Phenom Career Sites Jobs Scraper

Get every open job from any company careers site built on Phenom. That includes RBC, BMO, Manulife, CVS Health, The Cigna Group, Mastercard, Thermo Fisher, DHL, Lowe's, UPS, Humana, PNC, U.S. Bank, Kohl's, Dollar Tree, TJX, Five Below, Wawa, Abbott and GE HealthCare, plus big health systems like Trinity Health, Sutter Health and Duke Health. About 150 employers (260,000+ open jobs) are in the built-in list, and any other Phenom site works from its URL.

Paste a careers URL or type a company name. Add keywords, locations and filters if you want them. You get clean, structured job data: title, location with coordinates, category, job type, remote/hybrid, posting date, AI-extracted skills, apply link and, optionally, the full description with salary.

Why this scraper

• Complete results, even for the largest employers. Career sites stop showing results after about 10,000 jobs, and paging through them skips or repeats around 5% of jobs. This scraper splits each search into slices of 500 jobs or fewer by category, job family, job type and location. Every job is collected exactly once. CVS Health: all 19,936 of 19,936 jobs in one run.
• Works with any Phenom careers site. No fixed list of boards. Paste the search page, a category page, a single job page or just the domain. Filters already in the URL are kept.
• Company names work too. Type "RBC", "CVS Health" or "Mastercard" and the built-in list finds the site.
• Richer data than generic job scrapers. You get AI-extracted skills, the site's AI job summary, salary range, compensation grade, job family, career level, business unit, legal employer, closing date, all locations with latitude/longitude, and more.
• Hiring stats. Optional rows count open jobs by country, state, city, category, job type, work arrangement and business unit, for hiring-trend or competitor tracking.
• Only-new mode. Schedule it daily and get only the jobs you haven't seen before.
• Contact details are hidden. Recruiter names and emails are never included, and email addresses and phone numbers inside descriptions are masked.

Input

Field	What it does
Career site URLs	Any page of a Phenom careers site, e.g. https://jobs.rbc.com/ca/en/search-results, https://jobs.cvshealth.com/us/en/search-results?keywords=pharmacist, https://jobs.rbc.com/ca/en/c/technology-analytics-research-jobs, jobs.bmo.com.
Companies	Company names, e.g. RBC, BMO, Manulife, CVS Health, Cigna, Mastercard, Thermo Fisher, DHL, Lowe's, UPS.
Keywords	Each keyword is its own search, the same as the site's search box. Leave empty to get every job. Keywords with no sites or companies search the largest employers in the built-in list.
Locations	Canada, Ontario, ON, Toronto, Texas, USA, or City, State to be exact. Matched to each site's own spelling.
Job categories / Employment type / Work arrangement / Posted within	Optional filters.
Full job details	Adds the full description, salary, closing date, job family and more. Makes one extra request per job.
Max jobs / Max jobs per site	Limits. Leave empty to get everything.
Only new jobs	Skips jobs returned in earlier runs.
Hiring stats	Adds job-count rows per country, state, city, category, and more.
Advanced: any site filter	{"jobFamily": ["Audit"]}, {"businessUnit": ["Aetna"]} and so on.

Example inputs

All software jobs in the US at Mastercard and RBC, with full details:

{
  "companies": ["Mastercard", "RBC"],
  "keywords": ["software"],
  "locations": ["USA"],
  "includeDetails": true
}

Every nursing job at three health systems, posted in the last 7 days, as a daily feed:

{
  "companies": ["Trinity Health", "Sutter Health", "Duke Health"],
  "categories": ["Nursing"],
  "postedWithinDays": 7,
  "onlyNew": true
}

Output

One row per job. A real row (RBC, with full details), shortened:

{
  "title": "Financial Analyst",
  "company": "Royal Bank of Canada",
  "hiringEntity": "RBC Capital Markets, LLC",
  "location": "Minneapolis, Minnesota, United States of America",
  "city": "Minneapolis",
  "state": "Minnesota",
  "country": "United States of America",
  "latitude": 44.97997,
  "longitude": -93.26384,
  "employmentType": "Full time",
  "category": "Finance | Accounting",
  "subCategory": "Finance, Accounting and Treasury",
  "postedDate": "2026-09-03",
  "postedDaysAgo": 21,
  "summary": "We are looking for a Financial Analyst to provide critical financial insights that support strategic decision-making…",
  "skills": ["financial modeling", "variance analysis", "financial reporting", "microsoft excel", "budgeting"],
  "url": "https://jobs.rbc.com/ca/en/job/R-0000184407/financial-analyst",
  "applyUrl": "https://rbc.wd3.myworkdayjobs.com/RBCGLOBAL1/job/…/Financial-Analyst_R-0000184407-1/apply",
  "jobId": "R-0000184407",
  "descriptionText": "What is the opportunity?\n\nResponsible for providing the business with financial information…",
  "aiSummary": "The Financial Analyst at RBC will be responsible for delivering financial information to support strategic business decisions…",
  "salaryMin": 50000,
  "salaryMax": 85000,
  "salaryCurrency": "USD",
  "salaryPeriod": "YEAR",
  "salarySource": "description",
  "payType": "Salaried",
  "closingDate": "2026-10-30",
  "jobFamily": "Financial Performance Management",
  "jobProfile": "Financial Performance Management Analyst",
  "careerLevel": "Professional",
  "compensationGrade": "GG09",
  "workerType": "Employee",
  "detailsIncluded": true,
  "careerSite": "jobs.rbc.com",
  "scrapedAt": "2026-09-24T10:55:45.849Z"
}

