# eFinancialCareers Finance Jobs Scraper (`blackfalcondata/efinancialcareers-scraper`) Actor Scrape efinancialcareers.com — the leading global job board for finance, banking, and fintech professionals. Multi-country, structured salary data, and incremental change tracking. - **URL**: https://apify.com/blackfalcondata/efinancialcareers-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ### What does eFinancialCareers Finance Jobs Scraper do? eFinancialCareers Finance Jobs Scraper extracts structured job data from [efinancialcareers.com](https://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. ```json { "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. ```json { "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. ```json { "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. ```json { "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. ```json { "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 ```json { "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](https://apify.com/blackfalcondata/efinancialcareers-scraper?fpr=1h3gvi) 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](https://docs.apify.com/platform/actors/paid-actors/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](https://apify.com/integrations?fpr=1h3gvi) 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](https://docs.apify.com/api/v2). 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](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) 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](https://apify.com/blackfalcondata/efinancialcareers-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [Actiris Brussels Job Scraper](https://apify.com/blackfalcondata/actiris-scraper?fpr=1h3gvi) — Scrape all active job listings from actiris.brussels — official Brussels public employment service.. - [Adzuna Job Scraper](https://apify.com/blackfalcondata/adzuna-scraper?fpr=1h3gvi) — Scrape adzuna.com - the global job board with 20+ country markets. Structured salary. - [APEC.fr Scraper - French Executive Jobs](https://apify.com/blackfalcondata/apec-scraper?fpr=1h3gvi) — Scrape apec.fr - French executive job listings with salary ranges, company, location, skills,. - [Arbeitsagentur Scraper - German Jobs](https://apify.com/blackfalcondata/arbeitsagentur-scraper?fpr=1h3gvi) — Scrape arbeitsagentur.de - Germany’s official employment portal with 1M+ listings. Contact data,. - [AutoScout24 Scraper](https://apify.com/blackfalcondata/autoscout24-scraper?fpr=1h3gvi) — Scrape autoscout24.com - Europe's largest used car marketplace with 770K+ listings. Structured. - [Bayt.com Scraper - Jobs from the Middle East](https://apify.com/blackfalcondata/bayt-scraper?fpr=1h3gvi) — Scrape bayt.com - the leading Middle East job board. Salary data, experience requirements. - [Bilbasen Scraper - Denmark’s Car Marketplace](https://apify.com/blackfalcondata/bilbasen-scraper?fpr=1h3gvi) — Scrape bilbasen.dk - Denmark’s largest car marketplace. Full vehicle specifications, seller. - [Bumeran Scraper](https://apify.com/blackfalcondata/bumeran-scraper?fpr=1h3gvi) — Scrape bumeran.com.ar - the largest job board across 8 LATAM countries. Work modality, contract. ### Getting started with Apify New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi) — 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](https://apify.com/pricing?fpr=1h3gvi). # Actor input Schema ## `query` (type: `string`): Free-text keyword search (e.g. 'python', 'investment banking', 'quant'). Leave empty to return all jobs for the selected country. ## `countryCode2` (type: `string`): ISO-2 country code. Determines which country's job inventory is searched. ## `culture` (type: `string`): Locale code for the response (e.g. 'us', 'gb', 'fr', 'de'). ## `currencyCode` (type: `string`): Currency for salary fields. ## `maxResults` (type: `integer`): Maximum total results to return. 0 = unlimited (up to the full country inventory). ## `pageSize` (type: `integer`): Records per request batch. 100 is the tested sweet spot; up to 500 is supported but may be slower. ## `includeRemote` (type: `boolean`): Include remote-friendly postings in results. ## `includeUnspecifiedSalary` (type: `boolean`): Include jobs that do not disclose a salary range. ## `descriptionMaxLength` (type: `integer`): Truncate description to N characters. 0 = no truncation. ## `compact` (type: `boolean`): Return only the core set of fields (for AI-agent/MCP workflows). ## `incrementalMode` (type: `boolean`): Compare against previous run state and emit only NEW / UPDATED / EXPIRED records. ## `stateKey` (type: `string`): Stable identifier that pairs runs together (e.g. 