# US DOL H1B LCA PERM Scraper - Visa Wage Disclosure Data (`jungle_synthesizer/dol-h1b-lca-crawler`) Actor Scrape official US DOL foreign-labor disclosure data. Covers H-1B, H-1B1, E-3 (LCA), PERM labor certifications, H-2A, H-2B, and CW-1. Get employer, job title, SOC code, offered wage, prevailing wage level, worksite, case status, and decision date. - **URL**: https://apify.com/jungle\_synthesizer/dol-h1b-lca-crawler.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Business, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## DOL H1B LCA PERM Disclosure Scraper Scrape visa disclosure data from the [US Department of Labor](https://www.dol.gov/agencies/eta/foreign-labor/performance). Returns H-1B, H-1B1, E-3, PERM, H-2A, H-2B, and CW-1 certifications with employer, wage, SOC, and worksite details — the same Excel dumps the DOL publishes every quarter, except you don't have to open a 75 MB spreadsheet to read them. ### What does the DOL H1B LCA PERM Scraper do? The scraper downloads the official quarterly disclosure XLSX files from `dol.gov/agencies/eta/foreign-labor/performance`, stream-parses them row by row, and returns structured records matching your filters. It covers five visa programs: LCA (H-1B, H-1B1 Singapore, H-1B1 Chile, E-3 Australian), PERM labor certifications, H-2A agricultural, H-2B non-agricultural, and CW-1 CNMI workers. Filter by employer, job title, SOC code, state, case status, or minimum annual wage. No auth, no proxy, no browser — just the data. ### DOL H1B Scraper Features - **Five visa programs in one actor** — LCA (H-1B family), PERM, H-2A, H-2B, CW-1. Unified output schema across all programs, so downstream code stays simple. - **45+ structured fields per record** — employer, worksite, wages (offered + prevailing), SOC, case status, decision date, attorney, FEIN, NAICS, and more. - **Wage normalization** — offered wages are annualized to USD regardless of unit (Year / Month / Bi-Weekly / Week / Hour). Filter by `minAnnualWage` without worrying whether H-2B pays hourly. - **Six filters, AND-combined** — employer name (contains), job title (contains), SOC code (prefix), worksite state, case status, min annual wage. - **Stream parsing** — handles Q4 cumulative files that inflate to 600+ MB of inner XML without blowing memory. - **No proxy, no auth** — DOL files are public US-hosted downloads. Your proxy bill stays at zero. - **Every fiscal year from 2020 onward** — pick any FY / quarter. The actor builds the URL, the DOL CDN serves it. ### Who Uses DOL H1B / LCA / PERM Data? - **Immigration attorneys** — research precedent filings for a given employer, SOC code, or worksite. Build arguments from actual wage levels and case outcomes. - **Compensation teams** — benchmark H-1B salaries by role, level, and location. The LCA file is what levels.fyi wishes it was. - **Recruiters and sourcing teams** — find companies actively sponsoring H-1B in your target SOC, then cross-reference to LinkedIn. - **Policy researchers and journalists** — track denial rates, Level I wage abuse, H-1B dependent flags, and geographic concentration of foreign-labor filings. - **Salary-benchmark products** — pipe the full quarterly dataset into your pricing engine. Clean fields, consistent names, no parsing Excel. ### How the DOL Scraper Works 1. Pick a visa program, fiscal year, and quarter. The default (LCA / FY2025 / Q4) pulls the most recent annual LCA file. 2. Optionally add filters — employer, job title, SOC prefix, worksite state, case status, min wage. 3. The actor downloads the XLSX directly from `dol.gov`, stream-parses each row, and applies your filters. 4. Matching rows are written to the Apify dataset in the unified schema. Set `maxItems: 0` to pull the whole file. --- ### Input ```json { "visaProgram": "LCA", "fiscalYear": 2025, "fiscalQuarter": "Q4", "employerName": "Google", "worksiteState": "CA", "minAnnualWage": 150000, "maxItems": 100 } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `visaProgram` | string | `LCA` | `LCA`, `PERM`, `H-2A`, `H-2B`, or `CW` | | `fiscalYear` | integer | `2025` | DOL fiscal year (Oct–Sep). Supports 2020 through 2030. | | `fiscalQuarter` | string | `Q4` | `Q1`, `Q2`, `Q3`, or `Q4`. Q4 files are typically cumulative for the full FY. | | `employerName` | string | `""` | Case-insensitive contains match against employer legal name. | | `jobTitle` | string | `""` | Case-insensitive contains match against