# eFinancialCareers Jobs Scraper - Low-costπŸ’²πŸ”₯πŸŒπŸ’Ό (`delectable_incubator/efinancialcareers-jobs-scraper-low-cost`) Actor πŸ” Easily scrape jobs from eFinancialCareers. Extract job titles, companies, locations, salaries, job types, work modes, posting dates, descriptions, application URLs & more. Perfect for finance recruitment, HR analytics, fintech hiring, job market research and talent intelligence. - **URL**: https://apify.com/delectable\_incubator/efinancialcareers-jobs-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. - **AI agents and MCP clients** β€” the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** β€” [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** β€” the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** β€” the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** β€” the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README

eFinancialCareers Jobs Scraper

*** ## πŸŒπŸ’ΌπŸ“Š eFinancialCareers Jobs Scraper | Bulk Job Scraper | Apify Actor ### πŸš€ Extract eFinancialCareers Jobs Data in Seconds (No Code) The **eFinancialCareers Jobs Scraper (Apify Actor)** is a powerful, scalable and easy-to-use job scraping tool designed to extract structured job listings directly from **eFinancialCareers**. It allows you to scrape finance, banking, fintech, risk, compliance, investment, and technology jobs in bulk using multiple keywords, apply location and posting date filters, and export clean structured job data for recruitment, HR analytics, labor market research, salary benchmarking, job aggregation, AI datasets, and hiring intelligence. *** ### πŸ”₯ Why This eFinancialCareers Jobs Scraper? βœ” Powerful eFinancialCareers job scraper on Apify βœ” Supports **Bulk Keyword Scraping** βœ” Search multiple job keywords in a single run βœ” Supports worldwide location-based job searches βœ” Filter jobs by posting date βœ” Ideal for finance, banking, fintech, risk and technology roles βœ” Automatic pagination handling βœ” Extract salary information when available βœ” Extract job type and work mode βœ” Extract company name and logo βœ” Extract job URLs and job IDs βœ” Control maximum jobs collected per keyword βœ” Clean structured dataset output βœ” Perfect for recruiters and talent sourcing βœ” Ideal for labor market and salary analysis βœ” No coding required *** ### 🎯 What This Scraper Does (eFinancialCareers Job Data Extraction) This Apify Actor extracts structured job listings from eFinancialCareers search results. #### πŸ“Œ Core Features: βœ… Scrape eFinancialCareers job listings βœ… **Bulk keyword scraping support** βœ… Search multiple keywords in one run βœ… Finance and banking job searches βœ… Fintech and technology job searches βœ… Risk and compliance job searches βœ… Investment banking job searches βœ… Location-based filtering βœ… Worldwide job market coverage βœ… Posted date filtering βœ… Automatic pagination handling βœ… Extract job titles and company names βœ… Extract salary information when available βœ… Extract employment type βœ… Extract work mode βœ… Extract posting date βœ… Extract company logos βœ… Extract direct job URLs βœ… Extract unique job IDs βœ… Clean structured dataset output *** ### ⚑ Input Configuration (Simple & Powerful) #### πŸ”₯ BULK KEYWORD MODE πŸš€ Scrape multiple job keywords in a single run. ``` { "keywords": [ "data analyst", "investment banking", "risk manager", "financial analyst", "compliance officer", "quantitative analyst", "software engineer", "fintech", "credit analyst", "portfolio manager" ], "location": "London", "posted_date": "last-7-days", "max_items": 100 } ``` #### πŸ’‘ Example Bulk Keywords You can search multiple job profiles simultaneously: ``` data analyst investment banking risk manager financial analyst compliance officer quantitative analyst software engineer fintech credit analyst portfolio manager ``` The scraper automatically processes each keyword and collects matching job listings. *** ### 🌍 Location-Based Job Search Search for eFinancialCareers jobs by location. Examples: ``` London New York Singapore Hong Kong Dubai Paris Frankfurt Zurich Amsterdam ``` You can combine a location with multiple keywords to identify hiring trends across financial markets. *** ### πŸ“… Posted Date Filtering Filter job listings based on their publication date. Examples: ``` today last-3-days last-7-days ``` This helps focus your dataset on the most recent job opportunities. *** ### πŸ“Š Extracted Job Data (Structured Output) #### πŸ”Ή Job Overview | Field | Description | | ---------------- | ----------------------------- | | πŸ†” `jobId` | Unique job ID | | 🏷️ `jobTitle` | Job title | | 🏒 `companyName` | Hiring company name | | πŸ“ `location` | Job location | | πŸ’° `salary` | Salary range when available | | πŸ’Ό `jobType` | Employment type | | πŸ“… `postedDate` | Job posting date | | πŸ”— `jobUrl` | Direct job or application URL | *** #### πŸ”Ή Detailed Job Information | Field | Description | | ----------------- | ----------------------------- | | πŸ†” `jobId` | Unique job identifier | | 🏷️ `jobTitle` | Position title | | 🏒 `companyName` | Company name | | πŸ–ΌοΈ `companyLogo` | Company logo URL | | πŸ“ `location` | Job location | | πŸ’Ό `jobType` | Employment type | | 🏠 `workMode` | Onsite, Hybrid, or Remote | | πŸ’° `salary` | Salary range when available | | πŸ“… `postedDate` | Job posting date | | πŸ”— `jobUrl` | Direct job or application URL | *** ### πŸ“¦ Example Output ``` { "jobId": "12345678", "jobTitle": "Senior Data Analyst", "companyName": "Global Investment Bank", "location": "London, United Kingdom", "salary": "Competitive", "jobType": "Full-time", "workMode": "Hybrid", "postedDate": "3 days ago", "jobUrl": "https://www.efinancialcareers.com/job/12345678" } ``` *** ### πŸ’‘ Use Cases (High-Demand Job Data Research) This eFinancialCareers Jobs Scraper is useful for: πŸ’Ό Recruitment and talent sourcing 🎯 Financial industry hiring intelligence πŸ“Š Labor market analysis πŸ’° Salary benchmarking and compensation research πŸ“ˆ Hiring trends and financial industry research 🏒 Company hiring intelligence πŸ” Job market monitoring πŸ€– AI and NLP training datasets πŸ“¦ Job aggregation platforms ⚑ Bulk job data extraction *** ### πŸš€ Key Features (Apify SEO Optimized) ⚑ **Bulk keyword scraping support** 🌍 Worldwide location-based job searches πŸ’Ό Finance and banking job coverage 🏦 Investment banking job extraction πŸ’» Fintech and technology job searches πŸ›‘οΈ Risk and compliance job searches πŸ“… Posted date filtering πŸ“Œ Automatic pagination system 🎯 Maximum jobs control 🧠 Clean structured output 🏒 Company information extraction πŸ’° Salary data extraction when available 🏠 Work mode extraction πŸ”— Direct job URL extraction πŸ“Š Preconfigured dataset views πŸ’Ύ Export-ready datasets βš™οΈ Scalable cloud execution with Apify *** ### πŸ› οΈ How to Use #### 1️⃣ Deploy the Actor on Apify Run the **eFinancialCareers Jobs Scraper** from the Apify platform. #### 2️⃣ Add Multiple Job Keywords Use **Bulk Keyword Mode** to search for multiple job roles in a single run. Example: ``` { "keywords": [ "data analyst", "investment banking", "risk manager", "financial analyst" ], "location": "London", "posted_date": "last-7-days", "max_items": 100 } ``` #### 3️⃣ Set the Location Specify the location where you want to search for jobs. Example: ``` London ``` Other examples: ``` New York Singapore Paris Dubai Frankfurt Zurich ``` #### 4️⃣ Select the Posted Date Filter Choose the desired job freshness filter: ``` today last-3-days last-7-days ``` #### 5️⃣ Set the Maximum Number of Jobs Define the maximum number of jobs to collect. Example: ``` 100 ``` #### 6️⃣ Run the Scraper Launch the Actor and it will automatically process the provided keywords, apply the selected filters, paginate through search results, and collect structured job data. #### 7️⃣ Export Your Data Download your structured dataset in: - JSON - CSV - Excel XLSX - XML - HTML *** ### πŸ“Š Input Fields | Field | Type | Description | | ------------- | ------- | -------------------------------------- | | `keywords` | array | Multiple job search keywords to scrape | | `location` | string | Job search location | | `posted_date` | string | Job posting date filter | | `max_items` | integer | Maximum number of jobs to collect | *** ### πŸ“Š Preconfigured Dataset Views #### πŸ“‹ Overview View Quick overview of collected job listings. Includes: - Job ID - Job Title - Company Name - Location - Salary - Job Type - Posted Date - Job URL #### πŸ” Detailed Job Information Complete job and company information. Includes: - Job ID - Job Title - Company Name - Company Logo - Location - Job Type - Work Mode - Salary - Posted Date - Job URL #### πŸ’° Salary & Compensation View Designed for salary comparison and compensation research. Includes: - Job Title - Company Name - Location - Salary - Job Type - Posted Date - Job URL #### πŸ•’ Recently Posted Jobs View Focus on the latest job opportunities based on the selected posting date filter. #### 🏒 Companies Hiring View Identify companies actively hiring across finance, banking, fintech, risk, compliance, and technology roles. *** ### πŸ”₯ Why Use This eFinancialCareers Jobs Scraper? βœ” Search multiple job keywords in one run βœ” Save time with automated bulk keyword processing βœ” Monitor