eFinancialCareers Jobs Scraper

What does eFinancialCareers Jobs Scraper do?

eFinancialCareers Jobs Scraper collects public finance and financial-services job listings from eFinancialCareers and saves them as structured Apify dataset records. Enter a role keyword, an optional location, and the number of results you want to collect.

Each job record can include the title, employer, location, salary details, employment type, work arrangement, posting and expiration dates, sectors, job description, company branding, and direct listing URL. Use the data for hiring intelligence, salary benchmarking, recruiting research, company monitoring, lead generation, and job-market reporting.

Why use eFinancialCareers Jobs Scraper?

• Build finance hiring datasets - Collect listings for roles such as financial analyst, risk manager, investment banking associate, compliance officer, treasury manager, and quantitative analyst.
• Compare compensation signals - Analyze published salary text, minimum and maximum salary values, currency, and payment type across companies, roles, and locations.
• Monitor hiring demand - Run the same keyword and location search on a schedule to track new opportunities and changes in the finance labor market.
• Support recruiting workflows - Create focused employer and job lists with company names, descriptions, sectors, work arrangements, and direct listing URLs.
• Keep output ready for analysis - Download the dataset as JSON, CSV, Excel, or XML, or connect it to spreadsheets, webhooks, and automation tools.

What data can you extract from eFinancialCareers?

The Actor removes empty values from individual records. Fields appear when the source listing provides the corresponding information.

Field	Description
job_id	Unique eFinancialCareers job identifier.
source_id	Source listing identifier.
title	Published job title.
company	Employer or advertiser name.
full_company_name	Extended company name when available.
location	Combined location text.
city	City associated with the listing.
state	State, province, or region value.
country	Country associated with the listing.
region	Broader geographic region.
salary	Salary text displayed in the listing.
min_salary	Minimum numeric salary when published.
max_salary	Maximum numeric salary when published.
salary_currency	Currency code for numeric salary values.
job_payment_type	Payment type information from the listing.
date_posted	Job posting timestamp.
expiration_date	Expiration timestamp when available.
expiration_date_type	Expiration type information.
job_type	Employment type values such as full time or contract.
work_arrangement_type	Work model such as remote, hybrid, or on-site.
position_type	Position category when published.
sectors	Sector or industry tags.
language	Listing language.
summary	Short summary of the opportunity.
description_html	Job description in HTML format when available.
description_text	Plain-text job description.
url	Direct eFinancialCareers job listing URL.
client_brand_id	Advertiser or client brand identifier.
client_brand_name	Advertiser or client brand name.
location_id	Source location identifier.
city_id	Source city identifier.
country_id	Source country identifier.
company_logo_url	Company logo URL when published.
job_advert_logo_url	Job advert logo URL when published.
profile_image	Profile image URL when available.
cover_image	Cover image URL when available.
full_normalized_job_title	Normalized version of the job title.
is_external_application	Whether the application process is external.
is_highlighted	Whether the listing is highlighted.
is_ecommerce	Source indicator returned for the listing.
score	Source relevance or ranking score when available.

How to scrape eFinancialCareers jobs

1. Open eFinancialCareers Jobs Scraper in Apify Console.
2. Enter a specific role in keyword, such as financial analyst or risk manager.
3. Add a city, country, or region in location when you need a focused market.
4. Set results_wanted and max_pages for the size of the collection.
5. Run the Actor, review the dataset preview, and download or connect the results to your workflow.

For the simplest run, provide only a keyword and use the default page limit. Leave keyword or location empty when you want broader results.

Input Parameters

Parameter	Type	Required	Default	Description
keyword	String	No	""	Job title, skill, or search phrase, such as financial analyst, risk manager, or compliance.
location	String	No	""	City, country, or region filter, such as New York, London, or United States.
results_wanted	Integer	No	100	Maximum number of unique job records to save. Values below 1 are adjusted to 1.
max_pages	Integer	No	10	Maximum number of result pages to process. Values below 1 are adjusted to 1.
proxyConfiguration	Object	No	Not set	Optional Apify proxy configuration for repeated or larger runs.

Usage Examples

Basic role search

Collect up to 50 financial analyst jobs in New York.

{
  "keyword": "financial analyst",
  "location": "New York",
  "results_wanted": 50
}

Regional hiring research

Collect a larger set of risk and compliance opportunities across the United Kingdom and process up to 15 result pages.

{
  "keyword": "risk compliance",
  "location": "United Kingdom",
  "results_wanted": 300,
  "max_pages": 15
}

Scheduled collection with proxy settings

Use the optional proxy configuration for a recurring London search that tracks investment banking roles.

{
  "keyword": "investment banking",
  "location": "London",
  "results_wanted": 200,
  "max_pages": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Output Data

The dataset contains one JSON object per unique job listing. Values are returned using the following types when present.

