# LinkedIn Profile Lookup (`agentx/linkedin-profile-lookup`) Actor Look up any public LinkedIn profile by URL and get back the structured person record: name, headline, about, location, follower and connection counts, full work-experience and education history, published articles, and recent activity — the same feed Sales Navigator and Recruiter teams need. - **URL**: https://apify.com/agentx/linkedin-profile-lookup.md - **Developed by:** [AgentX](https://apify.com/agentx) (community) - **Categories:** Social media, Lead generation, Agents - **Stats:** 32 total users, 22 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.15 / result 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 ## LinkedIn Profile Scraper - Professional Profile Intelligence & Contact Enrichment API **LinkedIn Profile Scraper is a professional profile intelligence API that extracts structured LinkedIn member profiles, career history, and recent activity from any public LinkedIn member page in a single URL-driven run.** LinkedIn Profile Scraper returns structured records per profile, including full name, headline, location, current job title, current company, employment history array (with company, title, dates, descriptions), education array (with school, degree, dates), follower count, connection count, published article array, recent activity feed, profile photo URL, and LinkedIn vanity URL. Coverage spans every public LinkedIn member profile worldwide. Built for talent sourcing, B2B lead enrichment, executive profiling, sales intelligence, professional network analysis, recruiter pipelines, and ICP scoring. Up to 50,000 profiles per run at $0.15 per result, with pay-per-result pricing and no monthly minimum. [![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&color=0077B5)](https://apify.com/agentx/linkedin-profile-scraper?fpr=aiagentapi) [![Profile Intelligence](https://img.shields.io/badge/Profile_Intelligence-0077B5?style=for-the-badge&color=0077B5)](https://apify.com/agentx/linkedin-profile-scraper?fpr=aiagentapi) [![Pay Per Result](https://img.shields.io/badge/Pay_Per_Result-0077B5?style=for-the-badge&color=0077B5)](https://apify.com/agentx/linkedin-profile-scraper?fpr=aiagentapi) --- ### Why Choose This API #### Complete LinkedIn Professional Profile Data for B2B Contact Intelligence **👤 Full Career Trajectory via Experiences Array** The `experiences` array captures each work entry with title, company, company URL, logo, date range, start year, end year, and duration — delivering structured career history for background checks, competitive talent intelligence, and recruiter workflows. **🎓 Education Verification** The `education` array includes school, school URL, logo, degree, date range, start year, and end year — enabling academic qualification verification, alumni network analysis, and talent sourcing by educational background. **📊 Follower Count & Reach Signals** Extract `follower_count` and `connection_count` per profile — quantifying professional influence, thought leadership reach, and network depth for influencer identification and B2B marketing prioritization. **📝 Published Articles Intelligence** The `articles` array captures LinkedIn publications with title, URL, published date, description, reaction count, comment count, and image URL — enabling content authority analysis and thought leadership scoring. **📢 Recent Activity Feed** The `activity` array delivers recent posts with actor details, posted date, content, reaction count, comment count, and post URL — providing intent signals and engagement analysis for sales intelligence and investor research. **🏢 Current Companies & Job Titles** `current_companies` and `job_titles` arrays provide immediate employer-role mapping without parsing unstructured text — enabling direct company-to-person linkage for CRM enrichment and account-based marketing workflows. --- ### Quick Start Guide #### How to Extract a LinkedIn Profile in 3 Steps ##### Step 1: Find the LinkedIn Profile URL Locate the public LinkedIn profile URL (e.g., `https://www.linkedin.com/in/andrewyng`). ##### Step 2: Configure and Run the Actor [Open Actor Input](https://console.apify.com/actors/CUf5sseg9cEozOyhU/input?fpr=aiagentapi) Paste the LinkedIn profile URL and click **Start**. ##### Step 3: Download Your Data Export results as JSON or CSV, or access programmatically via the Apify dataset API. Each record contains the complete professional profile. --- ### Input Parameters #### Configuration Fields | Parameter | Type | Required | Description | Example Values | | -------------- | ------ | -------- | -------------------------------------- | ----------------------------------------- | | `linkedin_url` | string | ✅ | Public LinkedIn profile URL to extract | `"https://www.linkedin.com/in/andrewyng"` | #### Example Input Configuration ```json { "linkedin_url": "https://www.linkedin.com/in/andrewyng" } ```` *** ### Output Data Schema #### Complete Profile Record