# Hiring Signal Company Enricher (`coregent/hiring-signal-company-enricher`) Actor Enrich company domains, websites, or names with public hiring signals - open role counts, hiring departments, locations, remote/hybrid indicators, sample jobs, and a transparent growth signal score. No login or cookies. - **URL**: https://apify.com/coregent/hiring-signal-company-enricher.md - **Developed by:** [Delowar Munna](https://apify.com/coregent) (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 $2.40 / 1,000 company-signal-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/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 ## Hiring Signal Company Enricher ![Hiring Signal Company Enricher](https://raw.githubusercontent.com/coregentdevspace/hiring-signal-company-enricher-assets/main/thumbnail-hiring-signal-company-enricher.png) Enrich a list of companies — by **domain, website URL, career-page URL, or plain name** — with **public hiring signals**. For each company you get one flat, CSV-ready row: open-role count, hiring departments, locations, remote/hybrid indicators, sample jobs, and a transparent **growth-signal score** (0–100). Built for **B2B sales, lead generation, recruiters, agencies, and market researchers** who want company-level hiring intelligence without scraping raw job boards or merging several actors. - ✅ **No login, no cookies, no API keys.** Public data only. - ✅ **One row per company**, not a raw job dump. - ✅ **Transparent, non-AI scoring** you can audit field-by-field. - ✅ Reliable extraction via **public ATS JSON APIs** (Greenhouse, Lever, Ashby, SmartRecruiters, Recruitee, Workable), with careers-page HTML as a fallback. --- ### What it does For every company input the actor: 1. **Normalizes** the input and detects its type (domain, URL, career URL, or company name). 2. **Discovers** the best public source — a careers page or a public ATS job board — honouring your `sourceMode`. 3. **Extracts** visible open roles (public ATS JSON first, careers-page HTML fallback), up to `maxJobsPerCompany`. 4. **Derives** company-level signals: role count, top departments, top locations, remote/hybrid counts, target-keyword matches, sample jobs. 5. **Scores** a transparent `growth_signal_score` and emits one flat row. It does **not** do login/session scraping, contact or email enrichment, deep crawling, AI summaries, or historical tracking. --- ### Input | Field | Type | Default | Description | | --------------------- | ---------------- | --------------------------- | ------------------------------------------------------------------------------------------------ | | `companies` | array of strings | `[]` | Company names, domains, website URLs, or career-page URLs. **At least one required.** Max 1,000. | | `inputType` | string | `auto` | `auto`, `domain_or_url`, `company_name`, or `career_url`. | | `maxCompanies` | integer | `100` | Max unique companies to process (1–1000). | | `maxJobsPerCompany` | integer | `50` | Cap on job evidence collected per company (1–200). | | `sourceMode` | string | `public_website_first` | `public_website_first`, `search_first`, or `career_url_only`. | | `targetKeywords` | array of strings | `[]` | Title/department terms to score and filter on (max 50). | | `requireKeywordMatch` | boolean | `false` | Save only companies with a matching visible job. | | `minOpenRoles` | integer | `0` | Skip companies with fewer visible open roles (0–200). | | `includeSampleJobs` | boolean | `true` | Populate up to 5 sample job titles/URLs. | | `deduplicate` | boolean | `true` | One row per normalized company. | | `proxyConfiguration` | object | `{ "useApifyProxy": true }` | Datacenter, no proxy, or custom proxy URLs. Apify Residential rejected at startup. | #### Example inputs **1. Enrich a mixed list (websites, names, ATS boards) and score them** ```json { "companies": ["https://www.atlassian.com", "https://www.canva.com", "HubSpot"], "inputType": "auto", "maxCompanies": 100, "maxJobsPerCompany": 50, "sourceMode": "public_website_first", "targetKeywords": ["data", "sales", "engineer"], "requireKeywordMatch": false, "minOpenRoles": 1, "includeSampleJobs": true, "deduplicate": true, "proxyConfiguration": { "useApifyProxy": true } } ```` **2. Build a sales-trigger list — only companies actively hiring for your keywords** ```json { "companies": [ "https://boards.greenhouse.io/databricks", "https://jobs.lever.co/palantir", "https://jobs.ashbyhq.com/ramp", "dropbox.com" ], "targetKeywords": ["data engineer", "account executive"], "requireKeywordMatch": true, "minOpenRoles": 5, "maxJobsPerCompany": 