Field	Type	Description
job_id	String	Unique job identifier.
title	String	Job title.
company	String	Company or advertiser name.
location	String	Combined published location.
city, state, country, region	String	Separate geographic values when available.
salary	String	Salary label or range shown by the source.
min_salary, max_salary	Number	Numeric salary bounds when available.
salary_currency	String	Salary currency code.
date_posted, expiration_date	String	Posting and expiration timestamps.
job_type	Array	Employment type values.
work_arrangement_type	String	Remote, hybrid, on-site, or other work arrangement.
position_type	String	Position category.
sectors	Array	Sector tags.
summary, description_text, description_html	String	Summary and description formats.
url	String	Direct job listing URL.
client_brand_name	String	Client or advertiser brand name.
company_logo_url, job_advert_logo_url	String	Branding asset URLs when published.
full_normalized_job_title	String	Normalized job title.
is_external_application, is_highlighted, is_ecommerce	Boolean	Source listing indicators.
score	Number	Ranking score when available.

Additional identifiers and metadata such as source_id, location_id, city_id, country_id, language, expiration_date_type, client_brand_id, profile_image, and cover_image may also be included.

Sample Output

This is one representative dataset item. Optional fields may be omitted when an eFinancialCareers listing does not publish them.

{
  "job_id": "23954835",
  "source_id": "atdWldnNfXAkbiT4",
  "title": "Application Support Engineer - New York",
  "company": "Marlin Selection",
  "full_company_name": "Marlin Selection",
  "location": "New York, New York, United States",
  "city": "New York",
  "state": "New York",
  "country": "United States",
  "salary": "Competitive",
  "salary_currency": "USD",
  "date_posted": "2026-03-13T09:40:29.620Z",
  "job_type": [
    "Full time"
  ],
  "work_arrangement_type": "Hybrid",
  "sectors": [
    "Financial Services"
  ],
  "description_text": "Our client, a global fintech business, is seeking to hire an Application Support Engineer in New York.",
  "url": "https://www.efinancialcareers.com/jobs-United_States-New_York-Application_Support_Engineer_-_New_York.id23954835",
  "client_brand_name": "Marlin Selection",
  "is_external_application": false,
  "is_highlighted": false,
  "is_ecommerce": false,
  "score": 0.9999
}

Tips for Best Results

• Use focused finance terms - Try phrases such as quant analyst, credit risk, AML analyst, treasury manager, or corporate finance instead of a very broad term like manager.
• Combine keyword and location - Separate runs by city or country make regional comparison and reporting easier.
• Start with a small limit - Use 20 to 50 results to confirm that the search is relevant before increasing results_wanted.
• Increase pages for larger datasets - Raise max_pages when the result limit is high. The Actor stops when it reaches results_wanted or when no further listings are available.
• Use consistent scheduled inputs - Keep the same keyword, location, and limits when building comparable daily or weekly hiring snapshots.
• Expect optional fields - Salary, expiration dates, branding, and some location values are only available when the source listing publishes them.
• Review source URLs - Public listings can change or expire. Keep the direct url so downstream users can verify a job before acting on it.

Integrations and Export Formats

• Google Sheets - Share job lists with recruiters, analysts, and hiring teams.
• Airtable - Build searchable employer and opportunity databases.
• Webhooks - Send completed run notifications or dataset information to another service.
• Make and Zapier - Trigger alerts, enrichment, or reporting steps after a run.
• Apify API - Retrieve datasets programmatically for internal applications and scheduled pipelines.

Format	Useful for
JSON	Applications, data pipelines, and AI or RAG workflows.
CSV	Spreadsheet analysis and bulk review.
Excel	Recruiting reports and operational sharing.
XML	Systems that require XML-based interchange.

Frequently Asked Questions

Can I search by both finance role and location?

Yes. Set keyword to the role or skill and location to the city, country, or region you want to analyze.

Does the Actor collect salary information?

Yes, when the eFinancialCareers listing publishes it. The dataset can include the original salary text, numeric salary bounds, and salary_currency.

Are full job descriptions included?

Descriptions are included when available from the listing. Use description_text for plain text and description_html when an HTML-formatted version is useful.

How does the Actor avoid duplicate records?

The Actor keeps a set of job identifiers and falls back to the listing URL or a combination of title, company, and posting date when needed.

Can I run this Actor on a schedule?

Yes. Create an Apify schedule and reuse the same inputs for hourly, daily, weekly, or custom monitoring runs.

Can I export eFinancialCareers data to CSV or Excel?

Yes. Apify datasets can be downloaded in CSV, Excel, JSON, XML, and other supported formats.

Why is a field missing from a job record?

A field may be missing because the employer or source listing did not publish that value. Compare several records before treating an empty field as a collection problem.

Is it legal to collect eFinancialCareers job data?

Collecting public job data may be lawful, but you are responsible for following applicable laws, eFinancialCareers terms, privacy requirements, and any restrictions on using or redistributing the data.

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• BuiltIn Jobs Scraper - Collect technology and startup job listings from BuiltIn.

Support

For issues, feature requests, or questions about the dataset, use the Issues tab on the Actor page in Apify Console.

Legal Notice

This Actor is intended for legitimate collection of publicly available job information. You are responsible for complying with applicable laws, source-site terms, privacy rules, and the policies that apply to your intended use of the data.