# Employment Agencies Email Scraper (`contacts-api/employment-agencies-email-scraper`) Actor Employment agencies email scraper to extract verified emails from staffing firms, recruitment agencies, and HR companies πŸ“§πŸ’Ό Perfect for B2B outreach, hiring campaigns, and recruitment industry lead generation. - **URL**: https://apify.com/contacts-api/employment-agencies-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ### πŸ§‘β€πŸ’Ό Employment Agencies Email Scraper β€” Find Verified Agency Contacts Fast > The fastest way to build a clean, targeted employment agencies email list. This actor searches Google Maps for employment agencies in any city, crawls their websites, and extracts verified emails, phone numbers, and social media profiles β€” all in one export-ready dataset built for outreach. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Employment Agencies" 2. Add one or more target locations β€” e.g., "New York" 3. Set your desired number of businesses with emails 4. Hit Run and get your results in minutes No coding required. Export to CSV, JSON, or Excel instantly. --- #### πŸ’‘ What Is the Employment Agencies Email Scraper? The Employment Agencies Email Scraper is a purpose-built prospecting and contact discovery tool for: - Staffing and recruiting firms - HR tech and SaaS vendors selling into agencies - B2B sales teams and lead gen agencies - Researchers and analysts mapping local labor markets It combines Google Maps discovery with deep website crawling to extract publicly available contact data like employment agencies email addresses, phone numbers, and social profiles β€” producing a deduplicated employment agencies list ready for outreach. Whether you’re using it as an employment agencies lead finder, an employment agencies lead scraper, or an employment agencies email finder, this single workflow discovers agencies and extracts contacts in one automated run. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Agency or company name from Google Maps | | Website | Official website URL | | Phone | Primary phone from the listing or website | | Full Address | Complete address as listed | | City / State / ZIP | Parsed location components | | Country Code | ISO country code where available | | Emails | All public employment agencies email addresses found on crawled pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, Twitter/X, and more | | Email Count | Total unique emails found per business | | Pages Scraped | Number of website pages crawled per domain | | Rating | Average Google Maps star rating | | Reviews | Total number of Google reviews | | Latitude / Longitude | Geo-coordinates for mapping and filtering | | Place ID | Google Maps place identifier | | Scrape Status | Per-record status: success, partial, or error | --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Employment Agencies", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Employment Agencies", "googleMapsLocation": [ "New York", "Chicago, Illinois", "Los Angeles, California" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | βœ… Yes | Business type to search β€” e.g., "Employment Agencies", "temp staffing", "executive recruiters" | | `googleMapsLocation` | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Miami, Florida"] | | `maxBusinesses` | Number | ❌ No | Maximum businesses with emails to return (1–1,000). The run stops at this target | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, applies `maxBusinesses` per location; if false, uses a combined total | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Recommended for large runs and reliable crawling | *** #### πŸ“€ Sample Output ```json [ { "name": "Manhattan Talent Partners", "website": "https://www.manhattantalentpartners.com", "phone": "+1 212-555-0142", "full_address": "450 7th Ave, New York, NY 10123, United States", "city": "New York", "state": "NY", "zip": "10123", "country_code": "US", "scraped_emails": [ "info@manhattantalentpartners.com", "careers@manhattantalentpartners.com" ], "scraped_phones": ["+1 212-555-0142", "+1 212-555-0198"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/manhattan-talent-partners", "facebook:https://www.facebook.com/manhattantalentpartners" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.6, "total_reviews": 87, "lat": 40.7516, "long": -73.9918, "place_id": "ChIJ9Y-EXAMPLEID1", "scrape_status": "success" }, { "name": "Brooklyn Workforce Solutions", "website": "https://www.brooklynworkforcesolutions.com", "phone": "+1 718-555-0201", "full_address": "25 Jay St, Brooklyn, NY 11201, United States", "city": "Brooklyn", "state": "NY", "zip": "11201", "country_code": "US", "scraped_emails": [ "contact@brooklynworkforcesolutions.com" ], "scraped_phones": ["+1 718-555-0201"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/brooklyn-workforce-solutions" ], "emails_found": 1, "pages_scraped": 9, "avg_rating": 4.2, "total_reviews": 53, "lat": 40.7034, "long": -73.9866, "place_id": "ChIJ8Z-EXAMPLEID2", "scrape_status": "success" } ] ``` *** #### πŸ”§ How It Works β€” Under the Hood ``` Step 1 β†’ Search Google Maps using your term + locations Step 2 β†’ Collect listings (name, address, phone, website, ratings) Step 3 β†’ Visit each website and crawl key pages (Home, Contact, About, Footer) Step 4 β†’ Extract public emails, phone numbers, and social media links Step 5 β†’ Normalize, validate, and deduplicate contacts Step 6 β†’ Output structured results for export or API use ``` This pipeline functions as both an employment agencies lead finder and an employment agencies email extractor, so you can discover new targets and pull contact data in one pass using the employment agencies email scraper workflow. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint agencies by city, state, or region and build a hyper-local employment agencies list to fuel regional campaigns. ##### πŸ” Deep Website Crawl Goes beyond Google Maps listings to crawl Contact, About, and key site sections β€” surfacing every publicly available employment agencies email and phone number. ##### 🧭 Multi-Keyword Flexibility Target niches like "temp staffing", "IT recruiters", "executive search", or "light industrial staffing" β€” the employment agencies contact scraper adapts to your search terms. ##### 🧹 Smart De-Duplication Cleans duplicate emails per domain to keep your employment agencies leads accurate and outreach-ready. ##### πŸ“Š CRM-Ready, Structured Output Consistent fields for easy import into HubSpot, Salesforce, Apollo, Instantly, or any outreach stack β€” perfect for an employment agencies contact finder workflow. ##### πŸ›‘οΈ Built-In Proxy Support Optional proxies for stable, large-scale runs without rate limits β€” ideal when running the employment agencies data scraper across multiple cities. ##### ⏱️ Stop at Your Target Halts automatically when `maxBusinesses` is reached β€” no wasted compute, no overage. ##### πŸ”„ Schedulable & Repeatable Set recurring runs to keep your pipeline full with fresh employment agencies leads. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists for HR software, background checks, payroll, and vendor services. Use it as an employment agencies lead scraper to fill the top of your funnel with verified contacts. ##### πŸ§‘β€πŸ’» Staffing Vendor Partnerships Identify local recruiting partners by niche and geography. The employment agencies contact finder helps you locate and contact decision-makers quickly. ##### πŸ“£ Local & Regional Campaigns Create geo-targeted outreach using clean employment agencies email and phone data from agency websites. ##### πŸ—ΊοΈ Market Mapping & Research Map agency density, ratings, and presence across different regions using the employment agencies data scraper. ##### 🧹 CRM Enrichment Fill missing fields with emails, phones, and social links β€” a practical employment agencies email finder for reviving stale records. ##### 🏒 Agency Client Delivery Run batch scrapes and deliver a refreshed employment agencies list weekly to clients. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small local test to a multi-state database β€” results depend on: - Number of locations added - Breadth of search terms (niche vs. general) - Website density and email visibility in target markets - `maxBusinesses` setting and per-location vs. combined mode - Proxy usage and run timeouts Typical ranges per run: - Small (1–3 cities): 20–100 businesses with emails - Medium (5–15 cities): 200–600 businesses with emails - Large (20+ cities/states): 800–1,000+ businesses with emails Run multiple campaigns across different regions and niches to continuously grow your employment agencies list. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: - Export JSON for full structured data - Download CSV/Excel for spreadsheets - Consume via the Apify API for programmatic integrations - Trigger automations via Zapier/Make - Send results to CRMs via webhooks on run completion Plug directly into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or your custom pipeline. *** #### πŸ› οΈ Step-by-Step Usage Guide Step 1 β€” Log in to Apify\ Create a free account or sign in at apify.com. Step 2 β€” Open the Actor\ Search for "Employment Agencies Email Scraper" in the Apify Store and click Try for free. Step 3 β€” Set Your Search Term\ Enter "Employment Agencies" or a niche like "executive recruiters", "IT staffing", or "temp staffing". Step 4 β€” Add Target Locations\ Enter city/state combos β€” e.g., "New York", "Chicago, Illinois", "Austin, Texas". Step 5 β€” Set Your Limit\ Choose how many businesses with emails you want β€” 20 for a quick test, up to 1,000 for a full campaign. Step 6 β€” Choose Scaling Strategy - Combined cap: The total across all locations - Per-location cap: Applies your limit independently to each location Step 7 β€” Enable Proxies\ Turn on Apify Proxy for stable, large-scale crawling. Step 8 β€” Run πŸš€\ Click Start and let the Employment Agencies Email Scraper do the work. Step 9 β€” Export\ Download as JSON, CSV, or Excel β€” or pull via API straight into your stack. *** #### βš–οΈ Legal & Compliance This tool collects only publicly available business contact information β€” emails and phone numbers published openly on websites. Best practices: - Only use publicly visible contact data - Do not bypass login walls or paywalls - Respect each website’s robots.txt and Terms of Service - Include an unsubscribe option in outreach - Follow applicable laws in your jurisdiction Key regulations: - GDPR (EU) - CAN-SPAM (USA) - CASL (Canada) - PECR (UK) This actor is intended for ethical business prospecting. You are responsible for how you use data collected by an employment agencies data scraper. *** #### ❓ Frequently Asked Questions Q: Does this scrape private or personal inboxes?