Homerun Jobs Scraper & Change Monitor

jobId	job_mlVLWyEWw1l6EyqLE3LX
boardJobId	382587
title	Head of Sales

How to use it: 3 steps

Make a free Apify accountApify is the cloud platform where our tools run. The free plan gives you $5 of usage every month, no credit card needed. You pay Apify, not us.
Paste your input and press StartNo code needed: you fill in a form (the input). It already has a working example. For example: https://jobs.homerun.co/ in Homerun career pages. Each start is one run.
Download the resultsWhen the run ends, the results are in a table (the dataset). Open Output, press Export and pick Excel or CSV. JSON and the API are there too.

This tool is an Apify Actor: a small program that runs on Apify. You can also run it on a schedule, for example every Monday. New to it? Read how it works, step by step and the 8 words you need first.

Made by Cliqto Media, an independent digital media company. We made this tool and keep it working. About us

What it does

Read open jobs from known public Homerun career pages. Get each job description, pay details and apply link. Compare complete snapshots to see new, updated and removed roles.

Who uses it

Startup job boards

Fill your board with roles from Homerun companies.

Talent scouts

Follow a short list of companies and catch new roles.

Job seekers with a target list

Check your favourite companies with one run.

Price

Pay per event: you pay for each result the tool saves, plus a small start fee for each run. The price includes Apify platform costs. Apify bills you, not us. Prices below are for the Apify free plan.

What you pay for	Price	When
Start fee	$0.06	Charged once per run. This tool uses 1 GB of memory or less by default; more memory costs more.
Job saved	$0.0018	One matching current job saved to the default Dataset.

Examples

One job: about $0.06.
1,000 jobs: about $1.86.
Every day 100 jobs, for 30 days: about $7.20 a month.

Free to try: the Apify free plan gives you $5 of usage every month, no credit card needed. That is enough for about 2,600 jobs.

Prices checked on 24 October 2026. See the current price on Apify.

Questions

Do I need a Homerun API key?

No. The tool reads public career and job pages only.

How many companies fit in one run?

One to four Homerun career pages, and up to 40 jobs.

Are talent pools included?

Yes, when the company lists them as openings. They can have fewer fields.

Will a failed page mark jobs as removed?

No. Removed jobs need a complete scan. A failed run keeps the last good baseline.

Does a failed board mean all its jobs were removed?

No. Removed events require a complete full scan. Partial, missing and failed pages keep the last complete baseline.

Can I use a custom career domain?

This version accepts company subdomains on homerun.co only. Custom domains and redirects fail explicitly.

Details

Step by step on Apify

Open Input.
In careerUrls, add https://jobs.homerun.co/.
Keep maxResults=40 and monitor=false. Use 256 MB and a 180-second timeout.
Click Start.
Open Dataset. Check title, description, url and rowStatus.
Open Key-value store → OUTPUT. Check that status is complete.

Use cases

Task	Input	Result to use
Fill a job board	Known company URLs	title, description, location, url and applyUrl
Follow hiring activity	monitor=true	CHANGES.new, CHANGES.changed and CHANGES.removed
Find matching roles	query and location	Matching Dataset rows; full scan status in OUTPUT

Tips for better results

Use the company subdomain on homerun.co. Custom domains are not supported.
Give each watchlist its own name. Then two lists do not mix.
Use the location filter with a city or country code to narrow results.

Limits and good to know

One run accepts 1–4 known Homerun company root URLs. Custom domains, language queries, login pages and redirects are not supported
Live Cloud acceptance covered 14 complete jobs across four companies. The runtime cap is 40 scanned jobs and 40 saved rows. The 40-job limit was checked on offline fixtures, not a 40-job live board
The source work has a 150-second deadline, 100 request attempts, 2 MiB per page and 12 MiB of streamed source bodies. Cloud defaults are 256 MB and 180 seconds; 512 MB is also supported
complete means all pages were read and the requested output was saved. partial means some work was missing or capped. It does not save a new monitoring baseline
not_found means all source boards returned HTTP 404/410. Other failures are error or partial in a mixed run. A wildcard redirect is an error, not an empty board
Dates, salary, department and remote metadata can be missing. Open applications and talent pools can use plain HTML and have fewer fields
Descriptions are plain text and can include list markers. Source HTML and company openings can change between runs. The tool is not an official Homerun product
Resume/restart is not supported. Start a new run after a failed run. Partial Dataset results remain visible