50, "proxyConfiguration": { "useApifyProxy": true } } ``` **3. Minimal run — just give it companies** ```json { "companies": ["stripe.com", "https://jobs.lever.co/figma", "Notion"] } ``` *** ### Output One flat row per enriched company. Key fields: - **Identity**: `input_value`, `input_type_detected`, `company_name`, `company_domain`, `company_website_url`, `careers_url`, `source_url`, `source_type` - **Hiring signals**: `hiring_status`, `open_roles_count`, `open_roles_count_capped`, `top_departments`, `top_locations`, `remote_roles_count`, `hybrid_roles_count` - **Keyword matching**: `target_keyword_matches`, `matched_keywords` - **Sample jobs**: `sample_job_title_1..5`, `sample_job_url_1..5` - **Scoring**: `growth_signal_score` (0–100), `growth_signal_label` (`high`/`medium`/`low`/`none`/`unknown`), `reason_tags` - **Status**: `extraction_status`, `error_message`, `scraped_at` #### Company hiring signals (table view) ![Company hiring signals output table](https://raw.githubusercontent.com/coregentdevspace/hiring-signal-company-enricher-assets/main/hiring-signal-company-enricher-output-company-hiring-signals-table-view.png) #### Sample record One flat row per company. Example record (real output for `https://boards.greenhouse.io/dropbox`): ```json { "input_value": "https://boards.greenhouse.io/dropbox", "input_type_detected": "career_url", "company_name": "Dropbox", "company_domain": "dropbox.com", "company_website_url": "https://dropbox.com", "careers_url": "https://boards.greenhouse.io/dropbox", "source_url": "https://boards.greenhouse.io/dropbox", "source_type": "ats_public_page", "hiring_status": "active", "open_roles_count": 30, "open_roles_count_capped": true, "top_departments": "Engineering, Sales, Operations, Marketing, Customer Support", "top_locations": "Remote -Mexico, Remote -Canada: Select locations, Remote -US: Select locations, Remote -US: All locations, Remote -Poland", "remote_roles_count": 30, "hybrid_roles_count": 0, "target_keyword_matches": 19, "matched_keywords": "data, engineer", "sample_job_title_1": "Data Engineer", "sample_job_url_1": "https://jobs.dropbox.com/listing/7739553?gh_jid=7739553", "sample_job_title_2": "Data Engineer, Analytics Data Engineering", "sample_job_url_2": "https://jobs.dropbox.com/listing/7739574?gh_jid=7739574", "sample_job_title_3": "Data Engineer, Analytics Data Engineering", "sample_job_url_3": "https://jobs.dropbox.com/listing/7739571?gh_jid=7739571", "sample_job_title_4": "Data Scientist", "sample_job_url_4": "https://jobs.dropbox.com/listing/7762004?gh_jid=7762004", "sample_job_title_5": "Data Scientist", "sample_job_url_5": "https://jobs.dropbox.com/listing/7762009?gh_jid=7762009", "growth_signal_score": 95, "growth_signal_label": "high", "reason_tags": "active_hiring,high_role_volume,multi_department_hiring,multi_location_hiring,remote_or_hybrid_roles,target_keyword_match,careers_page_found", "extraction_status": "success", "error_message": "", "scraped_at": "2026-06-09T02:50:55.014Z" } ``` A **run summary** is stored in the default key-value store under `RUN_SUMMARY` with counters such as `inputs_total`, `results_saved`, `duplicates_removed`, `filtered_out`, `charged_events`, and `companies_with_active_hiring`. *** ### Growth-signal score A transparent 0–100 weighted sum (see PRD §7), based only on visible public fields: - Open-role volume bands (`+40 / +30 / +20 / +10`) - `+15` for ≥3 hiring departments - `+10` for ≥2 hiring locations - `+10` for any remote/hybrid role - `+15 / +8` for target-keyword matches - `+5` for a dedicated careers URL Labels: `80–100 high`, `50–79 medium`, `20–49 low`, `1–19 none`, `0` (uncertain) `unknown`. *** ### Pricing **Pay Per Event.** One event, `company-signal-result`, is charged **only after** a valid, unique company row is successfully pushed to the dataset. Duplicate companies, filtered-out companies, failed inputs, and raw job evidence are **never** charged. The actor honours your per-run spending limit and stops cleanly when it is reached. *** #### 🚦 Proxy policy Use **Apify Datacenter** proxy or **no proxy** for normal runs — both work reliably for company websites and public ATS APIs at this actor's conservative concurrency. **Apify Residential proxy is not supported.