# eFinancialCareers Jobs Scraper - Jobs & Companies (`scrapingmonkey/efinancialcareers-scraper`) Actor

Scrape eFinancialCareers job and company searches, vacancy descriptions and employer profiles for banking and finance recruitment. Choose the collection mode and set a result limit for each input.

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

## Pricing

from $1.00 / 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.
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

Collect public jobs and employer profiles with **eFinancialCareers Scraper**. Compare finance roles by sector, location, work arrangement and advertised pay while researching the companies recruiting for them. Choose the records you need and export them to CSV, JSON or Excel without supplying a site login.

Use the results for financial-services hiring intelligence. Submit matching public inputs in one run, retain the original record links, and send the structured output to your recruitment spreadsheet, reporting dashboard or research database.

| At a glance | Details |
|---|---|
| 📥 Input | Search fields or links to the selected items; see the examples below |
| 📤 Output | One row per vacancy / company |
| 📄 Pagination | Automatic up to `maxResults` for each input, when more results are available |
| 🔐 Login required | No |
| ⚡ Processing | Multiple inputs per run with automatic retries for temporary errors |
| 💾 Delivery | One complete Apify dataset table; CSV, JSON and Excel export |

### What the eFinancialCareers scraper collects 💼

Collect jobs and employer profiles. Compare finance roles by sector, location, work arrangement and advertised pay while researching the companies recruiting for them.

| Collection | What you receive |
|---|---|
| eFinancialCareers jobs scraper | Records containing job titles, employers, locations, published pay, descriptions, ready for vacancy discovery and hiring-demand research. |
| eFinancialCareers company profile scraper | Records containing industries, company descriptions, benefits, company size, ready for employer qualification and recruitment account enrichment. |
| eFinancialCareers company search scraper | Records containing industries, company descriptions, benefits, company size, ready for employer prospecting and recruitment account research. |
| eFinancialCareers job details scraper | Records containing job titles, employers, locations, published pay, descriptions, ready for vacancy enrichment and candidate-requirement analysis. |

Data can include:

- Record identity: Record identifiers, public links and the published job title or company name.
- Pay and compensation: Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record.
- Employer information: Employer names, identifiers and profile links, with the company information attached to the public record.
- Location and workplace: Published workplace and location information and geographic coordinates.
- Descriptions and requirements: Published job or company descriptions, HTML and readable text where supplied and listing summaries.
- Employment and benefits: Employment and contract types and published benefits.
- Dates and hiring activity: Publication and update information and closing dates.
- Company background: Industry and business classifications, workforce size and founding information.

### How to scrape eFinancialCareers 🚀

1. Choose **Job Search** in **What to collect**, or select another collection mode.
2. Fill in the search fields, or paste links to the items you want to collect.
3. Set the maximum results and any optional filters.
4. Start the Actor and review the collected rows.
5. Export the dataset or connect it to your application.

#### eFinancialCareers jobs scraper — input example

```json
{
  "mode": "job_search",
  "query": "software engineer",
  "maxResults": 10
}
```

`maxResults: 10` means up to 10 results for **each input**. It does not guarantee that the website has that many matches. You can set the limit as low as 1.

#### eFinancialCareers company profile scraper — input example

```json
{
  "mode": "company_details",
  "companyUrls": [
    "https://www.efinancialcareers.com/companies/ABC_arbitrage-iHXDjmLVvieekuBF"
  ],
  "maxResults": 10
}
```

#### eFinancialCareers company search scraper — input example

```json
{
  "mode": "company_search",
  "companyName": "Microsoft",
  "maxResults": 10
}
```

#### eFinancialCareers job details scraper — input example

```json
{
  "mode": "job_details",
  "jobUrls": [
    "https://www.efinancialcareers.com/jobs-USA-NY-Manhattan-VP_Product_Strategy__Management_AI.id24779716"
  ],
  "maxResults": 10
}
```