Structure Each extracted LinkedIn profile record contains the following fields: [Open Actor Output](https://console.apify.com/actors/CUf5sseg9cEozOyhU/input?fpr=aiagentapi) #### Core Profile Fields | Field | Type | Description | | ------------------- | ------- | -------------------------------------------- | | `source_url` | string | Original input LinkedIn URL | | `processor` | string | Apify actor URL that processed this record | | `processed_at` | string | ISO 8601 timestamp (UTC) when scraped | | `status` | string | Lookup status (success/not found) | | `type` | string | LinkedIn page type (person) | | `linkedin_url` | string | Normalized LinkedIn profile URL | | `name` | string | Full name on the profile | | `headline` | string | Professional headline | | `about` | string | Full bio from About section | | `location` | string | Geographic location | | `profile_image_url` | string | Profile photo URL | | `follower_count` | integer | LinkedIn follower count | | `connection_count` | integer | LinkedIn connection count | | `current_companies` | array | Current employer(s) | | `job_titles` | array | Current job title(s) | | `experiences` | array | Full work history with company, title, dates | | `education` | array | Education history with school, degree, dates | | `articles` | array | Published LinkedIn articles with engagement | | `activity` | array | Recent posts and activity with engagement | #### Example JSON Output ```json { "processor": "https://apify.com/agentx/linkedin-profile-scraper?fpr=aiagentapi", "processed_at": "2026-05-01T10:30:00.000Z", "status": "success", "linkedin_url": "https://www.linkedin.com/in/andrewyng/", "name": "Andrew Ng", "headline": "Managing General Partner @ AI Fund", "location": "Stanford, California, United States", "follower_count": 2500000, "connection_count": 500, "current_companies": ["AI Fund", "Landing AI"], "job_titles": ["Managing General Partner", "Founder & CEO"] } ``` #### Export Formats - **JSON** - Complete structured data with all metadata - **CSV** - Spreadsheet-compatible for CRM and analytics tools - **API Access** - Programmatic access via Apify Client SDK - **Cloud Storage** - Automatic upload to Apify Dataset *** ### Integration Examples #### Actor ID for Platform Integration ```text CUf5sseg9cEozOyhU ``` #### Ⓜ️ [Make.com Setup:](https://www.make.com/en/register?pc=marketingme) 1. Login to **[Make.com (Get 1000 Free Credits)](https://www.make.com/en/register?pc=marketingme)** 2. Add module **"Run an Actor"** 3. Turn **'Map'** on - right side of the 'Actor\*' 4. Paste **Actor ID** - from above 5. Click the **'⟳ Refresh'** - left side of Map 6. **Input JSON\*** - Modify the parameters as needed 7. Set **"Run synchronously"** to **YES** 8. Add module **"Get Dataset Items"** - receive the result 9. In **Dataset ID\*** select **defaultDatasetId** #### 🎱 [N8N.io Setup:](https://n8n.io/) 1. Add **'Run an Actor and get dataset'** - from the apify node 2. **Actor** → **By ID** → **Paste Actor ID** - from above 3. **Input JSON** - Modify the parameters as needed #### Python Integration Example ```python from apify_client import ApifyClient client = ApifyClient('YOUR_API_TOKEN') run_input = { "linkedin_url": "https://www.linkedin.com/in/satyanadella" } run = client.actor("CUf5sseg9cEozOyhU").call(run_input=run_input) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` #### JavaScript/Node.js Integration ```javascript import { ApifyClient } from "apify-client"; const client = new ApifyClient({ token: "YOUR_API_TOKEN" }); const input = { linkedin_url: "https://www.linkedin.com/in/jeffweiner08", }; const run = await client.actor("CUf5sseg9cEozOyhU").call(input); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => console.log(item)); ``` #### JSON-LD Metadata ```json { "@context": "https://schema.org", "@graph": [ { "@type": "SoftwareApplication", "@id": "https://apify.com/agentx/linkedin-profile-scraper#software", "name": "LinkedIn Profile Scraper", "description": "LinkedIn Profile Scraper is a professional profile intelligence API delivering structured contact data with career history, education, follower counts, articles, and activity signals for talent sourcing, lead enrichment, and professional network analysis.", "applicationCategory": "BusinessApplication", "applicationSubCategory": "Lead Generation API", "operatingSystem": "Web, Cloud", "url": "https://apify.com/agentx/linkedin-profile-scraper?fpr=aiagentapi", "softwareVersion": "1.0.0", "datePublished": "2024-08-01", "dateModified": "2026-05-01", "featureList": [ "Full name, headline, and location per profile", "Current job title and company", "Full employment history array with dates", "Education array with school and degree", "Follower count and connection count", "Published articles and recent activity feed", "Up to 50,000 profiles per run at $0.15/result", "Native integrations with Make.com, n8n, LangChain, and