eFinancialCareers Jobs Scraper

Pull finance, banking, and fintech job listings from eFinancialCareers at scale — titles, hiring companies, multi-currency salaries, sectors, work arrangement, posting dates, full descriptions, and apply links across the US, UK, Europe, and Asia. Built for finance recruiters, talent teams, and compensation analysts who need fresh, structured eFinancialCareers data without copying listings off the site one search at a time.

Why This Scraper?

• Up to 50 keywords in a single run — batch "quantitative developer", "risk manager", "compliance officer" and more into one execution with cross-query deduplication. The leading competitor runs a single keyword at a time.
• Five regional scopes covering 45+ country markets — United States and United Kingdom come back pinned to that one country, or open it up with Europe (30+ markets), Asia (16, led by India, Hong Kong and Singapore), or Global. Pick a multi-country region and your result limit is spread across its countries by job volume, so a Europe run comes back with UK, German, French, Dutch, Irish, Polish and Swiss listings instead of one market's worth.
• Finance-sector targeting as a first-class filter — narrow to any of 12 named sectors: Investment Banking / M&A, Asset Management, Trading, Private Equity, Hedge Funds, Risk Management, Compliance / Legal, Accounting & Finance, Technology, Operations, Wealth Management, or Insurance — a filter the competitor doesn't offer at all.
• Five employment types, plus a work-arrangement filter — narrow to Permanent, Contract, Temporary, Internship / Graduate, or Self-Employed roles, and optionally to Remote, Hybrid, or On-site.
• Work arrangement read out of the ad, not just the tag — eFinancialCareers employers tag only about 4 listings in 100 as Remote, Hybrid, or In-Office. Every untagged row is checked against the advertised text for a stated arrangement, which more than doubles the rows you can classify, and workArrangementSource tells you whether a value came from the listing tag or the ad copy.
• Pay figures that tell you their own unit, so averages come out right — a UK day rate of £800 and a New York salary of $180,000 both land in salaryMin, and salaryPeriod says which is which on 96% of the rows carrying a figure (year / month / week / day / hour), with salaryPeriodSource naming the evidence behind each one. Filter to salaryPeriod == "year" before you average and the number is right; skip that step on a UK contract search and you understate the annual mean by more than half. UK day rates written £550pd or £500 - £600 p/d and shorthand like Total Comp: $300K are all read out of the ad, and salaryDisclosed isolates the one ad in five that prints a real number instead of Competitive.
• Full job descriptions out of the box — every record carries the complete posting text as clean plain text, with no HTML tags or entities to strip out. Across 1,513 listings from eight different searches, a description came back on 100% of rows: median about 4,600 characters, with 8 in 10 landing between 1,700 and 8,400. That is the whole ad, not the search-card teaser. Toggle off for lighter, metadata-only records.
• Posted-date freshness windows — restrict to listings posted today, in the last 3 days, or the last 7 days for daily candidate-sourcing pipelines.
• Direct URL passthrough — already have a search dialed in on the eFinancialCareers website? Paste the search-result or job URL and the scraper honors it as-is.

Use Cases

Recruitment & Sourcing

• Build candidate pipelines by tracking which banks and funds are hiring for specific desks
• Surface fresh roles daily with the "posted today" window for fast-moving mandates
• Target niche talent by sector (e.g. quant, structured credit, regulatory compliance)
• Identify contract and interim opportunities for staffing-firm placement

Compensation & Market Research

• Track salary bands across cities, sectors, and seniority using parsed salaryMin / salaryMax
• Compare pay for the same role across US, UK, EU, and Asia editions in native currency
• Pull the subset of roles that actually advertise remote or hybrid working, and see how that share moves by city and sector
• Benchmark advertised compensation against your own offer ranges

Competitive & Hiring Intelligence

• Monitor which firms are scaling specific teams and how fast their postings turn over
• Track new-entrant fintechs vs. bulge-bracket banks competing for the same talent
• Watch sector hiring shifts (e.g. compliance ramp-ups, trading-desk build-outs)
• Build company-level views of open headcount by function and location