### eFinancialCareers data fields and complete output 📦

| Field group | Included data |
|---|---|
| Record identity | Record identifiers, public links and the published job title or company name. |
| Pay and compensation | Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record. |
| Employer information | Employer names, identifiers and profile links, with the company information attached to the public record. |
| Location and workplace | Published workplace and location information and geographic coordinates. |
| Descriptions and requirements | Published job or company descriptions, HTML and readable text where supplied and listing summaries. |
| Employment and benefits | Employment and contract types and published benefits. |
| Dates and hiring activity | Publication and update information and closing dates. |
| Company background | Industry and business classifications, workforce size and founding information. |

Each collected item is a separate row. `input` identifies the submitted value and `result_type` identifies the selected mode. All returned fields appear in one table; columns that do not apply to a mode can be empty.

A complete JSON result is shown for every collection mode below, in the same order as the input examples. Each example includes every field for its mode; text and lists are not shortened. Values are representative and can change.

#### eFinancialCareers jobs scraper — complete JSON result

```json
{
  "result_type": "job_search",
  "input": "python",
  "status": "success",
  "company_id": null,
  "city": "New York",
  "region": "New York",
  "country": "United States",
  "country_code": null,
  "job_id": "24697315",
  "source_id": "2qTTZ4yjoBwu231i",
  "title": "Software Engineer (Test) - Python/C++ | NYC / London- Award-Winning Global Market Maker",
  "job_url": "https://www.efinancialcareers.com/jobs-United_States-New_York-Software_Engineer_Test_-_PythonC__NYC__London-_Award-Winning_Global_Market_Maker.id24697315",
  "company_name": "Oxford Knight",
  "brand_id": "8318",
  "company_logo_url": "https://www.efinancialcareers.com/logo/a6120dc7-b77f-448a-ac56-0cf843b23724.png",
  "location": "New York, United States",
  "latitude": null,
  "longitude": null,
  "salary.display": "up to $300k base",
  "salary.minimum": 300000.0,
  "salary.maximum": 300000.0,
  "salary.currency": "USD",
  "employment_type": "Full time",
  "position_type": "Permanent",
  "work_arrangement": null,
  "summary": "Software Engineer (Test) - Python/C++ | NYC / London\nSalary: up to $300k base Locations: London, New York Summary Fantastic opportunity for a strong software engineer to gain experience in market-making at a globally successful firm. This role offers the opportunity to modernize the infrastructure underpinning the critical platform that powers the firm's client-facing businesses. This client platform supports connectivity, order management, and analytics across multiple asset classes, and yo",
  "description_html": null,
  "description_text": "Salary: up to $300k base Locations: London, New York Summary Fantastic opportunity for a strong software engineer to gain experience in market-making at a globally successful firm. This role offers the opportunity to modernize the infrastructure underpinning the critical platform that powers the firm's client-facing businesses. This client platform supports connectivity, order management, and analytics across multiple asset classes, and you'll contribute to its transformation by building Python-first frameworks and C++-adjacent hooks to verify distributed systems correctness, accelerate CI/CD, and protect latency-sensitive releases across equities (cash/options) and beyond. The successful candidate will be an outstanding communicator with a proven ownership mindset; comfortable debugging unfamiliar systems, writing documentation, and driving cross-team initiatives. Requirements Expert Python skills for production-grade automation Ability to read/modify C++ test code and hook Python harnesses into C++ components Strong Linux and networking fundamentals (TCP/UDP, sockets, pcap/Wireshark) CI/CD experience (Jenkins/GitHub Actions, Git, CMake); containerized, reproducible test environments Hands-on design of performance/reliability tests (latency, throughput, backpressure) and flaky-test triage Desirable Skills/Experience FIX engine experience (QuickFIX or proprietary), exchange simulators, OMS/EMS flows, DMA/algos, drop copy Observability for tests (Prometheus/Grafana/Jaeger/Tempo; log correlation) Data & infra: kdb+/q, Kafka, low-latency instrumentation NB: Please don't apply if you're a fresh graduate. Rewards and Incentives Hugely collaborative environment between teams, not siloed like other firms Competitive compensation: truly flat structure; feel valued for your input and be rewarded for great ideas Work with the latest technologies on complex problems Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you, or you would like to know more, please get in touch. Andy Stirling-Martin andy@oxfordknight.co.uk +44 (0)20 3137 9579 linkedin.com/in/andrew-stirling-martin-7664a946",
  "sectors": [
    "INFORMATION_TECHNOLOGY/ENGINEERING",
    "INFORMATION_SERVICES"
  ],
  "job_reference": null,
  "posted_at": "2026-09-20T10:00:00.350Z",
  "expires_at": "2027-02-27T23:45:00.000Z"
}
```

