Comeet Jobs Scraper

Extract job listings from public Comeet career pages with company metadata, job URLs, locations, departments, employment type, experience level, update timestamps, and cleaned job-description sections.

What does Comeet Jobs Scraper do?

Comeet Jobs Scraper turns Comeet-hosted careers pages into structured dataset rows.

It reads the public HTML returned by Comeet and extracts the embedded COMPANY_DATA and COMPANY_POSITIONS_DATA JSON.

Each output item represents one job opening.

The actor is HTTP-first, fast, and does not require browser automation for supported public Comeet pages.

Use it for scheduled hiring-signal monitoring, job-board enrichment, sales prospecting, recruiting market intelligence, and internal talent analytics.

Who is it for?

Recruiting agencies use it to monitor target employers that publish jobs on Comeet.

Job-board operators use it to collect fresh listings from known Comeet company pages.

RevOps and sales teams use it to detect companies that are hiring for specific roles.

Labor-market analysts use it to build repeatable datasets of open roles by company, department, and location.

Developers use it when they need a simple API-friendly extractor for Comeet jobs.

Why use this Comeet jobs extractor?

✅ Extracts structured data from the public page HTML.

✅ Saves one dataset row per job.

✅ Includes company metadata and job metadata in the same export.

✅ Cleans HTML description sections into readable text.

✅ Can optionally keep raw HTML sections for downstream formatting.

✅ Supports multiple Comeet company pages in one run.

✅ Uses pay-per-event billing, so small monitoring runs stay inexpensive.

Supported sources

The actor supports public Comeet career pages such as:

https://www.comeet.com/jobs/tripleten/98.008

You can pass full URLs through startUrls.

You can also pass Comeet paths such as tripleten/98.008 through companyUids.

The actor does not scrape private candidate portals, applicant dashboards, or pages that require authentication.

Data extracted

The dataset includes the most useful fields for hiring intelligence and job aggregation.

Field	Description
companyName	Company name from Comeet company data
companyUid	Comeet company path or UID
companyLocation	Company location text
companyWebsite	Company website when available
companyDescription	Cleaned company description
title	Job title
department	Job department/team
employmentType	Full-time, part-time, contract, etc.
experienceLevel	Comeet experience level
workplaceType	Remote, hybrid, on-site, when present
location	Structured location object
jobUid	Comeet job UID
jobUrl	Active job URL
timeUpdated	Comeet update timestamp
sections	Cleaned description/responsibility/requirement sections
customFields	Comeet custom-field groups
sourceUrl	Input careers page URL
scrapedAt	Actor scrape timestamp

How much does it cost to scrape Comeet jobs?

This actor uses pay-per-event pricing.

There is a small start event per run and a per-job event for each saved job row.

Current source configuration uses:

• Run start: $0.005
• Job extracted: tiered pricing, BRONZE currently $0.00063284 per job in the validated pricing configuration

Live pricing was derived from current-build cloud run costs and is kept synchronized with the platform pricing configuration.

Input options

startUrls

Add one or more full Comeet jobs page URLs.

Example:

[
  { "url": "https://www.comeet.com/jobs/tripleten/98.008" }
]

companyUids

Add Comeet company paths if you prefer compact inputs.

Example:

["tripleten/98.008"]

The actor converts this to https://www.comeet.com/jobs/tripleten/98.008.

maxItems

Maximum number of jobs to save across all input pages.

Use a low value for a quick smoke test.

Use a higher value for production monitoring across many company pages.

includeHtmlDescriptions

When false, the actor emits cleaned text sections.

When true, each section also includes raw HTML.

Use raw HTML if you need to preserve formatting for a job board or CMS.

Example input

{
  "startUrls": [
    { "url": "https://www.comeet.com/jobs/tripleten/98.008" }
  ],
  "maxItems": 100,
  "includeHtmlDescriptions": false
}

Example output

{
  "companyName": "TripleTen",
  "companyUid": "tripleten/98.008",
  "title": "AI Engineer",
  "department": "Product Management",
  "employmentType": "Full-time",
  "experienceLevel": "Intermediate",
  "workplaceType": "Remote",
  "location": {
    "name": "Tel Aviv, Israel",
    "country": "IL",
    "city": "Tel Aviv-Yafo",
    "isRemote": true
  },
  "jobUid": "F1.B67",
  "jobUrl": "https://www.comeet.com/jobs/tripleten/98.008/ai-engineer/F1.B67",
  "timeUpdated": "2026-06-11T07:49:20Z",
  "sections": [
    { "name": "Description", "text": "About TripleTen..." }
  ],
  "sourceUrl": "https://www.comeet.com/jobs/tripleten/98.008",
  "scrapedAt": "2026-06-24T00:00:00.000Z"
}

How to scrape Comeet jobs

1. Open the actor on Apify.

2. Paste one or more public Comeet careers page URLs.

3. Set maxItems to the number of jobs you need.

4. Leave includeHtmlDescriptions disabled unless you need raw HTML.

5. Start the run.

6. Export the dataset as JSON, CSV, Excel, XML, or RSS.

Monitoring workflow

Run the actor on a schedule to monitor target employers.

