# eFinancialCareers Scraper (`unfenced-group/efinancialcareers-scraper`) Actor Scrape eFinancialCareers for finance & banking jobs worldwide. Extract salary, sectors, work arrangement and full descriptions across 40+ countries. No API key required. - **URL**: https://apify.com/unfenced-group/efinancialcareers-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Developer tools, Jobs, Automation - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 Scraper Apify actor that scrapes finance and fintech job listings from [eFinancialCareers](https://www.efinancialcareers.com) across **19 global markets**. ### Features - **19 markets** — US, UK, HK, SG, AE (Dubai), DE, FR, CH, AU, CA, JP, LU, NL, BE, IE, SE, NO, IN, ZA - **schema.org/JobPosting JSON-LD** extraction (preferred over DOM) - **Finance-specific fields** — licensing requirements (Series 7, CFA, FRM, CAIA …), desk classification (front/middle/back office), AUM ranges - **Cross-run deduplication** via KeyValueStore with 90-day TTL - **Residential proxy** support (strongly recommended) - Full description in HTML, plain text, and Markdown ### Input | Field | Type | Required | Default | Description | |---|---|---|---|---| | `maxResults` | integer | ✅ | — | Max jobs to scrape | | `skipReposts` | boolean | ✅ | `true` | Skip previously seen jobs | | `markets` | string[] | | `["US","UK","HK","SG","AE"]` | Market codes to scrape | | `searchQuery` | string | | `""` | Optional keyword filter | | `proxyConfiguration` | object | | RESIDENTIAL | Apify proxy config | #### Example input ```json { "maxResults": 500, "skipReposts": true, "markets": ["US", "UK", "HK", "SG", "AE"], "searchQuery": "quantitative analyst", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` #### 💰 Structured salary data — machine-ready Salary is returned as split numeric fields. No regex required on your end: | Field | Type | Example | |-------|------|---------| | `salaryMin` | number | null | `3500` | | `salaryMax` | number | null | `5000` | | `salaryCurrency` | string | null | `"EUR"` | Most competing scrapers return salary as a raw string (e.g., `"€3,500 – €5,000"`), leaving the parsing to you. This scraper delivers numeric min/max fields directly — ready for `WHERE salaryMin > 50000` queries or salary distribution analysis. *** ### Output Each dataset item contains: | Field | Description | |---|---| | `id` | Unique job ID | | `url` | Canonical job URL | | `title` | Job title | | `company` | Hiring company | | `location` | City / region | | `salary` | Salary range (if published) | | `description` | Full description HTML | | `descriptionText` | Plain-text description | | `descriptionMarkdown` | Markdown description | | `publishDateISO` | ISO 8601 publish date | | `contentHash` | 16-char MD5 of url+date | | `source` | e.g. `efinancialcareers_us` | | `scrapedAt` | ISO 8601 scrape timestamp | | `isRepost` | Was this job seen before? | | `originalPublishDate` | First seen publish date | | `originalUrl` | First seen URL | | `marketCode` | e.g. `US`, `HK`, `SG` | | `employmentType` | e.g. `FULL_TIME` | | `industry` | Sector from JSON-LD | | `licensingRequirements` | `["CFA","Series 7",…]` | | `deskClassification` | `front_office` / `middle_office` / `back_office` | | `aumRanges` | AUM figures from description | ### Supported Markets | Code | Domain | |---|---| | US | efinancialcareers.com | | UK | efinancialcareers.co.uk | | HK | efinancialcareers.hk | | SG | efinancialcareers.sg | | AE | efinancialcareers.ae | | DE | efinancialcareers.de | | FR | efinancialcareers.fr | | CH | efinancialcareers.ch | | AU | efinancialcareers.com.au | | CA | efinancialcareers.ca | | JP | efinancialcareers.jp | | LU | efinancialcareers.lu | | NL | efinancialcareers.nl | | BE | efinancialcareers.be | | IE | efinancialcareers.ie | | SE | efinancialcareers.se | | NO | efinancialcareers.no | | IN | efinancialcareers.in | | ZA | efinancialcareers.co.za | ### Technical Notes - Uses **Playwright (Chromium)** — headless browser required due to client-side rendering and bot-detection. - Residential proxies are required for production use. - Job deduplication KVS: `efinancialcareers-scraper-job-dedup` (90-day TTL). - All HTTP calls are wrapped in `withRetry()` with exponential backoff; 429/503 errors get a 3× longer wait. # Actor input Schema ## `maxResults` (type: `integer`): Maximum number of job listings to scrape across all selected markets. Actual count may be slightly lower if reposts are skipped. ## `skipReposts` (type: `boolean`): Skip jobs that have already been seen within the 90-day deduplication window. Set to false to save all jobs including previously scraped ones. ## `markets` (type: `array`): List of eFinancialCareers market codes to scrape. Supported values: US, UK, HK, SG, AE (Dubai), DE, FR, CH, AU, CA, JP, LU, NL, BE, IE, SE, NO, IN, ZA. ## `searchQuery` (type: `string`): Optional keyword query to filter job listings (e.g. 'quantitative analyst', 'risk manager', 'CFA'). Leave empty to scrape all available jobs. ## `proxyConfiguration` (type: `object`): Apify proxy settings. Residential proxies (RESIDENTIAL group) are strongly recommended to avoid bot detection on eFinancialCareers. ## Actor input object example ```json { "skipReposts": true, "markets": [ "US", "UK", "HK", "SG", "AE" ], "searchQuery": "", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description ## `runSummary` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("unfenced-group/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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("unfenced-group/efinancialcareers-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call unfenced-group/efinancialcareers-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/efinancialcareers-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "eFinancialCareers Scraper", "description": "Scrape eFinancialCareers for finance & banking jobs worldwide. Extract salary, sectors, work arrangement and full descriptions across 40+ countries. No API key required.", "version": "0.1", "x-build-id": "QfbJTdXjCRhjLkUk1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~efinancialcareers-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-efinancialcareers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~efinancialcareers-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-efinancialcareers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~efinancialcareers-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-efinancialcareers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "maxResults", "skipReposts" ], "properties": { "maxResults": { "title": "Max Results", "minimum": 1, "type": "integer", "description": "Maximum number of job listings to scrape across all selected markets. Actual count may be slightly lower if reposts are skipped." }, "skipReposts": { "title": "Skip Reposts", "type": "boolean", "description": "Skip jobs that have already been seen within the 90-day deduplication window. Set to false to save all jobs including previously scraped ones.", "default": true }, "markets": { "title": "Markets", "type": "array", "description": "List of eFinancialCareers market codes to scrape. Supported values: US, UK, HK, SG, AE (Dubai), DE, FR, CH, AU, CA, JP, LU, NL, BE, IE, SE, NO, IN, ZA.", "default": [ "US", "UK", "HK", "SG", "AE" ], "items": { "type": "string" } }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Optional keyword query to filter job listings (e.g. 'quantitative analyst', 'risk manager', 'CFA'). Leave empty to scrape all available jobs.", "default": "" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy settings. Residential proxies (RESIDENTIAL group) are strongly recommended to avoid bot detection on eFinancialCareers.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```