#### eFinancialCareers company profile scraper — complete JSON result

```json
{
  "result_type": "company_details",
  "input": "https://www.efinancialcareers.com/companies/ABC_arbitrage-iHXDjmLVvieekuBF",
  "status": "success",
  "profile_id": "iHXDjmLVvieekuBF",
  "company_id": "iHXDjmLVvieekuBF",
  "name": "ABC arbitrage",
  "company_url": "https://www.efinancialcareers.com/companies/ABC_arbitrage-iHXDjmLVvieekuBF",
  "company_type": "COMPANY",
  "industry": "Asset Management",
  "industry_id": "ASSET_MANAGEMENT",
  "city": "Paris",
  "region": "Ile-de-France",
  "country": "France",
  "country_code": "FR",
  "profile_image_url": "https://cdn.filestackcontent.com/K9hzLTdkS6IHa64XMYS7",
  "cover_image_url": "https://cdn.filestackcontent.com/cQD7RqeTxSl4PxYEB79A",
  "about_text": "Nous sommes des passionnés de technologie, nous construisons des systèmes et des stratégies de trading innovants depuis 1995, qui traitent sur toutes les classes d'actifs et sur l'ensemble des places financières mondiales.\n\nLe groupe (Paris, Dublin, Singapour) est coté sur Euronext Paris et cumule depuis sa création 100% de résultats positifs consécutifs dans des contextes de marchés changeants.\n\nNotre succès repose directement sur le talent de leurs collaborateurs : 100 personnes, de 12 nationalités différentes, âgées en moyenne de 35 ans et issues principalement de formation supérieure scientifique.\n\nNotre culture d'entreprise repose sur l'engagement, la collaboration, la responsabilité et l’innovation. Nous encourageons les nouvelles idées et donnent à tous les moyens de les développer dans un environnement agile et un cadre de travail agréable.\n\nChacun peut ainsi exprimer son talent ! Une entreprise à taille humaine et une hiérarchie peu marquée qui permettent à chacun de s’épanouir professionnellement.\n\nNous souhaitons rencontrer des collaborateurs passionnés, agiles dans un environnement technologique pointu et motivés par la découverte des marchés financiers.",
