Startup.jobs category scraper in n8n

Collect startup job listings from startup.jobs by category and keyword, with title, company, work mode, salary, job type, listing text, tags, and the listing link.

What this workflow does

Import it and n8n runs the startup.jobs Category & Keyword Job Scraper Actor on Apify every day at 08:00 with the starter input below. Each row comes back with title, company, location, workplace type and 3 more; repeats with the same url 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 startup.jobs Category & Keyword Job Scraper version 1.0.3. Updated 2026-11-14.
startup.jobs Jobs and salaries Runs daily at 08:00 From a Short

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.

  1. Daily trigger Schedule trigger
  2. Configure input Code
  3. Run Apify Actor HTTP Request
  4. Normalize + dedupe Code
  5. Rows ready No operation
  6. Google Sheets (optional) Google Sheets, off until you switch it on

From the Short

This workflow is the one the video points to: the number in each video opens this page.

Input

The Configure input node holds the starter input. Change it there; every setting the Actor accepts is listed below.

{
  "maxItems": 25,
  "location": "New York, NY",
  "keyword": "coffee shop"
}
Input settings of startup.jobs Category & Keyword Job Scraper
SettingTypeRequiredDefaultWhat it does
category string No remote Broad job category. Choose All categories to search everything, or Remote jobs for remote-only listings. 13 choices.
role string No – Specific role from the startup.jobs role taxonomy. When set, the category is ignored. 65 choices.
keyword string No – Matches job titles, company names and tags on startup.jobs. It does not search full description text.
company string No – Company name, slug or startup.jobs company URL (e.g. stripe or https://startup.jobs/company/stripe).
location string No – City or country name, or a startup.jobs location URL (e.g. United States, London, https://startup.jobs/locations/germany). Use Remote for remote jobs.
workplaceType string No – Filter by remote, hybrid or on-site work. One of: remote, hybrid, on-site.
employmentType string No – Filter by full-time, part-time, contract or internship roles. One of: full-time, part-time, contractor, internship.
experienceLevel string No – Filter by the experience range published on the listing. Jobs without an experience level are excluded when this is set. One of: 0-1, 1-3, 3-6, 6+.
minSalaryUsd integer No – Only jobs whose published maximum salary is at least this amount in USD. Jobs without a published salary are excluded.
maxSalaryUsd integer No – Only jobs whose published minimum salary is at most this amount in USD. Jobs without a published salary are excluded.
postedWithin string No – Only include jobs published within this period. One of: 1, 7, 30, 90.
maxItems integer No 50 Maximum number of jobs to return (1-500).

What each row holds

Every field the Actor returns stays in the row (7 in its dataset schema). Normalize + dedupe trims text, drops empty fields, removes repeats with the same url and adds _source and _scrapedAt. The main fields:

Main output fields of startup.jobs Category & Keyword Job Scraper
FieldWhat it is
titleTitle
companyCompany
locationLocation
workplaceTypeWorkplace Type
salarySalary
postedAtPosted At
urlUrl

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

startup.jobs Category & Keyword Job Scraper: Collect startup job listings from startup.jobs by category and keyword, with title, company, work mode, salary, job type, listing text, tags, and the listing link.

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 startup-jobs-category-and-keyword-job-scraper

The startup.jobs category scraper skill, with manual install and run steps

Questions people ask

How do I import this workflow into n8n?

Copy https://scraperfinder.com/n8n/startup-jobs-category-and-keyword-job-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 startup.jobs Category & Keyword Job 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 12 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.

Workflow updated 2026-11-14