CrewAI" ], "offers": { "@type": "Offer", "price": "0.15", "priceCurrency": "USD", "availability": "https://schema.org/InStock" }, "author": { "@id": "https://apify.com/agentx#person" }, "publisher": { "@id": "https://apify.com#organization" } }, { "@type": "Person", "@id": "https://apify.com/agentx#person", "name": "AgentX", "url": "https://apify.com/agentx", "sameAs": [ "https://apify.com/agentx", "https://t.me/AiAgentApi", "https://t.me/Apify_Actor" ], "knowsAbout": [ "web scraping", "LinkedIn", "professional profiles", "talent sourcing", "lead enrichment" ] }, { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Apify", "item": "https://apify.com" }, { "@type": "ListItem", "position": 2, "name": "AgentX", "item": "https://apify.com/agentx" }, { "@type": "ListItem", "position": 3, "name": "LinkedIn Profile Scraper", "item": "https://apify.com/agentx/linkedin-profile-scraper" } ] } ] } ``` *** ### Pricing & Cost Calculator #### Pay-Per-Result Pricing | Event | Price | | -------------- | ----------------- | | Actor Start | $0.01 per run | | Profile Result | $0.15 per profile | #### Cost Examples | Volume | Estimated Cost | | ------------ | -------------- | | 10 profiles | ~$1.51 | | 50 profiles | ~$7.51 | | 100 profiles | ~$15.01 | | 500 profiles | ~$75.01 | > Start with a free Apify account — new accounts include free compute credits to test the actor at no cost. *** ### Use Cases & Applications #### Talent Sourcing & Recruitment **Executive Profile Research** Extract full career trajectories, educational backgrounds, and publication records for executive candidates — building structured candidate dossiers for C-suite hiring, board member research, and executive assessment workflows. **Talent Pool Profiling** Combine with [LinkedIn Hiring Scraper](https://apify.com/agentx/linkedin-hiring-scraper?fpr=aiagentapi) to identify job applicant LinkedIn URLs and enrich ATS records with full career histories, skill indicators, and professional activity signals. **Alumni Network Intelligence** Extract profiles from specific educational institutions to build structured alumni datasets — enabling alumni relations management, university partnership identification, and talent network mapping. #### B2B Sales & Lead Intelligence **Decision Maker Contact Enrichment** Enrich CRM contact records with full LinkedIn profile data — adding career history, current companies, follower counts, and recent activity to Salesforce, HubSpot, and custom CRM lead records. **Thought Leadership Scoring** Combine `follower_count`, `articles`, and `activity` engagement metrics to score contacts by professional influence — enabling ABM prioritization, influencer partnership selection, and marketing outreach sequencing. **Account Contact Mapping** Link profiles to company accounts via `current_companies` — building contact-to-account maps for ABM campaigns, enterprise account planning, and revenue intelligence platforms. #### Competitive Intelligence **Competitor Executive Monitoring** Track career movements of competitors' leadership by periodically refreshing executive profile data — detecting headcount changes, new leadership hires, and executive departures as competitive signals. *** ### FAQ #### What LinkedIn URL format does this actor accept? Standard public LinkedIn profile URLs in the format `https://www.linkedin.com/in/`. #### Does this actor require LinkedIn login? No. The actor extracts data from publicly accessible LinkedIn profiles only. #### What is the `activity` field? An array of recent posts and interactions from the profile's LinkedIn activity feed, including post content, reaction and comment counts, and post URLs. #### Can I process multiple profiles in one run? Run one profile per actor invocation. For bulk processing, iterate through profile URLs programmatically using the Apify Client SDK. #### How do I pair profile data with company data? Use `current_companies` to identify employer names, then run [LinkedIn Company Scraper](https://apify.com/agentx/linkedin-company-scraper?fpr=aiagentapi) with the corresponding company URLs to get full firmographic data. *** ### SEO Keywords & Search Terms #### Primary Keywords LinkedIn profile scraper API, LinkedIn contact data extraction, LinkedIn profile intelligence API, LinkedIn lead enrichment API, professional profile data API, LinkedIn career history extraction, LinkedIn contact enrichment pipeline, LinkedIn follower count API, executive profile scraper LinkedIn, LinkedIn professional data #### Long-Tail Keywords how to extract LinkedIn profile data programmatically, LinkedIn career history extraction API, LinkedIn follower and connection count API, CRM enrichment with LinkedIn profiles, B2B contact intelligence LinkedIn, executive background research API, LinkedIn thought leadership scoring, ATS enrichment LinkedIn profile data, talent sourcing profile extraction API, decision maker profile enrichment LinkedIn #### Industry Terms professional profile intelligence API, LinkedIn contact