  "more_about_text": "Notre objectif principal est d'offrir une carrière épanouissante, nous avons aussi des avantages pour ça :\n\n> Au coeur de Paris\n> Accords d'entreprise favorisant le télétravail et la flexibilité\n> Accords d’intéressement et de participation aux résultats\n> Parrainage de leurs équipes sportives : football, basket-ball, squash, yoga, etc.\n> Forfait sport et loisirs\n> Fruits frais et fruits secs à disposition\n> Mutuelle santé pris en charge à 100%\n> Art dans les espaces ouverts à tous (œuvres in situ, expo photos)\n> Budget littérature\n> Afterworks\n> Week-end ski mémorables\n> Séminaires inoubliables (Islande, Ibiza, Venise, etc.)",
  "year_founded": 1995,
  "employees": 90,
  "average_age": 35.0,
  "benefits.name": [
    "flexible working hours",
    "work from home",
    "twenty five plus days holiday time",
    "paid maternity paternity leave",
    "health insurance",
    "pension plan",
    "bonus stock options",
    "regular salary review",
    "employee referral bonus",
    "life insurance",
    "training and development",
    "childcare scheme",
    "gym membership",
    "cycle to work scheme",
    "recognition program",
    "social events",
    "casual environment",
    "mental health support",
    "free snacks",
    "free coffee",
    "staff housing loan",
    "volunteering days",
    "employee wellness program",
    "mentor program",
    "diversity and inclusion goals",
    "innovative tech"
  ],
  "benefits.enabled": [
    true,
    true,
    false,
    true,
    true,
    false,
    true,
    false,
    true,
    false,
    false,
    true,
    false,
    false,
    false,
    true,
    true,
    false,
    true,
    false,
    false,
    false,
    false,
    false,
    false,
    false
  ],
  "gallery.title": [
    "Salle Néon",
    "Salle des marchés",
    "Salle Californium",
    "Weekend Ski",
    "Journée du pull de Noël",
    "Salle Cobalt",
    "Notre cafet'",
    "Salle Fluorine"
  ],
  "gallery.description": [
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null
  ],
  "gallery.image_url": [
    "https://cdn.filestackcontent.com/emxR8ljVQzKb2aaZ1ldG",
    "https://cdn.filestackcontent.com/G2CYpZoySRWQuaYofYee",
    "https://cdn.filestackcontent.com/uagq75AyQPWqpRjB5xxK",
    "https://cdn.filestackcontent.com/9oZO9xRURNaA3GHcT8hE",
    "https://cdn.filestackcontent.com/B5MkczdySJObqyx2DKip",
    "https://cdn.filestackcontent.com/s5wwDCYpTl9jl4MBxD9A",
    "https://cdn.filestackcontent.com/h1LqZPQSyeWdpFPHBBxQ",
    "https://cdn.filestackcontent.com/mqde9PrWSlSDT8FwqMnw"
  ],
  "updated_at": "2024-02-12T11:06:57.240Z"
}
```

