Startup.jobs category scraper skill for AI agents
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 the skill does
It tells your agent when a request fits the startup.jobs Category & Keyword Job Scraper Actor, which input to send and which fields come back (title, company, location, workplace type and 3 more). The agent runs it through the Apify API with your token and gets JSON rows.
Skill files updated 2026-11-14.Install by hand
Save the five files into a folder named startup-jobs-category-and-keyword-job-scraper: ~/.claude/skills/startup-jobs-category-and-keyword-job-scraper/ for Claude Code, ~/.agents/skills/startup-jobs-category-and-keyword-job-scraper/ for Codex and most other agents.
- SKILL.mdWhen to use the skill, the input and the fields it returns, 5.0 KB
- scripts/run.mjsRuns the Actor with your token (Node 18 or later), 1.2 KB
- references/example-input.jsonA starter input that passes the Actor's schema, 79 bytes
- references/input-schema.jsonEvery input setting the Actor accepts, 8.3 KB
- references/output-fields.jsonEvery field the Actor declares, 735 bytes
The same five files as one download: startup-jobs-category-and-keyword-job-scraper.zip (5.5 KB).
Run it
Ask your agent in plain words, for example "startup.jobs category scraper", and it picks the skill from its description. Or run the script yourself:
export APIFY_TOKEN=your_apify_token
cd startup-jobs-category-and-keyword-job-scraper # the skill folder
node scripts/run.mjs # the example input
node scripts/run.mjs my-input.json # your own input Without an argument the script uses references/example-input.json. It waits for the run and prints the rows as JSON; for long runs SKILL.md shows the async API calls.
What it returns
| Field | What it is |
|---|---|
| title | Title |
| company | Company |
| location | Location |
| workplaceType | Workplace Type |
| salary | Salary |
| postedAt | Posted At |
| url | Url |
Read SKILL.md
Show the whole file (5.0 KB)
---
name: startup-jobs-category-and-keyword-job-scraper
description: "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. Output fields: title, company, location, salary, postedAt and more, as JSON rows. Use it for requests like \"startup.jobs category scraper\", or a CSV/JSON export of public startup.jobs data."
---
# 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.
- Actor: https://apify.com/vexaloom-labs/startup-jobs-category-and-keyword-job-scraper (ID `vexaloom-labs~startup-jobs-category-and-keyword-job-scraper`)
- n8n workflow for the same Actor: https://scraperfinder.com/n8n/startup-jobs-category-and-keyword-job-scraper/
- Example input: `references/example-input.json`
- Input schema: `references/input-schema.json`
- Output fields: `references/output-fields.json`
Short video breakdown:
- [See startup hiring before the weekly standup](https://www.youtube.com/shorts/SOMB7J9-Iak)
## When to use
Use this skill when the user wants:
- startup.jobs category scraper
- a repeatable export of public startup.jobs data as CSV or JSON
Do not use it for private, login-protected or paywalled data.
## What it returns
One JSON row per result. Columns from the Actor's dataset schema:
- `title`: Title
- `company`: Company
- `location`: Location
- `workplaceType`: Workplace Type
- `salary`: Salary
- `postedAt`: Posted At
- `url`: Url
## Inputs
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
| `category` | string | no | remote | Broad job category. Choose All categories to search everything, or Remote jobs for remote-only listings. |
| `role` | string | no | | Specific role from the startup.jobs role taxonomy. When set, the category is ignored. |
| `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. |
| `employmentType` | string | no | | Filter by full-time, part-time, contract or internship roles. |
| `experienceLevel` | string | no | | Filter by the experience range published on the listing. Jobs without an experience level are excluded when this is set. |
| `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. |
| `maxItems` | integer | no | 50 | Maximum number of jobs to return (1-500). |
Example (`references/example-input.json`):
```json
{
"maxItems": 25,
"location": "New York, NY",
"keyword": "coffee shop"
}
```
The input passes the Actor's input schema (checked at every publish). First run: `maxItems` = 25, small enough for the 300-second sync wait; raise it once the rows look right.
## Run it
Set `APIFY_TOKEN`, then call the synchronous endpoint for small and medium runs (it waits up to 300 seconds):
```bash
curl -s -X POST "https://api.apify.com/v2/acts/vexaloom-labs~startup-jobs-category-and-keyword-job-scraper/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d @references/example-input.json > output.json
```
Or with Node 18+: `node scripts/run.mjs [input.json]`.
For large runs, start an async run and read its dataset when it finishes:
```bash
RUN=$(curl -s -X POST "https://api.apify.com/v2/acts/vexaloom-labs~startup-jobs-category-and-keyword-job-scraper/runs" \
-H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
-d @references/example-input.json)
RUN_ID=$(echo "$RUN" | jq -r '.data.id'); DATASET=$(echo "$RUN" | jq -r '.data.defaultDatasetId')
curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?waitForFinish=60" -H "Authorization: Bearer $APIFY_TOKEN" | jq -r '.data.status'
curl -s "https://api.apify.com/v2/datasets/$DATASET/items?format=json" -H "Authorization: Bearer $APIFY_TOKEN" > output.json
```
## Cost and limits
- Apify bills the Actor's usage on your account; the Actor's Pricing tab shows the current price.
- Keep the limit in the input small for a first run.
## Guardrails
- Public data only. Do not pass cookies, sessions or private account data.
- Do not use the output for spam, harassment or unlawful discrimination.
- Check the target site's terms and local law before running at scale.
Same Actor, other ways
- The startup.jobs category scraper n8n workflow: the same job as a scheduled n8n workflow, imported from a URL.
- startup.jobs Category & Keyword Job Scraper: fields, inputs and price per plan.
- startup.jobs Category & Keyword Job Scraper in the Apify Store.
Questions people ask
Which agents can use this skill?
Any agent that reads Agent Skills folders: Claude Code, Codex, Cursor, Gemini CLI and the other agents the skills CLI installs into. The skill is a SKILL.md file plus a small Node script, so an agent without skill support can still follow the file by hand.
Does the skill cost anything?
The skill is free. Running it starts the startup.jobs Category & Keyword Job Scraper Actor on your own Apify account, which bills the run at the Actor's Store price; the Apify Free plan includes $5 of usage a month.
What does npx skills add install?
The whole folder: SKILL.md, scripts/run.mjs and the three reference files, downloaded from this site and checked against the SHA-256 digest in scraperfinder.com/.well-known/agent-skills/index.json. Add -g to install it for every project.