\ A: No. It only extracts emails that are publicly visible on agency websites β€” such as generic inboxes, department contacts, and inquiry addresses. It’s an employment agencies email extractor focused on public data. Q: Can I search multiple cities in one run?\ A: Yes. Add as many locations as you like. Use per-location capping for even geographic distribution of employment agencies leads. Q: How does deduplication work?\ A: Emails are normalized and deduplicated per domain to keep your employment agencies list clean. Q: Can I schedule recurring runs?\ A: Absolutely. Use the Apify scheduler to refresh your pipeline weekly or monthly with new employment agencies email data. Q: What niches does the search term support?\ A: Any Google Maps-searchable term β€” try "executive recruiters", "temp staffing", "IT staffing", "light industrial staffing", or "healthcare staffing" using the employment agencies contact scraper. Q: Do I need proxies?\ A: Not for small tests, but proxies are recommended for 200+ businesses or multi-city campaigns to keep the employment agencies lead scraper stable. Q: What export formats are available?\ A: JSON, CSV, and Excel downloads, plus API and webhooks β€” ideal for plugging an employment agencies lead finder into your automation stack. Q: How is this better than manual research?\ A: Manual searching is slow and inconsistent. This employment agencies email finder automates discovery, crawling, extraction, and normalization β€” delivering results in minutes. Q: Can agencies white-label or resell this?\ A: Yes. Many users run it for clients and deliver curated employment agencies leads on a recurring schedule. *** #### πŸ§‘β€πŸ’» Support & Custom Solutions Have a question, feature request, or need a custom build? We can help with: - Custom input/output configurations - Niche-specific adaptations (executive search, IT staffing, etc.) - Bulk or enterprise run support - Integration assistance (CRMs, outreach platforms, webhooks) Email: scrapermindapi@gmail.com *** Built for teams that need a reliable employment agencies contact finder to generate qualified employment agencies leads and validated employment agencies email data β€” fast and at scale. For any help or custom solution, contact via this mail: scrapermindapi@gmail.com # Actor input Schema ## `googleMapsSearchTerm` (type: `string`): Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists'). ## `googleMapsLocation` (type: `array`): Target geographic location for the email scraper (e.g., 'Miami, Florida'). ## `maxBusinesses` (type: `integer`): Target number of businesses to find (1-1000). The scraper will stop when this target is reached. ## `scrapeMaxBusinessesPerLocation` (type: `boolean`): If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit. ## `proxyConfiguration` (type: `object`): Proxy settings for scraping. Recommended for large-scale scraping. ## Actor input object example ```json { "googleMapsSearchTerm": "Employment Agencies", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "scrapeMaxBusinessesPerLocation": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "googleMapsSearchTerm": "Employment Agencies", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/employment-agencies-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "googleMapsSearchTerm": "Employment Agencies", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/employment-agencies-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "googleMapsSearchTerm": "Employment Agencies", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/employment-agencies-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/employment-agencies-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Employment Agencies Email Scraper", "description": "Employment agencies email scraper to extract verified emails from staffing firms, recruitment agencies, and HR companies πŸ“§πŸ’Ό Perfect for B2B outreach, hiring campaigns, and recruitment industry lead generation.", "version": "1.0", "x-build-id": "kQv3JoafXBs88IbC5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~employment-agencies-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-employment-agencies-email-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/contacts-api~employment-agencies-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-employment-agencies-email-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/contacts-api~employment-agencies-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-employment-agencies-email-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", "required": [ "googleMapsLocation", "googleMapsSearchTerm" ], "properties": { "googleMapsSearchTerm": { "title": "Search Term", "type": "string", "description": "Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists').", "default": "Employment Agencies" }, "googleMapsLocation": { "title": "Location", "type": "array", "description": "Target geographic location for the email scraper (e.g., 'Miami, Florida').", "default": [ "New York" ], "items": { "type": "string" } }, "maxBusinesses": { "title": "Maximum Businesses With Emails", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Target number of businesses to find (1-1000). The scraper will stop when this target is reached.", "default": 5 }, "scrapeMaxBusinessesPerLocation": { "title": "Scrape Max Businesses Per Location", "type": "boolean", "description": "If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for scraping. Recommended for large-scale scraping." } } }, "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 } } } } } } } } } } ```