#### eFinancialCareers company search scraper — complete JSON result

```json
{
  "result_type": "company_search",
  "input": "https://www.efinancialcareers.com/companies",
  "status": "success",
  "profile_id": "iHXDjmLVvieekuBF",
  "company_id": null,
  "name": "ABC arbitrage",
  "company_url": "https://www.efinancialcareers.com/companies/ABC_arbitrage-iHXDjmLVvieekuBF",
  "company_type": "COMPANY",
  "industry": "Asset Management",
  "industry_id": "ASSET_MANAGEMENT",
  "city": "Paris",
  "region": null,
  "country": null,
  "country_code": null,
  "profile_image_url": "https://cdn.filestackcontent.com/K9hzLTdkS6IHa64XMYS7",
  "cover_image_url": "https://cdn.filestackcontent.com/cQD7RqeTxSl4PxYEB79A",
  "about_text": null,
  "more_about_text": null,
  "year_founded": null,
  "employees": null,
  "average_age": null,
  "benefits.name": null,
  "benefits.enabled": null,
  "gallery.title": null,
  "gallery.description": null,
  "gallery.image_url": null,
  "updated_at": null
}
```

#### eFinancialCareers job details scraper — complete JSON result

```json
{
  "result_type": "job_details",
  "input": "24779716",
  "status": "success",
  "company_id": "69yV3C8gZeM7lSjF",
  "city": "Manhattan",
  "region": "NY",
  "country": "United States",
  "country_code": "US",
  "job_id": "24779716",
  "source_id": "2V14g1H1MKApa27v",
  "title": "VP, Product Strategy & Management (AI)",
  "job_url": "https://www.efinancialcareers.com/jobs-USA-NY-Manhattan-VP_Product_Strategy__Management_AI.id24779716",
  "company_name": "Selby Jennings",
  "brand_id": "gFoC84YeQVBYoC02",
  "company_logo_url": "https://www.efinancialcareers.com/logo/2ba2fb3e-95f2-4584-9e45-801b1480f1d0.png",
  "location": "Manhattan, United States",
  "latitude": 40.78343,
  "longitude": -73.96625,
  "salary.display": "Bonus + Equity",
  "salary.minimum": null,
  "salary.maximum": null,
  "salary.currency": null,
  "employment_type": "FULL_TIME",
  "position_type": "PERMANENT",
  "work_arrangement": "HYBRID",
  "summary": null,
  "description_html": "<p> </p> <br /> <br />Vice President, Product Management <br /> <br /> <br /> <br />Proxy Voting &amp; Investment Stewardship Solutions <br /> <br /> <p><strong>Location:</strong> New York, NY (Hybrid)</p> <br /> <br />About the Role <br /> <br /> <p>Our client, a leading provider of technology and infrastructure solutions to the global investment community, is seeking a Vice President of Product Management to lead the strategy and evolution of a market-leading proxy voting and investment stewardship platform used by institutional investors, asset managers, banks, broker-dealers, and corporate issuers.</p> <p>This role sits at the intersection of financial services, governance, and technology. The successful candidate will be responsible for shaping product strategy, driving innovation, and partnering with clients to solve increasingly complex stewardship, voting, and regulatory challenges. The position offers significant visibility with senior leadership and the opportunity to influence products that support some of the largest participants in the capital markets ecosystem.</p> <br /> <br />Key Responsibilities <br /> <br /> <ul> <li>Own product strategy, roadmap, and execution for a suite of proxy voting and investment stewardship solutions.</li> <li>Partner with engineering teams to define product requirements, prioritize enhancements, and deliver scalable technology solutions.</li> <li>Work directly with institutional clients to understand operational challenges, gather feedback, and identify opportunities for product innovation.</li> <li>Drive adoption and commercial success by ensuring products align with evolving client needs, market trends, and regulatory developments.</li> <li>Translate complex governance, stewardship, and proxy voting workflows into intuitive and scalable product capabilities.</li> <li>Collaborate with sales, client service, operations, legal, and technology teams throughout the product lifecycle.</li> <li>Evaluate opportunities to leverage AI, automation, and emerging technologies to improve client outcomes and operational efficiency.</li> <li>Present product strategy, priorities, and business cases to executive stakeholders and senior client audiences.</li> <li>Lead and mentor a small team while fostering a culture of innovation, accountability, and client focus.</li> </ul> <br /> <br />Desired Background <br /> <br /> <ul> <li>10+ years of product management experience within financial services, fintech, market infrastructure, governance technology, or related sectors.</li> <li>Deep understanding of proxy voting, shareholder governance, investment stewardship, corporate actions, or institutional investor workflows.</li> <li>Experience working with institutional investors, asset managers, custodians, broker-dealers, transfer agents, or governance service providers.</li> <li>Track record of managing complex enterprise platforms and delivering measurable business outcomes.