from File; both give the same 6 nodes.
Do I need an Apify account?
Yes. The workflow calls the Hiring.cafe Job Listings & Salary Filter Scraper Actor through the Apify API with your own token, and each run is billed to your Apify account. The Free plan includes $5 of usage a month.
What does a run cost?
With the starter input (maxItems = 25) a first run costs about $0.42 on the Apify Free plan: $0.40 to start the run at 4 GB of memory and $0.02 for the results, plus platform usage. The Actor's Store page shows the current price.
Can I change what it collects?
Yes: edit the input object in the Configure input node. The Actor takes 26 settings; the table on this page lists each one with its default. Raise maxItems once the first rows look right.
Does it work without Google Sheets?
Yes. The rows wait in the Rows ready node, so you can connect any other node there: a database, Airtable, a webhook or an email. The Google Sheets node is only one option.