'us-python-daily'). Required when incrementalMode is enabled. ## `emitUnchanged` (type: `boolean`): Also emit jobs that have not changed since the last run (incrementalMode only). ## `emitExpired` (type: `boolean`): Also emit jobs that have disappeared since the last run (incrementalMode only). ## `skipReposts` (type: `boolean`): Skip jobs whose content matches an expired job from a prior run (cross-run repost detection). ## Actor input object example ```json { "countryCode2": "US", "culture": "us", "currencyCode": "USD", "maxResults": 100, "pageSize": 100, "includeRemote": true, "includeUnspecifiedSalary": true, "descriptionMaxLength": 0, "compact": false, "incrementalMode": false, "emitUnchanged": false, "emitExpired": false, "skipReposts": false } ``` # Actor output Schema ## `results` (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 = { "query": "", "maxResults": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/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 = { "query": "", "maxResults": 100, } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/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 '{ "query": "", "maxResults": 100 }' | apify call blackfalcondata/efinancialcareers-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blackfalcondata/efinancialcareers-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "eFinancialCareers Finance Jobs Scraper", "description": "Scrape efinancialcareers.com — the leading global job board for finance, banking, and fintech professionals. Multi-country, structured salary data, and incremental change tracking.", "version": "0.1", "x-build-id": "Rbgx0O7sJdqxNjgJr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~efinancialcareers-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blackfalcondata~efinancialcareers-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-efinancialcareers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blackfalcondata~efinancialcareers-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-efinancialcareers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "query": { "title": "Search Query", "type": "string", "description": "Free-text keyword search (e.g. 'python', 'investment banking', 'quant'). Leave empty to return all jobs for the selected country." }, "countryCode2": { "title": "Country", "enum": [ "US", "GB", "FR", "DE", "CH", "SG", "HK", "AU", "LU", "NL", "IE", "BE", "IT", "ES", "CA", "AE", "SA", "ZA", "JP", "IN" ], "type": "string", "description": "ISO-2 country code. Determines which country's job inventory is searched.", "default": "US" }, "culture": { "title": "Culture / Language", "type": "string", "description": "Locale code for the response (e.g. 'us', 'gb', 'fr', 'de').", "default": "us" }, "currencyCode": { "title": "Currency", "enum": [ "USD", "GBP", "EUR", "CHF", "SGD", "HKD", "AUD", "CAD", "JPY", "AED" ], "type": "string", "description": "Currency for salary fields.", "default": "USD" }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Maximum total results to return. 0 = unlimited (up to the full country inventory).", "default": 100 }, "pageSize": { "title": "Page Size", "minimum": 1, "maximum": 500, "type": "integer", "description": "Records per request batch. 100 is the tested sweet spot; up to 500 is supported but may be slower.", "default": 100 }, "includeRemote": { "title": "Include Remote Jobs", "type": "boolean", "description": "Include remote-friendly postings in results.", "default": true }, "includeUnspecifiedSalary": { "title": "Include Jobs Without Salary", "type": "boolean", "description": "Include jobs that do not disclose a salary range.", "default": true }, "descriptionMaxLength": { "title": "Description Max Length", "minimum": 0, "type": "integer", "description": "Truncate description to N characters. 0 = no truncation.", "default": 0 }, "compact": { "title": "Compact Output", "type": "boolean", "description": "Return only the core set of fields (for AI-agent/MCP workflows).", "default": false }, "incrementalMode": { "title": "Incremental Mode", "type": "boolean", "description": "Compare against previous run state and emit only NEW / UPDATED / EXPIRED records.", "default": false }, "stateKey": { "title": "State Key", "type": "string", "description": "Stable identifier that pairs runs together (e.g. 'us-python-daily'). Required when incrementalMode is enabled." }, "emitUnchanged": { "title": "Emit Unchanged", "type": "boolean", "description": "Also emit jobs that have not changed since the last run (incrementalMode only).", "default": false }, "emitExpired": { "title": "Emit Expired", "type": "boolean", "description": "Also emit jobs that have disappeared since the last run (incrementalMode only).", "default": false }, "skipReposts": { "title": "Skip Reposts", "type": "boolean", "description": "Skip jobs whose content matches an expired job from a prior run (cross-run repost detection).", "default": false } } }, "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 } } } } } } } } } } ```