</li> <li>Strong ability to communicate effectively with both technical teams and executive stakeholders.</li> <li>Experience building product roadmaps, defining requirements, and working within Agile development environments.</li> <li>Intellectual curiosity around AI and emerging technologies and their application to financial services products.</li> <li>Executive presence and the ability to influence senior internal and external stakeholders.</li> </ul> <br /> <br />Ideal Backgrounds <br /> <br /> <p>Candidates may come from:</p> <ul> <li>AI Product experience</li> <li>Institutional fintech platforms</li> <li>Market infrastructure providers</li> <li>Custody or securities services organizations</li> <li>Product leadership roles supporting institutional investors and asset managers</li> </ul> <p>This is a unique opportunity to shape the future of investor governance technology while leading products that play a critical role in shareholder engagement and investment stewardship across global capital markets.</p> <br /> <p> </p> <img src=\"https://counter.adcourier.com/TWFsYWluYS5HYWxpYy44NTgxOS5lZmlAc2VsYnkuYXBsaXRyYWsuY29t.gif\" />",
  "description_text": "Vice President, Product Management\nProxy Voting & Investment Stewardship Solutions\nLocation: New York, NY (Hybrid)\nAbout the Role\nOur client, a leading provider of technology and infrastructure solutions to the global investment community, is seeking a Vice President of Product Management to lead the strategy and evolution of a market-leading proxy voting and investment stewardship platform used by institutional investors, asset managers, banks, broker-dealers, and corporate issuers.\nThis role sits at the intersection of financial services, governance, and technology. The successful candidate will be responsible for shaping product strategy, driving innovation, and partnering with clients to solve increasingly complex stewardship, voting, and regulatory challenges. The position offers significant visibility with senior leadership and the opportunity to influence products that support some of the largest participants in the capital markets ecosystem.\nKey Responsibilities\nOwn product strategy, roadmap, and execution for a suite of proxy voting and investment stewardship solutions.\nPartner with engineering teams to define product requirements, prioritize enhancements, and deliver scalable technology solutions.\nWork directly with institutional clients to understand operational challenges, gather feedback, and identify opportunities for product innovation.\nDrive adoption and commercial success by ensuring products align with evolving client needs, market trends, and regulatory developments.\nTranslate complex governance, stewardship, and proxy voting workflows into intuitive and scalable product capabilities.\nCollaborate with sales, client service, operations, legal, and technology teams throughout the product lifecycle.\nEvaluate opportunities to leverage AI, automation, and emerging technologies to improve client outcomes and operational efficiency.\nPresent product strategy, priorities, and business cases to executive stakeholders and senior client audiences.\nLead and mentor a small team while fostering a culture of innovation, accountability, and client focus.\nDesired Background\n10+ years of product management experience within financial services, fintech, market infrastructure, governance technology, or related sectors.\nDeep understanding of proxy voting, shareholder governance, investment stewardship, corporate actions, or institutional investor workflows.\nExperience working with institutional investors, asset managers, custodians, broker-dealers, transfer agents, or governance service providers.\nTrack record of managing complex enterprise platforms and delivering measurable business outcomes.\nStrong ability to communicate effectively with both technical teams and executive stakeholders.\nExperience building product roadmaps, defining requirements, and working within Agile development environments.\nIntellectual curiosity around AI and emerging technologies and their application to financial services products.\nExecutive presence and the ability to influence senior internal and external stakeholders.\nIdeal Backgrounds\nCandidates may come from:\nAI Product experience\nInstitutional fintech platforms\nMarket infrastructure providers\nCustody or securities services organizations\nProduct leadership roles supporting institutional investors and asset managers\nThis is a unique opportunity to shape the future of investor governance technology while leading products that play a critical role in shareholder engagement and investment stewardship across global capital markets.",
  "sectors": [
    "FINTECH__FINANCIAL_SERVICES_AND_AUTOMATION"
  ],
  "job_reference": "PR/605357",
  "posted_at": "2026-09-14T15:37:49Z",
  "expires_at": "2026-10-14T23:45:00Z"
}
```

