eFinancialCareers Scraper

Extract structured job listings from eFinancialCareers — the world's largest job board for finance, banking, and fintech professionals. Covers 19 global markets including the US, UK, Hong Kong, Singapore, UAE, Germany, France, and more. No API key required.

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Why this scraper?

🌍 19 global finance markets

Scrape the US, UK, Hong Kong, Singapore, UAE, Germany, France, Switzerland, Australia, Canada, Japan, Luxembourg, Netherlands, Belgium, Ireland, Sweden, Norway, South Africa, and India in a single run.

💰 Salary data

Returns the raw salary string (e.g. "GBP 80k–120k per year") and the currency code for every job that discloses pay, plus parsed numeric min/max where the format allows reliable extraction.

📍 Lat/long geocoordinates

With Include full details enabled, each job carries precise latitude and longitude — enabling geographic clustering, commute-radius filtering, and map visualisations out of the box.

🏦 Finance-specific intelligence

Extracts licensing requirements (CFA, FRM, Series 7, CAIA, etc.) and front/middle/back-office desk classification from job descriptions where present — fields unique to this scraper.

🔄 Repost deduplication

90-day cross-run fingerprint cache flags reposted jobs with isRepost: true. Recurring scheduled runs only surface genuinely new listings.

📝 Full HTML descriptions + direct apply links

Rich HTML descriptions, plain text, and Markdown variants included. Each job includes a direct applyUrl and companyProfileUrl.

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Input parameters

Parameter	Type	Default	Description
searchQuery	string	—	Keyword or job title (e.g. quantitative analyst, CFA). Leave empty for all jobs.
location	string	—	City or country override (e.g. London, New York). Leave empty to use the market default.
markets	array	["US","UK","HK","SG","AE"]	Market codes to scrape. Supported: US, UK, HK, SG, AE, DE, FR, CH, AU, CA, JP, LU, NL, BE, IE, SE, NO, ZA, IN.
maxResults	integer	5	Maximum listings to return across all markets.
positionType	string	—	PERMANENT, CONTRACT, TEMPORARY, INTERNSHIPS_AND_GRADUATE_TRAINEE, SELF_EMPLOYED.
employmentType	string	—	FULL_TIME or PART_TIME.
workArrangementType	string	—	REMOTE, HYBRID, IN_OFFICE, FLEXIBLE.
sector	string	—	Sector code, e.g. ASSET_MANAGEMENT, RISK_MANAGEMENT, INVESTMENT_BANKING, INFORMATION_TECHNOLOGY.
daysOld	integer	0	Only jobs posted within this many days. 0 = no filter.
includeRemote	boolean	true	Include remote-friendly jobs in location-based searches.
currencyCode	string	—	Currency for salary display (USD, GBP, EUR, SGD, etc.). Defaults to market currency.
skipReposts	boolean	true	Skip jobs seen in previous runs (90-day dedup).
fetchDetails	boolean	false	Fetch full HTML descriptions, geocoordinates, and enriched metadata.
compact	boolean	false	Return core fields only — useful for LLM pipelines.

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Output schema

Always present

Field	Type	Description
jobId	string	Numeric job ID as shown in the URL
url	string	Canonical job listing URL
title	string	Job title
company	string	Short company/brand name
fullCompanyName	string | null	Full legal company name if different
city	string | null	City
state	string | null	State or region
country	string | null	Country name
countryCode	string | null	ISO-2 country code (e.g. GB, US, SG)
region	string | null	Broad region (e.g. Europe, Asia)
locationDisplay	string | null	Combined location display string
postedDate	string | null	ISO 8601 UTC timestamp of posting
expirationDate	string | null	ISO 8601 UTC expiry timestamp
salary	string | null	Raw salary string (e.g. "GBP 80k - GBP 120k per year")
salaryMin	number | null	Parsed minimum salary (null if not disclosed)
salaryMax	number | null	Parsed maximum salary (null if not disclosed)
salaryCurrency	string | null	Currency code (e.g. GBP, USD, SGD)
jobPaymentType	string | null	Always "PAID" in practice
employmentType	string | null	"Full time" or "Part time"
positionType	string | null	"Permanent", "Contract", "Temporary", etc.
workArrangementType	string | null	"Hybrid", "Remote", "In Office", or null
sectors	string[]	eFinancialCareers sector codes
subSectors	string[] | null	Sub-sector codes where available
isExternalApplication	boolean | null	True if apply link goes to external site
isHighlighted	boolean	True for sponsored/featured listings
score	number | null	Relevance score from the search API
language	string | null	Listing language code
normalizedTitle	string | null	Normalised job title from eFC taxonomy
summary	string | null	Short text summary (up to 500 chars)
isRepost	boolean	True if this job was seen in a previous run
originalPublishDate	string | null	First-seen publish date (reposts only)
originalUrl	string | null	Original URL (reposts only)
marketCode	string	Two-letter market code (e.g. UK, SG)
source	string	Source identifier (e.g. efinancialcareers_uk)
contentHash	string	16-char MD5 fingerprint for change detection
scrapedAt	string	ISO 8601 timestamp of this scrape

