eFinancialCareers Jobs Scraper

hipersoft/efinancialcareers-scraper

Scrape finance and banking job listings from eFinancialCareers. Search by keyword and location and export one clean row per job: title, company, location, salary, posted date, employment type, sector and description as JSON, CSV or Excel.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per job scraped

$0.003

Last rebuilt

Oct 26, 2026

Overview

Scrape finance and banking job listings from eFinancialCareers with clean, structured data: job title, company, location, salary, employment type, sector, posted date and full description. Search by keyword and location, walk every result page automatically, and bulk-export live finance job postings into JSON, CSV, Excel or XML. Fast and reliable.

What does eFinancialCareers Jobs Scraper do?

eFinancialCareers Jobs Scraper collects finance, banking and fintech job listings and returns them as structured rows. Search one keyword, narrow to a city, region or country, and bulk-export the results — then use the jobs, companies, salaries and links for a job board, alerts, recruiting research or hiring-market analysis.

What data can you scrape from eFinancialCareers?

💼 Bulk finance jobs — export live listings with automatic pagination
🧑‍💼 Job title — the posting title
🏢 Company — the hiring employer when shown
📍 Location — city, state and country
💰 Salary — pay range and currency when the posting shows one
🕒 Posted date — when the job was published
📂 Sector — the finance sector and specialism tags
🧭 Employment type — full time, part time or contract, plus in-office / hybrid / remote
📝 Description — the full job description and a short summary
🔗 Apply link — the posting URL to the job page

Use cases

Job boards & aggregators — feed fresh, structured finance listings into your own site
Job alerts — monitor new banking, fintech and investment roles by keyword and location
Salary research — track pay ranges across finance roles, sectors and regions
Hiring-market analysis — measure demand by role, company, sector or location over time
Recruiting & lead generation — find firms actively hiring for specific finance skills

How to scrape eFinancialCareers jobs

Add eFinancialCareers Jobs Scraper to your Apify account.
Enter a query (keywords) — for example developer, investment banking analyst, quantitative researcher.
Optionally set a location (e.g. London, New York, Singapore, Hong Kong) to narrow the search.
Set maxItems to cap how many jobs to return.
Run the Actor and export the results as JSON, CSV, Excel or XML — or pull them via the API.

Input

{
  "query": "developer",
  "location": "London",
  "maxItems": 200
}

You can also paste eFinancialCareers search or job URLs directly via startUrls instead of keywords.

Field	Description
`query`	Finance job keywords to search.
`location`	Optional city, region or country filter.
`startUrls`	Optional eFinancialCareers search or job URLs to scrape instead of keywords.
`maxItems`	Maximum jobs to collect (0 = no limit).

Output

Each job is one row. Example:

{
  "jobId": "24739545",
  "title": "Quantitative Research Developer",
  "company": "Stevens Capital Management LP",
  "location": "Hoboken, United States",
  "isRemote": false,
  "employmentType": "Full time",
  "salary": "Competitive",
  "minSalary": 150000,
  "maxSalary": 300000,
  "salaryCurrency": "USD",
  "sector": "INFORMATION_TECHNOLOGY/DEVELOPMENT",
  "postedDate": "2026-09-03T07:33:12.213Z",
  "summary": "Design and develop simulation frameworks for backtesting execution approaches...",
  "url": "https://www.efinancialcareers.com/jobs-United_States-Hoboken-Quantitative_Research_Developer.id24739545",
  "sourceQuery": "developer",
  "collectedAt": "2026-09-06T00:00:00.000Z"
}

Export the whole dataset as JSON, CSV, Excel or XML, or fetch it through the Apify API.

FAQ

Which jobs does this cover? eFinancialCareers focuses on finance, banking, fintech and investment roles worldwide.

Can I filter by location? Yes — set location to a city, region or country and results are narrowed to that area.

Does it include salaries? When a posting lists pay, the scraper returns the salary text plus a numeric range and currency where available.

What formats can I export? JSON, CSV, Excel and XML, or via the Apify API and integrations.

Input

Field	Type	Description
`query` Search keywords	string	Finance job keywords to search for (e.g. "developer", "investment banking analyst", "quantitative researcher", "compliance"). Combine with a Location below to narrow results. Default: `"developer"`
`location` Location	string	Optional city, region or country to filter jobs by (e.g. "London", "New York", "Singapore", "Hong Kong"). Leave empty to search across all locations.
`startUrls` Start URLs (optional)	array	Optional: paste eFinancialCareers search result URLs or job posting URLs straight from your browser instead of using keywords (e.g. https://www.efinancialcareers.com/jobs?q=developer). The scraper walks every result page automatically.
`maxItems` Max items	integer	Maximum number of jobs to collect across all searches (0 = no limit; collect everything the searches return). Default: `100`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~efinancialcareers-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "query": "developer"
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/efinancialcareers-scraper").call(run_input={
    "query": "developer"
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/efinancialcareers-scraper').call({
  "query": "developer"
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job scraped Charged for each finance job listing returned by the scraper.	$0.003	$0.0015

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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