Fields a site doesn't publish are null. Salary comes from the site's own pay fields when it has them, otherwise from the pay range written in the description (salarySource tells you which).

When Hiring stats is on, you also get rows like {"recordType": "facet", "company": "CVS Health", "field": "state", "value": "Texas", "count": 1511}.

The run's key-value store has a SUMMARY record for each site. It shows how many jobs matched, how many were collected, and the coverage.

Reliability and billing

• The run always finishes with what it found. A site that is down, blocked or not built on Phenom is named in the log and the status message while the other sites continue. If the run's time limit is near, it stops early, saves everything collected and reports Partial — …. If your spending limit is reached it stops with Stopped at your spending limit. Bad input gives a how-to message and 0 rows.
• You only pay for rows you receive. Each job row is billed once it is written to the dataset; a job whose details could not be fetched is delivered as a list row and is not billed as a detailed one; hiring-stats rows have their own (much lower) price; a run that delivers nothing costs nothing.
• Nothing to configure. No account, cookie or API key: the scraper reads each site's public configuration on every run, so per-site changes heal themselves. Apify's datacenter proxy is enough for every verified site; a request a firewall refuses is retried on a fresh IP and then through Apify's unblocking proxy automatically.
• Coverage is reported. The SUMMARY record in the run's key-value store lists, per site and query, how many jobs matched and how many were collected.

Use cases

• Job boards and aggregators. Pull full, de-duplicated job feeds from large enterprise employers.
• Recruiting and sales intelligence. See who is hiring for what, where, and how fast.
• Labour-market research. Track open roles, skills demand, pay ranges and remote share by company, region or category.
• Job seekers. Get a daily feed of new postings at the companies you care about.

FAQ

Which sites does it work with? Career sites built on the Phenom platform. The page address usually looks like …/us/en/search-results, …/ca/en/search-results or …/global/en/search-results. If a URL isn't a Phenom site, the run tells you and moves on without charging you.

How fast is it? A list of 1,000 jobs takes about 5 seconds. CVS Health's roughly 20,000 jobs take under 2 minutes on Apify (most of that is saving the rows), and five employers with 70,000 jobs between them took 37 seconds to collect. With full details it runs at about 10 jobs per second per site, and several sites run in parallel.

Why does "Toronto" work when the site spells it "TORONTO"? Locations, categories and job types are matched to each site's own values, ignoring case and accents.

Do I need a proxy? No. The default Apify proxy is used. If a site's firewall blocks a request, that request is retried on a new IP and then through Apify's unblocking proxy automatically.

A site was "blocked on datacenter IPs". What do I change? A few career sites (mostly ones behind a strict firewall) refuse Apify's standard datacenter IPs. For those, the scraper needs Apify's unblocker or residential proxy on your plan. If your plan has neither, the other sites still deliver, you are not charged for the blocked site, and the status message names each blocked site. To get them too, enable residential proxies (or the unblocker proxy) in Apify Console → Proxy and run again.

Is anyone's personal data included? No. Recruiter and hiring-manager fields are never output, and emails and phone numbers inside job descriptions are masked.

Is it legal to scrape Phenom career sites? This scraper only collects job postings that employers publish on their own public career sites, the same pages anyone can open in a browser without logging in. Collecting public data like this is generally allowed, but how you use it is up to you: follow the data protection laws that apply to you (such as GDPR, PIPEDA or CCPA) and the terms of the sites you collect from. If you are unsure whether your use case is allowed, check with a lawyer. Apify's guide Is web scraping legal? is a good starting point.

Does it access any private data? No. It never logs in and uses no accounts, cookies or API keys. It reads only what each career site shows to every visitor: the public job listings, job pages and the site's own job counts. Internal fields such as recruiter or hiring-manager names and emails are dropped before anything is saved, and contact details inside descriptions are masked.