With fetchDetails: true

Field	Type	Description
latitude	number | null	Precise latitude coordinate
longitude	number | null	Precise longitude coordinate
applyUrl	string | null	Direct application URL
companyProfileUrl	string | null	Company profile page on eFinancialCareers
companyLogoUrl	string | null	Company logo image URL
jobReference	string | null	Recruiter reference code (e.g. R260189)
isLoginRequired	boolean | null	True if login is required to view/apply
descriptionHtml	string | null	Full job description as HTML
descriptionText	string | null	Full job description as plain text
descriptionMarkdown	string | null	Full job description as Markdown
licensingRequirements	string[] | null	Detected licences: CFA, FRM, Series 7, CAIA, etc.
deskClassification	string | null	front_office, middle_office, or back_office

Example record

{
  "jobId": "24313799",
  "url": "https://www.efinancialcareers.co.uk/jobs-UK-London-Analyst.id24313799",
  "title": "Analyst — Capital Solutions Syndication",
  "company": "Apollo Global Management, Inc.",
  "fullCompanyName": "Apollo Global Management, Inc.",
  "city": "London",
  "state": "England",
  "country": "United Kingdom",
  "countryCode": "GB",
  "region": "Europe",
  "locationDisplay": "London, United Kingdom",
  "latitude": 51.50853,
  "longitude": -0.12574,
  "postedDate": "2026-05-29T07:09:15.000Z",
  "expirationDate": "2050-01-01T23:45:00.000Z",
  "salary": "Competitive",
  "salaryMin": null,
  "salaryMax": null,
  "salaryCurrency": "GBP",
  "jobPaymentType": "PAID",
  "employmentType": "Full time",
  "positionType": "Permanent",
  "workArrangementType": null,
  "sectors": ["ACCOUNTING_FINANCE"],
  "subSectors": ["ACCOUNTING_FINANCE__OTHER"],
  "applyUrl": "https://www.efinancialcareers.co.uk/jobs-UK-London-Analyst.id24313799?apply=true",
  "companyProfileUrl": "https://www.efinancialcareers.co.uk/jobs/at-Apollo-Global-Management,-Inc.",
  "jobReference": "R260189",
  "isExternalApplication": true,
  "isLoginRequired": true,
  "isHighlighted": false,
  "score": 1.0,
  "normalizedTitle": "Analyst",
  "summary": "The Apollo Capital Solutions Syndication team is seeking a detail-oriented Analyst...",
  "descriptionHtml": "<b>Position Overview</b><br/>...",
  "descriptionText": "Position Overview The Apollo Capital Solutions Syndication team...",
  "descriptionMarkdown": "**Position Overview**\n\nThe Apollo Capital Solutions...",
  "licensingRequirements": ["CFA"],
  "deskClassification": "front_office",
  "isRepost": false,
  "originalPublishDate": null,
  "originalUrl": null,
  "marketCode": "UK",
  "source": "efinancialcareers_uk",
  "contentHash": "a3f1b2c4d5e67890",
  "scrapedAt": "2026-06-10T15:00:00.000Z"
}

---

Examples

Search for quant roles in New York:

{
  "searchQuery": "quantitative analyst",
  "location": "New York",
  "markets": ["US"],
  "maxResults": 100,
  "fetchDetails": true
}

Contract compliance roles across European markets:

{
  "searchQuery": "compliance",
  "markets": ["UK", "DE", "FR", "NL", "BE"],
  "positionType": "CONTRACT",
  "maxResults": 200,
  "fetchDetails": true
}

Remote asset management jobs — compact output for AI pipeline:

{
  "sector": "ASSET_MANAGEMENT",
  "workArrangementType": "REMOTE",
  "markets": ["US", "UK", "SG", "HK"],
  "maxResults": 500,
  "fetchDetails": false,
  "compact": true
}

Daily new job feed (schedule this every 24 hours):

{
  "markets": ["US", "UK", "HK", "SG", "AE"],
  "daysOld": 1,
  "skipReposts": true,
  "fetchDetails": true,
  "maxResults": 1000
}

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💰 Pricing

$0.89 per 1,000 results — you only pay for successfully retrieved listings. Failed retries and filtered reposts are never charged.

Results	Cost
100	~$0.09
1,000	~$0.89
10,000	~$8.90
100,000	~$89.00

Flat-rate alternatives typically charge $29–$49/month regardless of usage.

Use the Max results cap in the input to control your spend exactly.

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Performance

Run size	Approx. time	Memory used
100 results	~30 seconds	~150 MB
1,000 results	~3 minutes	~200 MB
10,000 results	~25 minutes	~250 MB

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Known limitations

• Many finance listings show "Competitive" as salary — this is standard industry practice, not a scraper limitation. salaryMin and salaryMax will be null for these listings.
• workArrangementType is null for older listings predating eFinancialCareers' work-arrangement classification system.
• The sector filter accepts a single code per run. To collect multiple sectors, run separate scrapes.
• postedDate API values of ONE, THREE, SEVEN days are used for daysOld ≤ 7; larger values apply a client-side date cutoff which may fetch more pages than strictly needed.

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Technical details

• Source: efinancialcareers.com — global finance job board, 19 TLDs
• Memory: 512 MB
• Proxy: None required — all endpoints are publicly accessible
• Repost storage: KeyValueStore efinancialcareers-scraper-job-dedup, 90-day TTL
• Retry: Automatic retry on network errors, exponential backoff, 3 attempts per request

Related scrapers

Other scrapers in our Jobs — Finance & Specialist collection:

• TheLadders.Com Job Scraper
• Workday.com Scraper
• Freelancer.com Scraper
• TheHub.io Scraper

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