MyCareersFuture Scraper

Stop re-checking MyCareersFuture by hand: get only the new jobs for your searches every morning, in a sheet, Slack or your own job board. Search MyCareersFuture (Singapore) by keyword or location and get every matching job as clean JSON with the salary split into min / max / interval; schedule it and each run marks which jobs are new since your last run.

How "new since last run" works

Don't know which companies to watch? The Greenhouse Jobs Scraper searches 4,800 companies by job title, with no company names needed, and reports exactly which matching roles are new or closed each run.

The Actor remembers which jobs each search returned last time. A job it has not seen before is marked isNewSinceLastRun: true. If the whole search fits within Max jobs, the comparison is exact and jobs that disappeared come back as type: "closed" rows. If the search is bigger than Max jobs, a job only counts as new when it was also posted after your previous run, so an old job that merely moved into view is never reported as new.

Filters (title, location text, salary, remote) never change the comparison, so changing a filter never makes jobs look new.

What you get

Field
title, company, companyUen, postedByAgency	as posted; the employer's Singapore UEN (joins jobs to ACRA company records without name matching); the agency's name when an agency posted on the employer's behalf
location, region, postalCode, latitude, longitude	the district and region; the workplace postal code and coordinates unless the employer hid the address
salaryMin, salaryMax, salaryCurrency, salaryInterval	the salary range as the employer entered it (SGD; most are monthly, and a few employers put an hourly rate in the monthly box). null when the employer hid it
employmentType, positionLevels, categories, skills, flexibleWorkArrangements	as tagged on MyCareersFuture
applications, responsiveEmployer, postedAt	applicants so far, the site's responsive-employer badge, the posting date
description, postedTime, expiresAt, views, repostCount, experienceMinYears, numberOfVacancies, ssocCode, originalPostingDate	from each job's own record (on by default, one extra request per job): the job text, exact posting time, closing date, views, reposts, minimum years of experience, openings, and the Singapore occupation code (SSOC)
isNewSinceLastRun	true / false, or null on the first run (unknown, not "old")
jobUrl	link to the job on MyCareersFuture
search	which of your searches returned it

Company logos are never returned, and no contact fields are returned (contact details an employer wrote inside the job text stay part of that text).

Input

Put one search per line in Searches (e.g. nurse) and optionally a Location (e.g. Central). MyCareersFuture is Singapore only and has no location search: Location filters the returned jobs by district or region (Central, Orchard, Jurong, D01). Leave it empty for all of Singapore. Many searches in one run are cheaper than one run each.

A search the site refuses comes back as an error row and the run carries on. When the job board itself is down or failing (HTTP 5xx or no answer), the error row says so and carries sourceDown: true, so you can tell it from a problem in this Actor; nothing is charged for what could not be read.

Get only the new jobs every morning (3 steps)

1. Open this Actor in Apify Console, fill in your searches, set What to return to Only jobs that are new since the last run, and click Save as a new task.
2. On the task, add a Schedule, for example daily at 07:00.
3. Open the task's Integrations tab and connect Slack, email, Google Sheets (or Zapier / Make / a webhook). Each morning you get only the new jobs.

You pay only for the new jobs plus $0.01 per run, so a quiet day costs about a cent. When you export by hand, pick the Jobs view: 12 tidy columns, title first, instead of every raw field.

Pricing

$0.80 per 1,000 jobs, plus $0.01 per run. Closed-job rows and errors are free. With Only jobs that are new since the last run, a daily schedule only pays for the new ones.

For AI agents

For a fast answer call with {"searches": ["nurse"], "maxJobsPerSearch": 20, "includeDescription": false}. It takes a few seconds. The defaults (up to 200 jobs with full descriptions) can take about 3 minutes, which is longer than many agent tool timeouts. Each row has type: job, closed or error. isNewSinceLastRun: null means "no previous run to compare with".

Use it from Claude Code (or another coding agent)

Save this as ~/.claude/skills/mycareersfuture-jobs/SKILL.md (other agents that read SKILL.md files: their skills folder), put your Apify API token in the APIFY_TOKEN environment variable, and ask the agent in plain words, for example "Any new nurse jobs on MyCareersFuture since yesterday?".

---
name: mycareersfuture-jobs
description: Job listings from MyCareersFuture by keyword, location and filters, and only the jobs that are new since the last run. Runs the Apify Actor northbell/mycareersfuture-jobs-scraper with the user's APIFY_TOKEN.
---
Run: curl -s -X POST "https://api.apify.com/v2/acts/northbell~mycareersfuture-jobs-scraper/run-sync-get-dataset-items?timeout=300" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"searches":["nurse"],"maxJobsPerSearch":50,"output":"new"}'
"output": "new" returns only jobs not seen in the previous run (the first run returns all). Use "all" for a one-off list.
Rows have type job, closed or error. Never print the token. Tell the user the price on the Actor's Store page before a large run.

Prefer MCP? Add https://mcp.apify.com?tools=northbell/mycareersfuture-jobs-scraper as a remote MCP server (in Claude Code: claude mcp add --transport http apify "https://mcp.apify.com?tools=northbell/mycareersfuture-jobs-scraper") and sign in to Apify when asked; the Actor then shows up as a tool.

Same filters on every site (10/2026): experience level (read from the title: intern → executive, returned as a seniority column) and employment type (the site's own words normalised into full-time / part-time / contract / temporary / internship, returned as employmentTypes). They only narrow what is returned, with no extra requests and no extra cost.

Zero rows is never ambiguous. The run's status message says why, per search, e.g. "zzz": no results on the site, results found but all removed by your filters or nothing new since the last run, and the OUTPUT record in the run's key-value store has the same as JSON: perSearch[].status is ok, no-results, all-filtered, nothing-new or error, with listed, read, returned, new and closed. Set summaryRows: true to get it as free type: "summary" rows instead.

Same core columns on every northbell job scraper (15 job sites + 10 company-career-page scrapers), so you can stack them into one table: jobId, title, company, location, countryCode (ISO, job sites), remote (true / false / null), employmentType (the site's own words), postedAt, jobUrl, salaryMin, salaryMax, salaryCurrency, salaryInterval, isNewSinceLastRun. Unknown is null, never a guess.

More job scrapers from northbell

Job sites: SEEK · Instahyre · Reed · InfoJobs · XING · Dice · HelloWork · Computrabajo · Foundit · jobs.ch · Arbeitsagentur · Job-Room · Platsbanken · eFinancialCareers · MyCareersFuture · EURES · USAJOBS · Job Bank · Internshala · Gupy · CutShort · iimjobs & hirist · Naukrigulf · Jobindex · karriere.at · Arbeitnow · Wellfound · Remote OK · We Work Remotely · Just Join IT & No Fluff Jobs · OnlineJobs.ph.

Company career pages with exact new/closed tracking: Greenhouse · Lever · Workday · AI companies.