eFinancialCareers Jobs Scraper

Extract, scrape, and collect eFinancialCareers job listings into structured datasets for research, monitoring, and analysis. Gather job titles, company details, salary information, location data, posting dates, and more in a fast and reliable automated workflow. This actor is built for teams that need consistent jobs data for market intelligence, recruiting insights, and reporting.

Features

• Comprehensive Job Data — Collect core listing details plus rich metadata in a single run.
• Automated Pagination — Gather listings across pages until your target volume is reached.
• Built-In Deduplication — Reduce duplicate records for cleaner datasets and easier analysis.
• Structured Output — Receive normalized fields that are ready for BI tools and spreadsheets.
• Flexible Search Controls — Filter collection with keyword, location, and result limits.
• Production-Friendly Runs — Supports scheduled collection and repeatable data monitoring.

Use Cases

Hiring Market Research

Track hiring demand across finance roles, locations, and companies. Build recurring snapshots to understand which skills and job categories are growing or declining over time.

Competitor Intelligence

Monitor where competing firms are hiring and how their job distribution changes by region. Use this data to identify expansion patterns and workforce strategy signals.

Salary and Compensation Analysis

Collect available compensation fields and compare ranges across roles, employers, and markets. Use consistent datasets to support benchmarking and compensation planning.

Lead Generation and Outreach

Create targeted lists of companies actively recruiting for specific roles. Enrich sales, recruiting, or partnership outreach with current hiring signals.

Reporting and Dashboards

Feed datasets into business intelligence tools to build live hiring dashboards. Automate collection and export for weekly or monthly reporting workflows.

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Input Parameters

Parameter	Type	Required	Default	Description
keyword	String	No	—	Search keyword, for example financial analyst or risk manager.
location	String	No	—	Location filter, for example New York or London.
results_wanted	Integer	No	100	Maximum number of job records to collect.
max_pages	Integer	No	10	Maximum number of result pages to process.
proxyConfiguration	Object	No	{"useApifyProxy": true}	Optional proxy settings for improved reliability.

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Output Data

Each item in the dataset contains:

Field	Type	Description
job_id	String	Unique job identifier.
source_id	String	Source listing identifier.
title	String	Job title.
company	String	Company name.
full_company_name	String	Extended company name when available.
location	String	Combined location text.
city	String	City value.
state	String	State or region value.
country	String	Country value.
region	String	Broad geographic region.
salary	String	Salary text shown in listing.
min_salary	Number	Minimum salary value, when available.
max_salary	Number	Maximum salary value, when available.
salary_currency	String	Salary currency code.
job_payment_type	String	Payment type metadata.
date_posted	String	Posting timestamp.
expiration_date	String	Expiration timestamp, when available.
expiration_date_type	String	Expiration type metadata.
job_type	Array	Employment type values.
work_arrangement_type	String	Work model metadata, such as hybrid or remote.
position_type	String	Position category value.
sectors	Array	Sector tags.
language	String	Listing language.
summary	String	Short summary text.
description_html	String	HTML-formatted job description for compatibility.
description_text	String	Main job description text.
url	String	Full job listing URL.
client_brand_id	String	Brand identifier.
client_brand_name	String	Brand name.
location_id	String	Location identifier.
city_id	String	City identifier.
country_id	String	Country identifier.
company_logo_url	String	Company logo URL.
job_advert_logo_url	String	Job advert logo URL.
profile_image	String	Profile image URL.
cover_image	String	Cover image URL.
full_normalized_job_title	String	Normalized title value.
is_external_application	Boolean	Indicates external apply flow.
is_highlighted	Boolean	Indicates highlighted listing.
is_ecommerce	Boolean	E-commerce indicator.
score	Number	Ranking score metadata.

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Usage Examples

Basic Extraction

Collect a focused set of listings for a single role and location.

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

Broad Market Collection

Collect a larger dataset without strict role filtering for market-level analysis.

{
    "keyword": "",
    "location": "United States",
    "results_wanted": 300,
    "max_pages": 6
}

Proxy-Enabled Collection

Use proxy settings for improved reliability in repeated or scheduled runs.

{
    "keyword": "risk manager",
    "location": "London",
    "results_wanted": 100,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
}

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Sample Output

{
    "job_id": "23954835",
    "source_id": "atdWldnNfXAkbiT5",
    "title": "Application Support Engineer - New York",
    "company": "Marlin Selection",
    "location": "New York, New York, United States",
    "salary": "Competitive",
    "job_type": [
        "Full time"
    ],
    "work_arrangement_type": "Hybrid",
    "date_posted": "2026-03-13T09:40:29.620Z",
    "description_html": "<p>Our client a global fintech business is seeking to hire an Application Support Engineer in New York...</p>",
    "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",
    "salary_currency": "USD",
    "client_brand_name": "Marlin Selection",
    "is_external_application": false,
    "is_highlighted": false,
    "score": 0.9999
}

---

Tips for Best Results

Choose Specific Search Terms

• Use role-focused keywords like quant analyst, compliance officer, or treasury manager.
• Test a few keyword variations to improve relevance before large runs.

Start Small, Then Scale

• Begin with results_wanted: 20-50 to validate output quality.
• Increase result limits once filters and field coverage match your needs.

Optimize Location Strategy

• Use clear city or country names for tighter datasets.
• Run separate jobs per location to simplify downstream comparisons.

Schedule Recurring Runs

• Schedule daily or weekly runs for trend monitoring.
• Use consistent input settings to create comparable historical datasets.

Proxy Configuration

• Enable proxy settings for more stable repeated collection.
• For larger workloads, prefer resilient proxy setups in scheduled tasks.

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Integrations

Connect your dataset with:

• Google Sheets — Share listings quickly for collaborative review.
• Airtable — Build searchable job databases with filters and views.
• Slack — Send alerts when new matching jobs are collected.
• Webhooks — Forward fresh data to your own applications.
• Make — Automate multi-step workflows without custom code.
• Zapier — Trigger downstream actions across business tools.

Export Formats

• JSON — Best for applications and data pipelines.
• CSV — Best for spreadsheet and ad hoc analysis.
• Excel — Best for operational reporting and sharing.
• XML — Useful for legacy system workflows.

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Frequently Asked Questions

How many jobs can I collect in one run?

You can collect up to your configured limits. The final volume depends on available listings for your keyword and location filters.

Can I run this scraper on a schedule?

Yes. You can schedule recurring runs in Apify to monitor new and changing listings over time.

How is duplicate data handled?

Output is normalized for cleaner datasets and reduced duplicate records, making reporting easier.

What if some fields are missing?

Some listings may not provide every field. Missing values depend on what is available in each source listing.

Can I export results to spreadsheets or BI tools?

Yes. You can export results as JSON, CSV, Excel, or XML and connect them to your reporting stack.

Is this useful for recruiting teams?

Yes. It supports hiring intelligence, market mapping, and targeted outreach planning.

Can I filter by location and keyword together?

Yes. Combine both inputs to narrow results to the most relevant opportunities.

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Support

For issues or feature requests, use the Apify Console actor page.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

This actor is designed for legitimate data collection workflows. You are responsible for using it in compliance with applicable laws, platform terms, and data usage policies. Collect and process data responsibly.