eFinancialCareers Jobs Scraper

Scrapes job listings from eFinancialCareers.com, extracting structured data for finance, banking, and investment roles.

Overview

This actor collects job postings from eFinancialCareers. It can search by keyword and location, handling pagination automatically. The output is clean JSON containing job titles, companies, locations, salaries, descriptions, and metadata.

Key Features

• Comprehensive Data: Extracts job titles, companies, locations, salaries, job types, posting dates, and full descriptions (HTML and plain text).
• Flexible Search: Search by keyword and location, or start from specific URLs.
• Automatic Pagination: Scrapes multiple pages of results up to a defined limit.
• Reliable Operation: Supports proxy configuration and manages sessions for performance.
• Structured Output: Returns ready-to-use JSON data.

How to Use

Configure the actor with input parameters. The most common method is a basic keyword and location search.

Basic Input Parameters

Advanced Options

• collectDetails (Boolean): Visit each job's detail page for the full description. Default: true.
• startUrl / startUrls (String/Array): Use a specific eFinancialCareers search URL or list of URLs instead of a keyword search.
• proxyConfiguration (Object): Proxy settings for the run.

Example: Basic Search

{
  "keyword": "Investment Banking",
  "location": "London",
  "results_wanted": 50
}

Output

The actor outputs an array of job objects as JSON. Each job includes the following fields:

{
  "job_id": "23360967",
  "title": "Senior Investment Analyst",
  "company": "Goldman Sachs",
  "location": "New York, United States",
  "job_type": "Permanent",
  "salary": "$150,000 - $200,000",
  "date_posted": "3 days ago",
  "description_html": "<p>Full job description...</p>",
  "description_text": "Plain text version of the job description...",
  "url": "https://www.efinancialcareers.com/jobs-United_States-New_York-Senior_Investment_Analyst.id23360967"
}

Field Descriptions:
* job_id: Unique identifier from eFinancialCareers.
* title, company, location: Core job details.
* job_type: Employment type (Permanent, Contract, etc.).
* salary: Compensation information if listed.
* date_posted: Relative posting time.
* description_html / description_text: Full job description in both formats.
* url: Direct link to the original posting.

Use Cases

• Aggregating finance jobs for recruitment agencies or job boards.
• Market research on salary trends and hiring demand.
• HR analytics to track posting patterns.
• Populating databases for career platforms.