** The actor fails at startup if `apifyProxyGroups` includes `RESIDENTIAL`. Reason: in pay-per-event actors, residential bandwidth (~$8/GB) is billed to the developer, not the run user, so a single bandwidth-heavy run could exceed the per-result event revenue. If you genuinely need residential routing, supply your own residential provider via the proxy editor's **Custom proxy URLs** field — that traffic goes through your provider, not Apify, and is unaffected: ``` http://user:pass@proxy.iproyal.com:12321 http://user:pass@proxy.brightdata.com:22225 http://user:pass@proxy.oxylabs.io:7777 ``` *** ### How sources are found For each company the actor tries, in order of reliability: 1. **Public ATS JSON APIs** when the careers page is hosted on / links to one (Greenhouse, Lever, Ashby, SmartRecruiters, Recruitee, Workable). 2. **Schema.org `JobPosting` JSON-LD** embedded in the careers page (server-rendered, standardized). 3. **Known-site adapters** for notable companies that publish a custom public listings endpoint (e.g. Atlassian). 4. **ATS-token guessing** — many companies host on a public board whose token derives from their name (e.g. `canva` → SmartRecruiters `Canva`, `hubspot` → Greenhouse `hubspotjobs`). The actor probes a small set of likely boards and keeps the one with the most roles. 5. **Generic careers-page HTML** — job-detail links as a last resort. ### Notes & limitations - Coverage is strongest for companies that publish jobs on a **public ATS** — which, thanks to token guessing and JSON-LD, includes many companies whose own careers site is a custom/JS app. - Company-**name** inputs are resolved best-effort via free public search; supplying a **domain or careers URL** is more reliable. - A custom JavaScript-only careers page with **no** public ATS board, JSON-LD, or adapter is reported as `no_jobs_found`/`partial` (this actor is HTTP-only by design — no headless browser). # Actor input Schema ## `companies` (type: `array`): Company names, domains, website URLs, or career-page URLs to enrich. For example "https://www.atlassian.com", "canva.com", or "HubSpot". Provide at least one. Max 1,000 per run. ## `inputType` (type: `string`): How to interpret each input. "Auto detect" infers URL, domain, career URL, or company name. Use a fixed type only if your inputs are all the same kind. ## `maxCompanies` (type: `integer`): Maximum number of unique company inputs to process per run (after normalization and deduplication). Range 1-1000. ## `maxJobsPerCompany` (type: `integer`): Stop collecting job evidence for a company once this many visible roles are found. Range 1-200. ## `sourceMode` (type: `string`): How to find a company's jobs. "Website first" tries common careers paths on the company website. "Search first" uses public search results to locate careers/ATS pages. "Career URL only" treats each input as a careers page and does no extra discovery. ## `targetKeywords` (type: `array`): Job-title or department terms to score and filter on, for example "data", "sales", "engineer". Matching roles contribute to output fields and the growth signal. Max 50. ## `requireKeywordMatch` (type: `boolean`): Save only companies that have at least one visible job matching your target keywords. Companies without a match are filtered out (not saved, not charged). ## `minOpenRoles` (type: `integer`): Skip companies with fewer than this many visible open roles. Filtered-out companies are not saved or charged. Range 0-200. ## `includeSampleJobs` (type: `boolean`): Populate up to 5 representative job titles and URLs per company. Turning this off slightly reduces runtime. ## `deduplicate` (type: `boolean`): Return only one row per normalized company/domain/careers URL so you are not charged for duplicate inputs. ## `proxyConfiguration` (type: `object`): Apify Proxy configuration. Defaults to Apify Proxy enabled. Apify Residential is NOT supported and will fail the run at startup; if you need residential routing, supply your own provider via Custom proxy URLs (proxyUrls). ## Actor input object example ```json { "companies": [ "https://www.atlassian.com", "canva.com", "HubSpot" ], "inputType": "auto", "maxCompanies": 100, "maxJobsPerCompany": 50, "sourceMode": "public_website_first", "targetKeywords": [ "data", "sales", "engineer" ], "requireKeywordMatch": false, "minOpenRoles": 0, "includeSampleJobs": true, "deduplicate": true, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `overview` (type: `string`): Flat table view with one row per enriched company: identity, careers/source URL, hiring status, open role count, departments, locations, remote/hybrid counts, sample jobs, and the derived growth signal score. # 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 = { "companies": [ "https://www.atlassian.com", "canva.com", "HubSpot" ], "targetKeywords": [ "data", "sales", "engineer" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("coregent/hiring-signal-company-enricher").