Job-Market Analytics & Aggregation

• Power a finance-only or region-specific job board with fresh eFinancialCareers listings
• Build longitudinal datasets of financial-services hiring activity by sector and region
• Study employer behavior around remote work, contract employment, and graduate intake
• Enrich existing job-board records with full descriptions and direct apply links

Getting Started

Simple Keyword Search

The fastest way to start — one keyword, sensible defaults:

{
    "searchQueries": ["financial analyst"],
    "region": "us",
    "maxResultsPerQuery": 100
}

Filtered Search — Fresh Remote London Roles

Narrow down to recent, remote, permanent roles in a specific market and sector:

{
    "searchQueries": ["risk manager", "compliance officer"],
    "location": "London",
    "region": "uk",
    "sector": "compliance",
    "employmentType": "PERMANENT",
    "workArrangement": "REMOTE",
    "postedWithinDays": "7",
    "maxResultsPerQuery": 200
}

Compensation Sweep — High-Salary Quant Roles

Surface only roles whose advertised salary clears a floor in the region's currency:

{
    "searchQueries": ["quantitative developer", "quantitative researcher"],
    "region": "us",
    "sector": "trading",
    "minSalary": 200000,
    "maxResultsPerQuery": 500
}

Direct URL + Keyword Combo

Already have a search tuned on the eFinancialCareers website? Paste the URL alongside your own keywords for a mixed batch:

{
    "searchQueries": ["portfolio manager"],
    "startUrls": [
        "https://www.efinancialcareers.com/jobs?searchString=hedge+fund+analyst&location=Singapore"
    ],
    "region": "asia",
    "maxResultsPerQuery": 250
}

Input Reference

Search

Parameter	Type	Default	Description
searchQueries	string[]	["financial analyst"]	Job titles or keywords to search for, such as "financial analyst", "risk manager", or "quantitative developer". Each keyword runs a separate search (up to 50). Leave empty to collect the broadest result set for your location and filters.
location	string	""	City, region, or country to search in. Examples: "New York", "London", "Singapore", "Hong Kong". Leave empty to search worldwide within the selected region.
startUrls	string[]	[]	Paste full eFinancialCareers search-result URLs or individual job-listing URLs to scrape them directly. Useful when you already have a search dialed in on the website. Up to 50 URLs per run.

Filters & Limits

Parameter	Type	Default	Description
region	select	United States	Which part of the world to search. United States and United Kingdom return that country only. Europe (all countries), Asia (all countries) and Global (all regions) cover every country in the block and spread your result limit across them in proportion to how many jobs each country holds. Options: United States, United Kingdom, Europe (all countries), Asia (all countries), Global (all regions).
sector	select	Any sector	Limit results to one finance sector. Options include Investment Banking / M&A, Asset Management, Trading / Sales & Trading, Private Equity, Hedge Funds, Risk Management, Compliance / Legal, Accounting & Finance, Technology, Operations, Wealth Management, Insurance.
employmentType	select	Any	Filter by contract type. Options: Any, Permanent / Full-time, Contract, Temporary, Internship / Graduate Trainee, Self-Employed.
workArrangement	select	Any	Filter by where the role is performed. Options: Any, Remote, Hybrid, On-site / Office.
postedWithinDays	select	Any time	Only show jobs posted within this window. Options: Any time, Today, Last 3 days, Last 7 days.
minSalary	integer	null	Only show jobs whose advertised salary meets or exceeds this amount, in the region's local currency. Listings with no pay figure on file are excluded when a minimum is set.
maxResultsPerQuery	integer	100	Maximum job listings to collect per search keyword (or per start URL). Set to 0 to collect all available results. Results come in pages of 50, and the whole final page is always kept, so a small cap can return up to a full page more than requested.

Output

Parameter	Type	Default	Description
includeDescription	boolean	true	Include the full job description text for each listing. Leave on for the most complete data. Turn off for lighter records when you only need titles, companies, locations, and salaries.