finance and banking job markets βœ” Track fintech and technology hiring trends βœ” Analyze job demand across locations βœ” Compare salary information when available βœ” Identify companies actively hiring βœ” Build structured labor market datasets βœ” Create AI and NLP-ready job datasets βœ” Automate recruitment data collection βœ” No coding required *** ### πŸ’Έ Pricing This scraper runs on a **pay-per-result pricing model**. You only pay for successfully extracted records. πŸ’³ **Price:** **$0.95 / 1,000 results** *** ### ❓ FAQ (SEO BOOST SECTION) #### Can I scrape multiple keywords at once? Yes. The scraper supports **Bulk Keyword Scraping**, allowing you to search multiple job keywords in a single run. #### Can I search for finance and banking jobs? Yes. You can use keywords such as: ``` investment banking financial analyst risk manager compliance officer portfolio manager ``` #### Can I search for technology jobs? Yes. You can use keywords such as: ``` data analyst software engineer data scientist fintech technology analyst ``` #### Can I filter jobs by location? Yes. Specify a location such as London, New York, Singapore, Paris, Dubai, Frankfurt, or other supported locations. #### Can I filter jobs by posting date? Yes. You can use posting date filters such as: ``` today last-3-days last-7-days ``` #### Does the scraper handle pagination? Yes. The Actor automatically handles pagination to collect available job listings from the search results. #### What job data can I extract? You can extract job IDs, job titles, company names, company logos, locations, salaries when available, job types, work modes, posting dates, and job URLs. #### Can I export the results? Yes. The extracted dataset can be exported in JSON, CSV, Excel XLSX, XML, and HTML formats. #### Is coding required? No. The eFinancialCareers Jobs Scraper runs as a no-code Apify Actor. *** ### 🌍 PrimeScrape Job Intelligence Ecosystem The **PrimeScrape Job Intelligence Suite** is built for large-scale job data extraction, recruitment automation, labor market research, and hiring intelligence. πŸ’Ό Job data extraction 🎯 Recruitment and talent sourcing 🏒 Company hiring intelligence πŸ“Š Labor market analytics πŸ’° Salary benchmarking πŸ“ˆ Hiring trend analysis πŸ€– AI and NLP datasets βš™οΈ Recruitment automation pipelines 🌍 Global job market intelligence *** ### πŸ”— Related Actors (PrimeScrape Ecosystem) We are building a complete **PrimeScrape Data Intelligence Suite** for automated web data extraction, jobs, companies, e-commerce, automotive data, social media, AI datasets, and market intelligence. πŸ‘‰ More scraping tools coming soon πŸš€ *** ### ⚠️ Disclaimer This scraper is an independent automation and data extraction tool. It is **not affiliated with, endorsed by, or sponsored by eFinancialCareers**. Users are responsible for ensuring that their use of the scraper complies with all applicable laws, regulations, and the terms of service of the websites they access. *** ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star review if you like this scraper! πŸ“© Contact us for custom scraping solutions, feature requests, or enterprise scraping projects. πŸš€ **PrimeScrape β€” Data extraction and automation at scale.** # Actor input Schema ## `keywords` (type: `array`): List of keywords to search for; one independent search is run per keyword (e.g., 'data analyst', 'investment banking', 'risk manager'). Add multiple entries for a bulk run. ## `location` (type: `string`): Job location (e.g., 'London', 'New York', 'Singapore') ## `posted_date` (type: `string`): Filter jobs by posting date ## `max_items` (type: `integer`): Limits how many job listings will be scraped per keyword from eFinancialCareers ## Actor input object example ```json { "keywords": [ "marketing" ], "location": "London", "posted_date": "any", "max_items": 100 } ``` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "marketing" ], "location": "London", "posted_date": "any", "max_items": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/efinancialcareers-jobs-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": ["marketing"], "location": "London", "posted_date": "any", "max_items": 100, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/efinancialcareers-jobs-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "marketing" ], "location": "London", "posted_date": "any", "max_items": 100 }' | apify call delectable_incubator/efinancialcareers-jobs-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/efinancialcareers-jobs-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/acts/Yz3r5R7PUgfWu2vuY/builds/KFawBJyGo3ng2LMfr/openapi.json