Images, tags and other lists stay with their parent result instead of creating extra rows. Invalid or unavailable inputs, inputs with no results, and requests that fail after all retries produce a row with `status: failed`. At most one failed row is saved per input; it includes `error_code` and `error_message` explaining the outcome. A normal end of pagination after collected results does not add a failed row.

### Input requirements and collection settings ⚙️

| Setting | What to enter |
|---|---|
| **What to collect** (`mode`) | Choose the information to collect. |
| **Maximum results per search or link** (`maxResults`) | Collect up to this many results for each search or link. Minimum: 1. |
| **Job title or keywords** (`query`) | Words to search for in job listings. Leave empty to include all jobs. For Job Search. |
| **Company page links** (`companyUrls`) | Paste one link per line. Example: https://www.efinancialcareers.com/companies/ABC_arbitrage-iHXDjmLVvieekuBF For Company Details. |
| **Company name** (`companyName`) | Filter the directory by company name. Leave empty for all companies. For Company Directory. |
| **Job listing links** (`jobUrls`) | Paste one link per line. Example: https://www.efinancialcareers.com/jobs-USA-NY-Manhattan-VP_Product_Strategy__Management_AI.id24779716 For Job Details. |

| Collection mode | Fields to use |
|---|---|
| Company Details | **Company page links** |
| Company Directory | **Company name** |
| Job Details | **Job listing links** |
| Job Search | **Job title or keywords** |

The result limit applies separately to each search or supplied link. Collection ends earlier when no more matching results are available.

### eFinancialCareers scraping use cases 🎯

#### Hiring activity monitoring

Run repeat collections of eFinancialCareers listings and compare vacancy titles and original links over time to identify newly advertised roles and changes in hiring activity.

#### Vacancy enrichment

Turn known eFinancialCareers job links or supported identifiers into structured vacancy records for recruitment databases, job comparison tools and candidate research.

#### Advertised compensation research

Compare the compensation published in eFinancialCareers records. Keep the original salary text, units and available pay-period context when preparing recruitment or labour-market reports.

#### Employer qualification

Research organisations listed on eFinancialCareers before adding them to recruitment or partnership lists. Retain their published identity, company description and available hiring context with the original profile link.

#### Working-condition comparison

Compare the contract, schedule or benefit information published in eFinancialCareers records when researching how employers present their opportunities.

### Pricing and saved-result behavior 💰

See the Actor's **Pricing** tab for the active pricing model and current rate. Store settings may change, so this README does not claim a fixed cost.

Under dataset-item pricing:

- Each collected item saved in the dataset is one result.
- Images, tags and other values attached to that item do not create additional rows.
- Automatic retry attempts do not create extra dataset rows.
- A saved `failed` row is also one billable dataset item, including invalid inputs, unavailable items, no results, or exhausted retries. At most one failed row is saved per input, including when some results were already collected.
- `maxResults` caps all saved rows for each input, including its failed row. Repeated copies of the same input are processed once. More inputs or a higher limit can produce more saved results.

### eFinancialCareers scraper API and integrations 🔌

Replace `$ACTOR_ID` with the ID shown in the Actor API tab and `$APIFY_TOKEN` with your token.

```bash
curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"job_search","query":"software engineer","maxResults":10}'
```

Use schedules for recurring collection, webhooks for completion notifications, and Apify integrations for Google Sheets, Make, Zapier, cloud storage, a CRM or your own application.

### Reliability, retries, and public-data limits ⚠️

Temporary connection errors, timeouts and access restrictions are retried automatically, up to five attempts. Invalid inputs save a failed row without an HTTP request; confirmed unavailable items save a failed row without unnecessary retries. Exhausted retries also save a failed row. Results already collected remain available if a later request fails, and normal pagination completion adds no error row. Collection also stops after two consecutive fully processed pages add no new results, even if the website provides another cursor. Required detail lookups are completed before checking a page; new results reset the counter, and independent reply branches are checked separately. Failures while initializing the Actor, saving data or scheduling requests stop the run instead of being reported as a failed website result.

The supported site is eFinancialCareers.com. Job and company searches expose keyword filtering only.

eFinancialCareers controls which information is publicly available. Removed, private or restricted items may be unavailable, and optional values can be null or empty. A run can still fail if the results cannot be saved.

### Frequently asked questions ❓

#### Does it require an account on eFinancialCareers?

No. You do not need to provide an account, password or login cookies. Only publicly available information is collected.