job title. | | `socCode` | string | `""` | Prefix match against SOC code (e.g. `15-1252` for Software Developers). | | `worksiteState` | string | `""` | Two-letter state code (e.g. `CA`, `NY`, `TX`). | | `caseStatus` | string | `""` | `Certified`, `Denied`, `Withdrawn`, or `Certified - Withdrawn`. Empty = all. | | `minAnnualWage` | integer | `0` | Minimum offered wage (annualized). `0` = no minimum. | | `maxItems` | integer | `100` | Max records to return. `0` = unlimited (run to end of file). | #### Example: PERM labor certifications for Intel ```json { "visaProgram": "PERM", "fiscalYear": 2026, "fiscalQuarter": "Q1", "employerName": "Intel", "maxItems": 500 } ``` #### Example: All certified H-1Bs for Software Developers in California ```json { "visaProgram": "LCA", "fiscalYear": 2025, "fiscalQuarter": "Q4", "socCode": "15-1252", "worksiteState": "CA", "caseStatus": "Certified", "maxItems": 0 } ``` *** ### DOL H1B Scraper Output Fields ```json { "case_number": "I-200-23355-585999", "visa_class": "H-1B", "case_status": "Certified", "received_date": "2023-12-21", "decision_date": "2023-12-29", "employment_start_date": "2024-06-07", "employment_end_date": "2027-06-06", "employer_name": "Google LLC", "employer_address": "1600 Amphitheatre Parkway", "employer_city": "Mountain View", "employer_state": "CA", "employer_postal_code": "94043", "employer_country": "UNITED STATES OF AMERICA", "employer_phone": "+16502037602", "employer_fein": "77-0493581", "naics_code": "541512", "agent_attorney_name": "Felipe Peixoto Andrade", "agent_attorney_firm": "Berry Appleman & Leiden LLP", "job_title": "Software Engineer", "soc_code": "15-1299.08", "soc_title": "Computer Systems Engineers/Architects", "wage_rate_of_pay_from": 177000, "wage_rate_of_pay_to": null, "wage_unit_of_pay": "Year", "wage_annual_min": 177000, "prevailing_wage": 131144, "pw_unit_of_pay": "Year", "pw_wage_level": "II", "pw_source": null, "worksite_address": "225 Humboldt Ct", "worksite_city": "Sunnyvale", "worksite_county": "SANTA CLARA", "worksite_state": "CA", "worksite_postal_code": "94089", "full_time_position": "Y", "total_worker_positions": 1, "new_employment": 0, "continued_employment": 1, "change_previous_employment": 0, "new_concurrent_employment": 0, "change_employer": 0, "amended_petition": 0, "h1b_dependent": "No", "willful_violator": "No", "support_h1b": null, "source_file": "LCA_Disclosure_Data_FY2024_Q1.xlsx" } ``` | Field | Type | Description | |-------|------|-------------| | `case_number` | string | DOL case number | | `visa_class` | string | H-1B, H-1B1 Singapore, H-1B1 Chile, E-3 Australian, PERM, H-2A, H-2B, CW-1 | | `case_status` | string | Certified, Denied, Withdrawn, or Certified - Withdrawn | | `received_date` | string | DOL received date (YYYY-MM-DD) | | `decision_date` | string | DOL decision date (YYYY-MM-DD) | | `employment_start_date` | string | Requested employment start date | | `employment_end_date` | string | Requested employment end date | | `employer_name` | string | Employer legal name | | `employer_address` | string | Employer street address | | `employer_city` | string | Employer city | | `employer_state` | string | Employer state code | | `employer_postal_code` | string | Employer postal code | | `employer_country` | string | Employer country | | `employer_phone` | string | Employer phone | | `employer_fein` | string | Federal Employer Identification Number | | `naics_code` | string | NAICS industry code | | `agent_attorney_name` | string | Full name of agent or attorney | | `agent_attorney_firm` | string | Law firm or business name | | `job_title` | string | Job title | | `soc_code` | string | SOC occupation code | | `soc_title` | string | SOC occupation title | | `wage_rate_of_pay_from` | number | Offered wage low end (in wage\_unit\_of\_pay) | | `wage_rate_of_pay_to` | number | Offered wage high end | | `wage_unit_of_pay` | string | Year, Hour, Month, Week, or Bi-Weekly | | `wage_annual_min` | number | Offered wage annualized to USD/year | | `prevailing_wage` | number | DOL prevailing wage | | `pw_unit_of_pay` | string | Prevailing wage period | | `pw_wage_level` | string | Prevailing wage level (I, II, III, IV) | | `pw_source` | string | Prevailing wage source (OES, CBA, DBA, SCA, Other) | | `worksite_address` | string | Worksite street address | | `worksite_city` | string | Worksite city | | `worksite_county` | string | Worksite county | | `worksite_state` | string | Worksite state code | | `worksite_postal_code` | string | Worksite postal code | | `full_time_position` | string | Y or N | | `total_worker_positions` | number | Total worker positions requested | | `new_employment` | number | Count of new-employment positions | | `continued_employment` | number | Count of continued-employment positions | | `change_previous_employment` | number | Count of change-previous-employment positions | | `new_concurrent_employment` | number | Count of new-concurrent-employment positions | | `change_employer` | number | Count of change-employer positions | | `amended_petition` | number | Count of amended-petition positions | | `h1b_dependent` | string | H-1B dependent employer flag (Y/N) | | `willful_violator` | string | Willful violator employer flag (Y/N) | | `support_h1b` | string | Statutory basis / H-1B support flag | | `source_file` | string | Source XLSX filename (e.g. `LCA_Disclosure_Data_FY2024_Q1.xlsx`) | PERM records populate employer, SOC, wage, and worksite fields; H-1B-specific fields (`h1b_dependent`, `pw_wage_level`, `total_worker_positions`, etc.) are null for PERM. H-2A / H-2B / CW-1 populate the LCA-style fields directly, with wages often in hourly units. *** ### FAQ #### How do I scrape DOL H1B LCA data? The DOL H1B LCA PERM Scraper downloads the quarterly XLSX disclosure file you pick and filters records in-stream. Default input returns 100 LCA records from the most recent fiscal year. For bulk pulls, set `maxItems: 0` and the actor runs until the end of the file. #### How much does it cost to run? The scraper is pay-per-event: $0.10 per actor start plus $0.001 per record scraped. A 10,000-record pull costs ~$10. A focused filter (one employer, one quarter) usually returns a few hundred records for well under a dollar. #### Can I get data for a specific company? Yes. Set `employerName` to any substring of the employer legal name. Matching is case-insensitive — `google` matches `Google LLC` and `Google Operating LLC`. Combine with `worksiteState` or `socCode` to narrow further. #### What's the difference between LCA and PERM? LCA (Labor Condition Application) is the temporary-visa filing for H-1B, H-1B1, and E-3 workers. PERM is the permanent-residency labor certification filed before an employer can sponsor a green card. The LCA file has ~100K records per quarter; PERM has ~15-20K. Most H-1B salary analysis uses LCA. #### Does it need a proxy? No. DOL files are hosted on a public US CDN. The actor's default proxy configuration is off. #### How fresh is the data? The DOL publishes disclosure files quarterly, usually 30-60 days after the quarter ends. The actor always downloads the current version of whatever FY / quarter you request — no caching on our side. #### Can I pull historical years? Yes. Every fiscal year from 2020 onward uses the same file naming convention and schema. Earlier years exist but have different columns and are not currently supported. *** ### Need More Features? Need custom fields, a different filter, or integration help? File an issue or get in touch. ### Why Use the DOL H1B Scraper? - **All five visa programs, one schema** — LCA, PERM, H-2A, H-2B, CW-1 normalized to consistent field names. Stop writing per-program adapters. - **Wages normalized to annual USD** — one field (`wage_annual_min`) works across Year / Hour / Month / Week / Bi-Weekly records. Sorting and thresholds just work. - **Straightforward pricing** — $0.001 per record. Predictable, not surprise-bill territory. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `visaProgram` (type: `string`): Which disclosure program to download (LCA = H-1B, H-1B1, E-3 combined). ## `fiscalYear` (type: `integer`): DOL fiscal year (e.g. 2025 = Oct 2024-Sep 2025). ## `fiscalQuarter` (type: `string`): Fiscal quarter to download. ## `employerName` (type: `string`): Filter by employer name (case-insensitive contains match). Leave empty for all employers. ## `jobTitle` (type: `string`): Filter by job title (case-insensitive contains match). Leave empty for all. ## `socCode` (type: `string`): Filter by SOC code prefix (e.g. 15-1252 for Software Developers). Leave empty for all. ## `worksiteState` (type: `string`): Two-letter US state code (e.g. CA, NY, TX). Leave empty for all states. ## `caseStatus` (type: `string`): Filter by certification status. ## `minAnnualWage` (type: `integer`): Minimum offered annual wage in USD (wages in other units are normalized). Use 0 for no minimum. ## `maxItems` (type: `integer`): Maximum number of records to return. Set to 0 for unlimited (may require high memory/timeout). ## `proxyConfiguration` (type: `object`): DOL files are public US-hosted downloads; proxy is not required. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "visaProgram": "LCA", "fiscalYear": 2025, "fiscalQuarter": "Q4", "employerName": "", "jobTitle": "", "socCode": "", "worksiteState": "", "caseStatus": "", "minAnnualWage": 0, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "visaProgram": "LCA", "fiscalYear": 2025, "fiscalQuarter": "Q4", "employerName": "", "jobTitle": "", "socCode": "", "worksiteState": "", "caseStatus": "", "minAnnualWage": 0, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/dol-h1b-lca-crawler").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "visaProgram": "LCA", "fiscalYear": 2025, "fiscalQuarter": "Q4", "employerName": "", "jobTitle": "", "socCode": "", "worksiteState": "", "caseStatus": "", "minAnnualWage": 0, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/dol-h1b-lca-crawler").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "visaProgram": "LCA", "fiscalYear": 2025, "fiscalQuarter": "Q4", "employerName": "", "jobTitle": "", "socCode": "", "worksiteState": "", "caseStatus": "", "minAnnualWage": 0, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": false } }' | apify call jungle_synthesizer/dol-h1b-lca-crawler --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/dol-h1b-lca-crawler", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US DOL H1B LCA PERM Scraper - Visa Wage Disclosure Data", "description": "Scrape official US DOL foreign-labor disclosure data. Covers H-1B, H-1B1, E-3 (LCA), PERM labor certifications, H-2A, H-2B, and CW-1. Get employer, job title, SOC code, offered wage, prevailing wage level, worksite, case status, and decision date.", "version": "1.0", "x-build-id": "MXiotgAqf8C585cvU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~dol-h1b-lca-crawler/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-dol-h1b-lca-crawler", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~dol-h1b-lca-crawler/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-dol-h1b-lca-crawler", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~dol-h1b-lca-crawler/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-dol-h1b-lca-crawler", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "visaProgram": { "title": "Visa Program", "enum": [ "LCA", "PERM", "H-2A", "H-2B", "CW" ], "type": "string", "description": "Which disclosure program to download (LCA = H-1B, H-1B1, E-3 combined).", "default": "LCA" }, "fiscalYear": { "title": "Fiscal Year", "type": "integer", "description": "DOL fiscal year (e.g. 2025 = Oct 2024-Sep 2025).", "default": 2025 }, "fiscalQuarter": { "title": "Fiscal Quarter", "enum": [ "Q1", "Q2", "Q3", "Q4" ], "type": "string", "description": "Fiscal quarter to download.", "default": "Q4" }, "employerName": { "title": "Employer Name Filter", "type": "string", "description": "Filter by employer name (case-insensitive contains match). Leave empty for all employers.", "default": "" }, "jobTitle": { "title": "Job Title Filter", "type": "string", "description": "Filter by job title (case-insensitive contains match). Leave empty for all.", "default": "" }, "socCode": { "title": "SOC Code Filter", "type": "string", "description": "Filter by SOC code prefix (e.g. 15-1252 for Software Developers). Leave empty for all.", "default": "" }, "worksiteState": { "title": "Worksite State", "type": "string", "description": "Two-letter US state code (e.g. CA, NY, TX). Leave empty for all states.", "default": "" }, "caseStatus": { "title": "Case Status", "enum": [ "", "Certified", "Denied", "Withdrawn", "Certified - Withdrawn" ], "type": "string", "description": "Filter by certification status.", "default": "" }, "minAnnualWage": { "title": "Minimum Annual Wage (USD)", "type": "integer", "description": "Minimum offered annual wage in USD (wages in other units are normalized). Use 0 for no minimum.", "default": 0 }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to return. Set to 0 for unlimited (may require high memory/timeout).", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "DOL files are public US-hosted downloads; proxy is not required.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```