# 💼 eFinancialCareers Jobs Scraper (`hipersoft/efinancialcareers-scraper`) Actor

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.

- **URL**: https://apify.com/hipersoft/efinancialcareers-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.0015 / job scraped

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## eFinancialCareers Jobs Scraper — Titles, Companies, Salaries & Bulk Export

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

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

### Input

```json
{
  "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:

```json
{
  "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.

# Actor input Schema

## `query` (type: `string`):

Finance job keywords to search for (e.g. "developer", "investment banking analyst", "quantitative researcher", "compliance"). Combine with a Location below to narrow results.

## `location` (type: `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` (type: `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` (type: `integer`):

Maximum number of jobs to collect across all searches (0 = no limit; collect everything the searches return).

## Actor input object example

```json
{
  "query": "developer",
  "location": "",
  "maxItems": 100
}
```

# Actor output Schema

## `results` (type: `string`):

The results as dataset items.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "developer"
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/efinancialcareers-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 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);
});

// 📚 Want to learn more 📖? Go to → 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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "query": "developer" }

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/efinancialcareers-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "developer"
}' |
apify call hipersoft/efinancialcareers-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/efinancialcareers-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/bR3mv67rGOwpSMsr2/builds/VYYRcd3XwX9JmdAaM/openapi.json