#### How does maxResults work?

It limits the number of saved results separately for every input. The minimum is 1. With maxResults set to 10, each input returns at most 10 available results. A detail lookup normally returns one record per input.

#### Which inputs and filters does this Actor support?

The supported site is eFinancialCareers.com. Job and company searches expose keyword filtering only.

#### When should I use Job Details instead of Job Search?

Use search to discover eFinancialCareers vacancies and their listing fields. Use details for a known vacancy when you need the additional description and requirements that the advertisement publishes.

#### Why are some fields empty?

The website may not publish that value, or the field may belong to a different collection mode. Missing values remain null or empty instead of being guessed.

#### Can I export the results to a spreadsheet?

Yes. Download CSV, Excel or JSON from the Apify dataset. All returned fields are included in the same results table.

### Support and responsible use 🛟

For a reproducible issue, share the run ID, selected mode, result limit and a safe public example through the support channel. Never disclose access tokens, passwords or proxy credentials.

Use public eFinancialCareers information lawfully and responsibly. Follow applicable privacy, copyright, data-protection, contractual and platform requirements when storing, analyzing or redistributing results.

# Actor input Schema

## `mode` (type: `string`):

Choose the information to collect.

## `maxResults` (type: `integer`):

Collect up to this many results for each search or link. Minimum: 1.

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

Words to search for in job listings. Leave empty to include all jobs. For Job Search.

## `companyUrls` (type: `array`):

Paste one link per line. Example: https://www.efinancialcareers.com/companies/ABC_arbitrage-iHXDjmLVvieekuBF For Company Details.

## `companyName` (type: `string`):

Filter the directory by company name. Leave empty for all companies. For Company Directory.

## `jobUrls` (type: `array`):

Paste one link per line. Example: https://www.efinancialcareers.com/jobs-USA-NY-Manhattan-VP_Product_Strategy__Management_AI.id24779716 For Job Details.

## Actor input object example

```json
{
  "mode": "job_search",
  "maxResults": 10,
  "query": "software engineer",
  "companyUrls": [
    "https://www.efinancialcareers.com/companies/ABC_arbitrage-iHXDjmLVvieekuBF"
  ],
  "jobUrls": [
    "https://www.efinancialcareers.com/jobs-USA-NY-Manhattan-VP_Product_Strategy__Management_AI.id24779716"
  ]
}
```

# Actor output Schema

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

Collected entities and failed input outcomes, with all available fields and error explanations in one dataset.

# 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 = {
    "mode": "job_search",
    "maxResults": 10,
    "query": "software engineer",
    "companyUrls": [
        "https://www.efinancialcareers.com/companies/ABC_arbitrage-iHXDjmLVvieekuBF"
    ],
    "jobUrls": [
        "https://www.efinancialcareers.com/jobs-USA-NY-Manhattan-VP_Product_Strategy__Management_AI.id24779716"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapingmonkey/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 = {
    "mode": "job_search",
    "maxResults": 10,
    "query": "software engineer",
    "companyUrls": ["https://www.efinancialcareers.com/companies/ABC_arbitrage-iHXDjmLVvieekuBF"],
    "jobUrls": ["https://www.efinancialcareers.com/jobs-USA-NY-Manhattan-VP_Product_Strategy__Management_AI.id24779716"],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapingmonkey/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 '{
  "mode": "job_search",
  "maxResults": 10,
  "query": "software engineer",
  "companyUrls": [
    "https://www.efinancialcareers.com/companies/ABC_arbitrage-iHXDjmLVvieekuBF"
  ],
  "jobUrls": [
    "https://www.efinancialcareers.com/jobs-USA-NY-Manhattan-VP_Product_Strategy__Management_AI.id24779716"
  ]
}' |
apify call scrapingmonkey/efinancialcareers-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapingmonkey/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/4ZbbIDWpJ8eMGVZdd/builds/0tc8vZ7baCn9umtWc/openapi.json