Compare jobUid and timeUpdated between runs to detect new or changed openings.

Send the dataset to Google Sheets, Airtable, a warehouse, or a CRM.

Trigger alerts when target departments or keywords appear.

Sales and recruiting workflow

Use Comeet job changes as buying signals.

For example, a company hiring many sales engineers might need enablement tools.

A company hiring data engineers might need data infrastructure vendors.

A company hiring recruiters might be scaling talent acquisition.

The actor gives teams a repeatable source of fresh signals.

Job-board workflow

Job boards can ingest the dataset into a listing feed.

Use jobUrl as the canonical source.

Use sections for human-readable descriptions.

Use location, employmentType, and workplaceType for filters.

Use timeUpdated for freshness checks.

API usage with Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/comeet-jobs-scraper').call({
  startUrls: [{ url: 'https://www.comeet.com/jobs/tripleten/98.008' }],
  maxItems: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

API usage with Python

from apify_client import ApifyClient

client = ApifyClient('MY-APIFY-TOKEN')
run = client.actor('automation-lab/comeet-jobs-scraper').call(run_input={
    'startUrls': [{'url': 'https://www.comeet.com/jobs/tripleten/98.008'}],
    'maxItems': 100,
})

items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

API usage with cURL

curl -X POST 'https://api.apify.com/v2/acts/automation-lab~comeet-jobs-scraper/runs?token=MY-APIFY-TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"startUrls":[{"url":"https://www.comeet.com/jobs/tripleten/98.008"}],"maxItems":100}'

MCP integration

Use the actor through Apify MCP when you want Claude or another MCP client to fetch Comeet job data.

MCP server URL:

https://mcp.apify.com/?tools=automation-lab/comeet-jobs-scraper

Add it to Claude Code:

$claude mcp add apify-comeet-jobs "https://mcp.apify.com/?tools=automation-lab/comeet-jobs-scraper"

JSON configuration example:

{
  "mcpServers": {
    "apify-comeet-jobs": {
      "url": "https://mcp.apify.com/?tools=automation-lab/comeet-jobs-scraper"
    }
  }
}

Example prompts:

• "Run the Comeet Jobs Scraper for this Comeet careers URL and summarize open engineering roles."
• "Monitor these Comeet pages and show newly added jobs since last week."
• "Extract all remote Comeet jobs and prepare a CSV for my recruiting team."

Integrations

Send results to Google Sheets for lightweight tracking.

Send results to Airtable for editorial job-board workflows.

Load results into BigQuery, Snowflake, or Postgres for labor-market analytics.

Connect results to Slack or email alerts for new job notifications.

Use Apify webhooks to trigger downstream enrichment after every run.

Tips for best results

Use the careers page URL, not an individual job URL, when you want all jobs for a company.

Use multiple startUrls when you already track a portfolio of companies.

Keep maxItems high enough to cover all jobs across your inputs.

Turn on raw HTML only if your downstream system needs formatting.

Use scheduled runs for monitoring rather than manually refreshing pages.

Troubleshooting

The actor saved no jobs

Check that the URL is a public Comeet jobs page and that it contains job listings.

Some companies may have moved away from Comeet or closed all positions.

My company shortcut did not work

Use the full Comeet URL in startUrls if you are unsure of the company path.

A valid shortcut looks like tripleten/98.008.

Why do I see HTML-like text in descriptions?

By default the actor cleans HTML into text.

If you enable includeHtmlDescriptions, the output intentionally includes raw HTML in the html property.

Limitations

The actor only extracts public data exposed by Comeet-hosted pages.

It does not apply to non-Comeet ATS platforms such as Greenhouse, Lever, Ashby, or Workable.

It does not submit applications, access candidate data, or bypass login walls.

The number of jobs depends on the input companies you provide.

Legality and ethical use

This actor extracts publicly available job listing data.

Review Comeet and target-company terms before large-scale use.

Use reasonable schedules and avoid abusive traffic patterns.

Do not use the data for discriminatory hiring or unlawful profiling.

Related scrapers

If your target company uses another ATS, consider related automation-lab actors.

• https://apify.com/automation-lab/ashby-jobs-scraper
• https://apify.com/automation-lab/web3-career-jobs-scraper
• https://apify.com/automation-lab/job-board-keyword-signal-scanner

FAQ

Can I scrape multiple Comeet companies in one run?

Yes. Add multiple URLs to startUrls or multiple paths to companyUids.

Does this actor need proxies?

The implementation is HTTP-first and does not require a proxy for normal public Comeet pages.

Does it scrape individual job detail pages?

The main careers page already embeds the job records and description sections, so separate detail-page crawling is usually unnecessary.

Can I use it for daily monitoring?

Yes. Schedule a daily run and compare jobUid and timeUpdated across datasets.

Can I export to CSV?

Yes. Apify datasets can be exported as CSV, Excel, JSON, XML, RSS, and HTML.

Changelog

Initial version extracts Comeet company metadata and job listings from public careers page HTML.