For developers

Sample result

One result from a real test run, in JSON. Real values change from run to run. In Excel or CSV each field is a column.

one result · JSON

{
  "jobId": "job_mlVLWyEWw1l6EyqLE3LX",
  "boardJobId": "382587",
  "title": "Head of Sales",
  "companyName": "Homerun",
  "location": "Amsterdam",
  "salaryMin": 75000,
  "salaryCurrency": "EUR",
  "salaryPeriod": "year",
  "url": "https://jobs.homerun.co/head-of-sales",
  "applyUrl": "https://jobs.homerun.co/head-of-sales/apply",
  "rowStatus": "complete",
  "change": "untracked"
}

Use it from code

Actor ID: cliqtomedia/homerun-jobs-monitor-scraper. You need your Apify API token from Apify Console → Settings → API & Integrations.

Python · apify-client

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("cliqtomedia/homerun-jobs-monitor-scraper").call(run_input={
    "careerUrls": [
        "https://jobs.homerun.co/"
    ],
    "query": ""
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

cURL

curl -X POST "https://api.apify.com/v2/acts/cliqtomedia~homerun-jobs-monitor-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"careerUrls": ["https://jobs.homerun.co/"], "query": ""}'

LangChain · langchain-apify

# pip install langchain-apify
# set APIFY_TOKEN in your environment
from langchain_apify import ApifyActorsTool

tool = ApifyActorsTool("cliqtomedia/homerun-jobs-monitor-scraper")
result = tool.invoke({"run_input": {"careerUrls": ["https://jobs.homerun.co/"], "query": ""}})
print(result)

The cURL call waits for the results, up to 300 seconds. For longer runs, start a run (/runs) and get the results with a webhook or by checking the run. Apify API docs. LlamaIndex, MCP for AI agents and the JavaScript client: AI agents & MCP.

Data fields (29)

Field	Type
`jobId`	string
`boardJobId`	string
`jobKey`	string
`title`	string
`url`	string
`applyUrl`	string
`detailSource`	string
`rowStatus`	string
`careerSiteUrl`	string
`source`	string
`fetchedAt`	string
`change`	string
`companyName`	string
`department`	string
`location`	string
`city`	string
`region`	string
`countryCode`	string
`employmentType`	string
`datePosted`	string
`validThrough`	string
`salaryCurrency`	string
`salaryPeriod`	string
`description`	string
`firstSeenAt`	string
`salaryMin`	number
`salaryMax`	number
`remote`	boolean
`descriptionTruncated`	boolean

Input settings (7)

The main fields of the input form. With the API you send them as JSON.

Setting	Name in the API	Type	Example value
Homerun career pages required	`careerUrls`	array	`["https://jobs.homerun.co/"]`
Words in job content	`query`	string	`""`
Location contains	`location`	string	`""`
Maximum output jobs	`maxResults`	integer	`40`
Compare complete snapshots	`monitor`	boolean	`false`
Watchlist name	`monitorKey`	string	`"default"`
Output only new and updated jobs	`onlyChanges`	boolean	`false`

Homerun jobs scraper for company career pages

How to use it: 3 steps

What it does

Who uses it

Startup job boards

Talent scouts

Job seekers with a target list

Price

Examples

Questions

Details

For developers

Sample result

Use it from code

Start on Apify

Homerun jobs scraper for company career pages

How to use it: 3 steps

What it does

Who uses it

Startup job boards

Talent scouts

Job seekers with a target list

Price

Examples

Questions

Details

For developers

Sample result

Use it from code

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Start on Apify