enrichment, B2B lead data pipeline, talent intelligence API, executive profiling tool, CRM contact enrichment, career trajectory extraction, LinkedIn network analytics, professional influence scoring, sales intelligence LinkedIn #### Use Case Keywords LinkedIn data pipeline, B2B CRM enrichment, talent sourcing API, executive profile research tool, ABM contact intelligence, lead enrichment LinkedIn, professional network analysis, sales intelligence LinkedIn profiles, ATS profile enrichment, competitive intelligence LinkedIn contacts *** ### Trust & Certifications - ✅ **Production-Grade Infrastructure** — runs on the Apify cloud platform with managed proxy rotation and automatic retries - ✅ **GDPR & CCPA Aligned** — extracts only publicly accessible LinkedIn member profiles; no personal contact details inferred or retained beyond the run session - ✅ **Pay-Per-Result Billing** — transparent per-profile pricing with no monthly minimum or seat fees - ✅ **Continuously Maintained** — schema and selector updates released as LinkedIn evolves *** ### Legal & Compliance #### Data Rights & Usage All data extracted by this actor originates from publicly available LinkedIn member profiles. Users are responsible for ensuring their use of extracted data complies with applicable laws and LinkedIn's terms of service. #### Privacy Compliance - **GDPR**: Compliant with EU General Data Protection Regulation. Only publicly available profile data is extracted. - **CCPA**: Compliant with California Consumer Privacy Act requirements. #### Platform Terms of Service Users must review and comply with LinkedIn's terms of service when using extracted data. #### Enterprise Support For enterprise licensing, custom integrations, or compliance inquiries: - **Telegram**: [@AiAgentApi](https://t.me/AiAgentApi) *** ### Related Tools #### Jobs & Hiring - **[All Jobs Scraper](https://apify.com/agentx/all-jobs-scraper?fpr=aiagentapi)** - Multi-Platform Job Listings Intelligence API - **[Glassdoor Hiring Scraper](https://apify.com/agentx/glassdoor-hiring-scraper?fpr=aiagentapi)** - Glassdoor Job Listings Intelligence API - **[Glints Employer Data Extractor](https://apify.com/agentx/glints-employer-data-extractor?fpr=aiagentapi)** - Glints Employer Intelligence API - **[Glints Jobs Data Extractor](https://apify.com/agentx/glints-jobs-data-extractor?fpr=aiagentapi)** - Glints Job Listings Intelligence API - **[Indeed Hiring Scraper](https://apify.com/agentx/indeed-hiring-scraper?fpr=aiagentapi)** - 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Global Weather Intelligence API *** ### Support & Community - **👥 Community**: [@Apify\_Actor](https://t.me/Apify_Actor) - **👤 Contact Team**: [@AiAgentApi](https://t.me/AiAgentApi) *** **Last Updated:** May 01, 2026 # Actor input Schema ## `linkedin_url` (type: `string`): Public LinkedIn profile URL to look up ## Actor input object example ```json { "linkedin_url": "https://www.linkedin.com/in/andrewyng" } ``` # Actor output Schema ## `results` (type: `string`): All looked-up LinkedIn person profiles with full details. # 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 = { "linkedin_url": "https://www.linkedin.com/in/andrewyng" }; // Run the Actor and wait for it to finish const run = await client.actor("agentx/linkedin-profile-lookup").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 = { "linkedin_url": "https://www.linkedin.com/in/andrewyng" } # Run the Actor and wait for it to finish run = client.actor("agentx/linkedin-profile-lookup").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 '{ "linkedin_url": "https://www.linkedin.com/in/andrewyng" }' | apify call agentx/linkedin-profile-lookup --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentx/linkedin-profile-lookup", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Lookup", "description": "Look up any public LinkedIn profile by URL and get back the structured person record: name, headline, about, location, follower and connection counts, full work-experience and education history, published articles, and recent activity — the same feed Sales Navigator and Recruiter teams need.", "version": "1.0", "x-build-id": "g3F5D54R1BtM4ldW1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentx~linkedin-profile-lookup/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentx-linkedin-profile-lookup", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agentx~linkedin-profile-lookup/runs": { "post": { "operationId": "runs-sync-agentx-linkedin-profile-lookup", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agentx~linkedin-profile-lookup/run-sync": { "post": { "operationId": "run-sync-agentx-linkedin-profile-lookup", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "linkedin_url" ], "properties": { "linkedin_url": { "title": "🔗 LinkedIn URL", "type": "string", "description": "Public LinkedIn profile URL to look up" } } }, "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 } } } } } } } } } } ```