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 = { "companies": [ "https://www.atlassian.com", "canva.com", "HubSpot", ], "targetKeywords": [ "data", "sales", "engineer", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("coregent/hiring-signal-company-enricher").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 '{ "companies": [ "https://www.atlassian.com", "canva.com", "HubSpot" ], "targetKeywords": [ "data", "sales", "engineer" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call coregent/hiring-signal-company-enricher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=coregent/hiring-signal-company-enricher", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hiring Signal Company Enricher", "description": "Enrich company domains, websites, or names with public hiring signals - open role counts, hiring departments, locations, remote/hybrid indicators, sample jobs, and a transparent growth signal score. No login or cookies.", "version": "1.0", "x-build-id": "OxjOkpcLT5cfWywSa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/coregent~hiring-signal-company-enricher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-coregent-hiring-signal-company-enricher", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/coregent~hiring-signal-company-enricher/runs": { "post": { "operationId": "runs-sync-coregent-hiring-signal-company-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/coregent~hiring-signal-company-enricher/run-sync": { "post": { "operationId": "run-sync-coregent-hiring-signal-company-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "companies": { "title": "Companies", "type": "array", "description": "Company names, domains, website URLs, or career-page URLs to enrich. For example \"https://www.atlassian.com\", \"canva.com\", or \"HubSpot\". Provide at least one. Max 1,000 per run.", "default": [], "items": { "type": "string" } }, "inputType": { "title": "Input type", "enum": [ "auto", "domain_or_url", "company_name", "career_url" ], "type": "string", "description": "How to interpret each input. \"Auto detect\" infers URL, domain, career URL, or company name. Use a fixed type only if your inputs are all the same kind.", "default": "auto" }, "maxCompanies": { "title": "Max companies", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of unique company inputs to process per run (after normalization and deduplication). Range 1-1000.", "default": 100 }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 1, "maximum": 200, "type": "integer", "description": "Stop collecting job evidence for a company once this many visible roles are found. Range 1-200.", "default": 50 }, "sourceMode": { "title": "Source discovery mode", "enum": [ "public_website_first", "search_first", "career_url_only" ], "type": "string", "description": "How to find a company's jobs. \"Website first\" tries common careers paths on the company website. \"Search first\" uses public search results to locate careers/ATS pages. \"Career URL only\" treats each input as a careers page and does no extra discovery.", "default": "public_website_first" }, "targetKeywords": { "title": "Target keywords", "type": "array", "description": "Job-title or department terms to score and filter on, for example \"data\", \"sales\", \"engineer\". Matching roles contribute to output fields and the growth signal. Max 50.", "default": [], "items": { "type": "string" } }, "requireKeywordMatch": { "title": "Require keyword match", "type": "boolean", "description": "Save only companies that have at least one visible job matching your target keywords. Companies without a match are filtered out (not saved, not charged).", "default": false }, "minOpenRoles": { "title": "Minimum open roles", "minimum": 0, "maximum": 200, "type": "integer", "description": "Skip companies with fewer than this many visible open roles. Filtered-out companies are not saved or charged. Range 0-200.", "default": 0 }, "includeSampleJobs": { "title": "Include sample jobs", "type": "boolean", "description": "Populate up to 5 representative job titles and URLs per company. Turning this off slightly reduces runtime.", "default": true }, "deduplicate": { "title": "Deduplicate companies", "type": "boolean", "description": "Return only one row per normalized company/domain/careers URL so you are not charged for duplicate inputs.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy configuration. Defaults to Apify Proxy enabled. Apify Residential is NOT supported and will fail the run at startup; if you need residential routing, supply your own provider via Custom proxy URLs (proxyUrls).", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```