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eFinancialCareers Scraper

Pricing

from $1.50 / 1,000 results

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eFinancialCareers Scraper

eFinancialCareers Scraper

Scrape eFinancialCareers for finance & banking jobs worldwide. Extract salary, sectors, work arrangement and full descriptions across 40+ countries. No API key required.

Pricing

from $1.50 / 1,000 results

Rating

0.0

(0)

Developer

Unfenced Group

Unfenced Group

Maintained by Community

Actor stats

1

Bookmarked

3

Total users

1

Monthly active users

6 days ago

Last modified

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Apify actor that scrapes finance and fintech job listings from eFinancialCareers across 19 global markets.

Features

  • 19 markets — US, UK, HK, SG, AE (Dubai), DE, FR, CH, AU, CA, JP, LU, NL, BE, IE, SE, NO, IN, ZA
  • schema.org/JobPosting JSON-LD extraction (preferred over DOM)
  • Finance-specific fields — licensing requirements (Series 7, CFA, FRM, CAIA …), desk classification (front/middle/back office), AUM ranges
  • Cross-run deduplication via KeyValueStore with 90-day TTL
  • Residential proxy support (strongly recommended)
  • Full description in HTML, plain text, and Markdown

Input

FieldTypeRequiredDefaultDescription
maxResultsintegerMax jobs to scrape
skipRepostsbooleantrueSkip previously seen jobs
marketsstring[]["US","UK","HK","SG","AE"]Market codes to scrape
searchQuerystring""Optional keyword filter
proxyConfigurationobjectRESIDENTIALApify proxy config

Example input

{
"maxResults": 500,
"skipReposts": true,
"markets": ["US", "UK", "HK", "SG", "AE"],
"searchQuery": "quantitative analyst",
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}

💰 Structured salary data — machine-ready

Salary is returned as split numeric fields. No regex required on your end:

FieldTypeExample
salaryMinnumber | null3500
salaryMaxnumber | null5000
salaryCurrencystring | null"EUR"

Most competing scrapers return salary as a raw string (e.g., "€3,500 – €5,000"), leaving the parsing to you. This scraper delivers numeric min/max fields directly — ready for WHERE salaryMin > 50000 queries or salary distribution analysis.


Output

Each dataset item contains:

FieldDescription
idUnique job ID
urlCanonical job URL
titleJob title
companyHiring company
locationCity / region
salarySalary range (if published)
descriptionFull description HTML
descriptionTextPlain-text description
descriptionMarkdownMarkdown description
publishDateISOISO 8601 publish date
contentHash16-char MD5 of url+date
sourcee.g. efinancialcareers_us
scrapedAtISO 8601 scrape timestamp
isRepostWas this job seen before?
originalPublishDateFirst seen publish date
originalUrlFirst seen URL
marketCodee.g. US, HK, SG
employmentTypee.g. FULL_TIME
industrySector from JSON-LD
licensingRequirements["CFA","Series 7",…]
deskClassificationfront_office / middle_office / back_office
aumRangesAUM figures from description

Supported Markets

CodeDomain
USefinancialcareers.com
UKefinancialcareers.co.uk
HKefinancialcareers.hk
SGefinancialcareers.sg
AEefinancialcareers.ae
DEefinancialcareers.de
FRefinancialcareers.fr
CHefinancialcareers.ch
AUefinancialcareers.com.au
CAefinancialcareers.ca
JPefinancialcareers.jp
LUefinancialcareers.lu
NLefinancialcareers.nl
BEefinancialcareers.be
IEefinancialcareers.ie
SEefinancialcareers.se
NOefinancialcareers.no
INefinancialcareers.in
ZAefinancialcareers.co.za

Technical Notes

  • Uses Playwright (Chromium) — headless browser required due to client-side rendering and bot-detection.
  • Residential proxies are required for production use.
  • Job deduplication KVS: efinancialcareers-scraper-job-dedup (90-day TTL).
  • All HTTP calls are wrapped in withRetry() with exponential backoff; 429/503 errors get a 3× longer wait.