eFinancialCareers Finance Jobs Scraper

What does eFinancialCareers Finance Jobs Scraper do?

eFinancialCareers Finance Jobs Scraper extracts structured job data from efinancialcareers.com — the leading global job board for finance, banking, and fintech professionals. Outputs include salary ranges, sector/sub-sector classification, work arrangement (remote/hybrid/on-site), location (city, state, country), company branding, and full descriptions. Covers 20+ country markets via a single input (countryCode2), returns up to 100 records per page, and supports incremental change tracking via stateKey.

Key features

• Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records.
• Compact mode — AI-agent and MCP-friendly payloads with core fields only.

What data can you extract from efinancialcareers.com?

Each result includes Core listing fields (jobId, jobKey, jobIdNumeric, title, normalizedTitle, summary, clientBrandId, and clientBrandName, and more), detail fields when enrichment is enabled (description, descriptionText, descriptionHtml, descriptionMarkdown, and detailFetched), contact and apply information (applyUrl), and company metadata (company, fullCompanyName, companyLogo, and companyProfileImage). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Free-text keyword search (e.g. 'python', 'investment banking', 'quant'). Leave empty to return all jobs for the selected country.
• countryCode2 — ISO-2 country code. Determines which country's job inventory is searched. (default: "US")
• culture — Locale code for the response (e.g. 'us', 'gb', 'fr', 'de'). (default: "us")
• currencyCode — Currency for salary fields. (default: "USD")
• maxResults — Maximum total results to return. 0 = unlimited (up to the full country inventory). (default: 100)
• pageSize — Records per request batch. 100 is the tested sweet spot; up to 500 is supported but may be slower. (default: 100)
• includeRemote — Include remote-friendly postings in results. (default: true)
• includeUnspecifiedSalary — Include jobs that do not disclose a salary range. (default: true)
• descriptionMaxLength — Truncate description to N characters. 0 = no truncation. (default: 0)
• compact — Return only the core set of fields (for AI-agent/MCP workflows). (default: false)
• incrementalMode — Compare against previous run state and emit only NEW / UPDATED / EXPIRED records. (default: false)
• stateKey — Stable identifier that pairs runs together (e.g. 'us-python-daily'). Required when incrementalMode is enabled.
• ...and 3 more parameters

Input examples

Keyword search in a specific country — The main search flow: keyword + ISO-2 country code.

→ Returns matching jobs from the selected country's inventory. All standard fields populated.

{
  "query": "software engineer",
  "countryCode2": "US",
  "maxResults": 50
}

Browse all jobs in a country — Leave query empty to return the full country inventory (no keyword filter).

→ Useful for market-wide extraction. Pair with maxResults: 0 for unlimited.

{
  "query": "",
  "countryCode2": "GB",
  "currencyCode": "GBP",
  "maxResults": 500
}

Multi-market search — Supported countries: US, GB, FR, DE, CH, SG, HK, AU, LU, NL, IE, BE, IT, ES, CA, AE, SA, ZA, JP, IN. Match culture and currencyCode to the market.

{
  "query": "quant",
  "countryCode2": "SG",
  "culture": "sg",
  "currencyCode": "SGD",
  "maxResults": 100
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "investment banking",
  "countryCode2": "US",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "us-ib-daily"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "python",
  "countryCode2": "US",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "18a6acf63d07689751d6f899dd368b91fad11b217a7a88c1a1fa16ff0f2849f8",
  "jobKey": "0oyFfx2QuCommC71",
  "jobIdNumeric": "24152384",
  "title": "Director of Finance",
  "normalizedTitle": null,
  "summary": "*Director of Finance role with a publicly traded company* I am currently partnered with a globally renowned company in the Electronics industry looking to bring on a Director of Finance to their team....",
  "description": "Director of Finance Responsibilities: Direct the business unit's planning and forecasting cycles, ensuring projections are reliable, aligned, and useful for leadership decision‑making. Steer critical...",
  "descriptionText": "Director of Finance Responsibilities: Direct the business unit's planning and forecasting cycles, ensuring projections are reliable, aligned, and useful for leadership decision‑making. Steer critical...",
  "descriptionHtml": "Director of Finance Responsibilities: Direct the business unit's planning and forecasting cycles, ensuring projections are reliable, aligned, and useful for leadership decision‑making. Steer critical...",
  "descriptionMarkdown": "Director of Finance Responsibilities: Direct the business unit's planning and forecasting cycles, ensuring projections are reliable, aligned, and useful for leadership decision‑making. Steer critical...",
  "company": "Selby Jennings",
  "fullCompanyName": "Phaidon international",
  "clientBrandId": "16430",
  "clientBrandName": "Selby Jennings",
  "companyLogo": "https://www.efinancialcareers.com/logo/2ba2fb3e-95f2-4584-9e45-801b1480f1d0.png",
  "jobAdvertLogoUrl": "https://www.efinancialcareers.com/logo/2ba2fb3e-95f2-4584-9e45-801b1480f1d0.png",
  "companyProfileImage": "https://cdn.filestackcontent.com/ODVKPsoFSwWEBSelzaam",
  "companyCoverImage": "https://cdn.filestackcontent.com/kLRRibqQShdamRwyTwYf",
  "location": "Princeton, United States",
  "locationCity": "Princeton",
  "locationState": "New Jersey",
  "locationCountry": "United States",
  "locationCountryCode": null,
  "locationLat": null,
  "locationLong": null
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape efinancialcareers.com

1. Go to eFinancialCareers Finance Jobs Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from efinancialcareers.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape efinancialcareers.com?

eFinancialCareers Finance Jobs Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.0015 per job record

Example costs:

• 10 results: $0.03
• 100 results: $0.16
• 500 results: $0.76

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.39	$0.03	$0.36 (93%)	$0.86
15% — moderate broad query	$0.39	$0.07	$0.32 (83%)	$1.99
30% — high-volume aggregator	$0.39	$0.12	$0.26 (68%)	$3.67

Full re-scrape monthly cost at daily polling: $11.55. First month with incremental costs $1.22 / $2.31 / $3.94 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from efinancialcareers.com?

The number of results depends on the search query and available listings on efinancialcareers.com. Use the maxResults parameter to control how many results are returned per run.

Does eFinancialCareers Finance Jobs Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate eFinancialCareers Finance Jobs Scraper with other apps?

Yes. eFinancialCareers Finance Jobs Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use eFinancialCareers Finance Jobs Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use eFinancialCareers Finance Jobs Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape efinancialcareers.com?

This actor extracts publicly available data from efinancialcareers.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.