Output

Each record is one job listing with the full set of structured fields:

{
    "jobId": "24710250",
    "title": "Senior Quantitative Developer",
    "company": "Meridian Capital Partners",
    "companyLogoUrl": "https://www.efinancialcareers.com/logo/8c1f2ad4-6b90-4e77-9a35-0f2d5b41c7e2.png",
    "location": "New York, United States",
    "city": "New York",
    "state": "New York",
    "country": "United States",
    "salary": "USD180000 - USD220000 per annum",
    "salaryMin": 180000,
    "salaryMax": 220000,
    "salaryCurrency": "USD",
    "salaryPeriod": "year",
    "salaryPeriodSource": "listing",
    "salaryDisclosed": true,
    "employmentType": "Permanent",
    "workArrangement": "Hybrid",
    "workArrangementSource": "listing",
    "sectors": ["Trading - Derivatives (general)", "Technology - Development"],
    "postedDate": "2026-08-25T19:07:28.177Z",
    "expirationDate": "2026-09-22T23:45:00.000Z",
    "summary": "Join a systematic trading desk building low-latency pricing models...",
    "description": "We are seeking a Senior Quantitative Developer to design and implement...",
    "isExternalApplication": false,
    "applyUrl": "https://www.efinancialcareers.com/jobs-United_States-New_York-Senior_Quantitative_Developer.id24710250",
    "jobUrl": "https://www.efinancialcareers.com/jobs-United_States-New_York-Senior_Quantitative_Developer.id24710250",
    "searchQuery": "quantitative developer",
    "searchLocation": "New York",
    "scrapedAt": "2026-08-26T11:42:40.017128+00:00"
}

Core Fields

Field	Type	Description
jobId	string	eFinancialCareers job identifier — an all-digit string such as 24710250, with no letter prefix.
title	string	Job title.
company	string	Hiring company or recruiter brand name.
companyLogoUrl	string | null	Company / brand logo URL.
summary	string | null	Short summary as shown on the search-results card.
description	string | null	Full job description text (when includeDescription is on).
jobUrl	string	Canonical eFinancialCareers listing URL.
scrapedAt	string	ISO 8601 timestamp of when the record was captured.

Location

Field	Type	Description
location	string | null	Full location string as displayed, in City, Country form — New York, United States, London, United Kingdom. City-states and single-name markets come back as just that name (Singapore, Hong Kong, Luxembourg).
city	string | null	City or borough — New York, Manhattan, London, Frankfurt am Main.
state	string | null	State, province, or region, always spelled out in full and never abbreviated: New York rather than NY, England for most UK roles, Ile-de-France for Paris. 95 distinct values across a 1,513-listing sample.
country	string | null	Country name in full, never a two- or three-letter code: United States, never USA. 21 countries across the same sample, led by United States, United Kingdom, Singapore, France, Hong Kong, and Germany.

Salary

Field	Type	Description
salary	string | null	Raw advertised salary text, exactly as the employer wrote it. Most ads print a placeholder here (Competitive, Negotiable) rather than a figure.
salaryMin	number | null	Lowest pay figure the listing states. Empty when the ad quotes a ceiling only ("Up to £1,400 per day").
salaryMax	number | null	Highest pay figure the listing states. Matches salaryMin when the ad quotes a single number.
salaryCurrency	string | null	Currency code (e.g. USD, GBP, EUR, SGD).
salaryPeriod	string | null	The unit of salaryMin and salaryMax: year, month, week, day, or hour. Filled on 96% of rows that carry a figure. Left empty rather than guessed on the rest, which are mostly Singapore and Hong Kong ads whose market quotes monthly and annual pay in the same range.
salaryPeriodSource	string | null	What established the period: listing (the salary line said so), description (the ad text said so next to this figure), or magnitude (the size of the figure could only be one unit in that currency).
salaryDisclosed	boolean	true when the row carries a real pay figure, false when the employer withheld it. Filter on this to build a comparable pay dataset.

Classification

Field	Type	Description
employmentType	string | null	Contract type in eFinancialCareers' own wording — one of Permanent, Contract, Internships & Graduate Trainee, Temporary, or Self Employed. Match these strings exactly downstream: the input dropdown's friendlier labels (Internship / Graduate Trainee, Self-Employed) are not what lands in the row.
workArrangement	string | null	One of Hybrid, In-Office, Remote, or Flexible — the site says In-Office, never "On-site". Taken from the listing tag when the employer set one, otherwise read from the advertised text. Most finance ads state nothing either way, and Asia-Pacific ads almost never do, so expect this blank on a majority of rows.
workArrangementSource	string | null	listing when the employer tagged the role, description when the value was read out of the ad copy. Filter to listing if you only want the employer's own declaration.
sectors	string[]	Finance sectors / job functions tagged on the listing, in the site's own wording — Technology, Accounting & Finance, Compliance/Legal - Compliance Regulatory, Trading - Derivatives (general). 159 distinct values across a 1,513-listing sample, and every row carried at least one.
postedDate	string | null	ISO date the listing was posted.
expirationDate	string | null	ISO expiry date when the employer sets a real one.

Application & Provenance

Field	Type	Description
isExternalApplication	boolean | null	Whether applying happens on an external site.
applyUrl	string | null	Apply / application URL.
searchQuery	string | null	The keyword that surfaced this row.
searchLocation	string | null	The location used for the search.

Tips for Best Results

• Use specific keywords — "fixed income trader" returns far cleaner results than "trader". Broad terms dilute relevance across thousands of postings.
• Pick the region for coverage, then narrow with location — Europe, Asia and Global sample every country in the block by job volume, so a 100-result Europe run typically spans ten countries. When you want one market only, leave region where it is and set location to "Frankfurt", "Hong Kong" or "Zurich" — a location always wins over the wider region. Salaries come back in each listing's own currency either way.
• Always group by salaryPeriod before averaging pay — a contract search mixes day rates and annual salaries in the same salaryMin column, so a straight average over a UK contract pull lands near £25,000 when the annual roles alone average nearly £55,000. Split on salaryPeriod == "year" and the two populations separate cleanly.
• Run a salary-band sweep for compensation studies — set minSalary and run the same role across us, uk, and eu editions to compare pay floors, then keep only the rows where salaryDisclosed is true. Employers who quote a band to the job board frequently still print Competitive on the ad itself, so that flag is the reliable signal, not the salary line.
• Set postedWithinDays to "Today" for fresh listings — ideal for daily candidate-sourcing pipelines and new-role alerting.
• Batch related titles in one run — populate searchQueries with several variants (e.g. ["compliance officer", "compliance analyst", "regulatory compliance"]) to deduplicate across queries automatically and save spinning up multiple runs.
• Filter on the value the row carries, not the dropdown label — the input dropdowns use friendly names, the rows carry the site's own wording spelled out in full. In Sheets, Zapier, or your own pipeline, test country == "United States" (never "USA"), state == "New York" (never "NY"), and employmentType == "Internships & Graduate Trainee" (never "Internship"). No location field is ever abbreviated.
• Turn off includeDescription for lighter pulls — when you only need titles, companies, locations, and salaries, skipping the full description text produces leaner records for high-volume analytics.

Pricing

From $1.00 per 1,000 results — pay only for the job listings you actually receive. No compute charges — you only pay per result returned. Apify's loyalty tiers lower the rate as your plan level rises, and Gold subscribers pay the headline price.

Results	No discount	Bronze	Silver	Gold
100	$0.12	$0.11	$0.11	$0.10
1,000	$1.20	$1.13	$1.06	$1.00
10,000	$12.00	$11.30	$10.65	$10.00
100,000	$120.00	$113.00	$106.50	$100.00

These tiered rates take effect on 10 September 2026; every run before that date bills at $1.00 per 1,000 results. A "result" is one job listing in the output dataset. We match the headline rate of comparable eFinancialCareers scrapers but ship far more: 50-keyword batches, five regional editions, 12 sector filters, and parsed multi-currency salaries. Platform fees depend on your Apify plan.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate recruiting, market research, compensation benchmarking, and labor-market analysis. Only public job listings are collected — no private employer dashboards, applicant data, or candidate contact details. Users are responsible for complying with applicable laws and eFinancialCareers' Terms of Service. Do not redistribute collected listings as a substitute for eFinancialCareers' own product, and do not use the data for spam, harassment, candidate impersonation, or any unlawful purpose.