# Psychologist Email Scraper (`contacts-api/psychologist-email-scraper`) Actor Psychologist email scraper to extract verified psychologist emails from clinics, therapy centers, and mental health directories πŸ“§πŸ§  Perfect for healthcare outreach, recruitment, and targeted mental health lead generation. - **URL**: https://apify.com/contacts-api/psychologist-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, Developer tools - **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 ### 🧠 Psychologist Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted psychologist list. This actor searches Google Maps for psychology practices across any city, crawls their websites, and extracts public emails, phone numbers, and social media profiles β€” all in one clean, export-ready dataset. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Psychologist", "child psychologist", "clinical psychology" 2. Add one or more target locations β€” e.g., "New York", "Miami, Florida" 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 Psychologist Email Scraper? The Psychologist Email Scraper is a purpose-built lead generation and contact discovery tool for psychology clinics, private practices, and mental health service providers. It combines Google Maps discovery with deep website crawling to pull publicly available contact data into a clean psychologist list you can use immediately. Who is it for? - Marketing teams targeting mental health and wellness providers - Staffing/recruiting agencies sourcing practices and managers - Sales and outreach teams building pipelines of psychologist leads - Researchers and analysts compiling regional practice directories Use it as a psychologist lead finder, a psychologist lead scraper, and a psychologist email finder β€” all in one workflow. Whether you need to enrich a CRM with psychologist email contacts or find new prospects, this actor automates discovery and extraction at scale. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Practice or company name from Google Maps | | Website | Official website URL when available | | 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 psychologist email addresses discovered on website 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 | This structured output is ideal for CRM import, analytics, and follow-up workflows designed around psychologist leads. --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Psychologist", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Psychologist", "googleMapsLocation": [ "New York", "Miami, Florida", "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., "Psychologist", "child psychologist", "clinical psychologist" | | `googleMapsLocation` | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Austin, Texas"] | | `maxBusinesses` | Number | ❌ No | Maximum businesses with emails to return (1–1,000). Stops when the target is reached | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, applies `maxBusinesses` per location. If false, uses a combined total across all locations | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Strongly recommended for large runs to avoid blocks | *** #### πŸ“€ Sample Output ```json [ { "name": "Harborview Psychology Group", "website": "https://www.harborviewpsychology.com", "phone": "+1 212-555-0144", "full_address": "245 W 57th St, New York, NY 10019, United States", "city": "New York", "state": "NY", "zip": "10019", "country_code": "US", "scraped_emails": [ "info@harborviewpsychology.com", "appointments@harborviewpsychology.com" ], "scraped_phones": ["+1 212-555-0144", "+1 212-555-0192"], "scraped_social_media": [ "facebook:https://facebook.com/harborviewpsychology", "linkedin:https://www.linkedin.com/company/harborview-psychology" ], "emails_found": 2, "pages_scraped": 18, "avg_rating": 4.7, "total_reviews": 86, "lat": 40.7662, "long": -73.9816, "place_id": "ChIJ-EXAMPLEID-001", "scrape_status": "success" }, { "name": "Uptown Cognitive Therapy", "website": "https://www.uptownct.com", "phone": "+1 646-555-0173", "full_address": "88 Lexington Ave, New York, NY 10016, United States", "city": "New York", "state": "NY", "zip": "10016", "country_code": "US", "scraped_emails": [ "contact@uptownct.com" ], "scraped_phones": ["+1 646-555-0173"], "scraped_social_media": [ "instagram:https://instagram.com/uptownct" ], "emails_found": 1, "pages_scraped": 9, "avg_rating": 4.5, "total_reviews": 42, "lat": 40.7424, "long": -73.9837, "place_id": "ChIJ-EXAMPLEID-002", "scrape_status": "success" } ] ``` *** #### πŸ”§ How It Works β€” Under the Hood ``` Step 1 β†’ Search Google Maps using your term + location Step 2 β†’ Collect business listings (name, address, phone, website) Step 3 β†’ Visit each website and crawl key pages (Home, Contact, About, Services) Step 4 β†’ Extract public emails, phone numbers, and social media links Step 5 β†’ Deduplicate and normalize all contact data Step 6 β†’ Return structured results ready for export or API consumption ``` The pipeline doubles as a psychologist lead finder and a psychologist email extractor, delivering verified contact details with minimal noise from non-relevant sources. Use the psychologist data scraper capabilities to enrich existing records or build net-new outreach lists. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Enter any city, state, or region. The actor pinpoints psychology practices and clinics in your exact target areas β€” delivering hyper-local psychologist leads with clean contact details. ##### πŸ” Deep Website Crawl Goes beyond the listing by crawling homepages, contact pages, about pages, and footers to surface every publicly available psychologist email and phone number your prospects publish. ##### 🌎 Multi-Location Scaling Run across dozens of cities at once. Choose a combined cap or a per-location cap β€” perfect for building a large, multi-market psychologist list without manual effort. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain so your data stays clean and actionable β€” no messy cleanup required after export from this psychologist contact scraper. ##### πŸ“Š Structured, CRM-Ready Output Normalized fields and consistent formats make it effortless to import into HubSpot, Salesforce, Apollo, Instantly, or any outreach stack. Ideal when using the actor as a psychologist contact finder for enrichment. ##### πŸ›‘οΈ Proxy-Ready for Reliability Built-in proxy support enables stable, large-scale runs without rate-limiting or IP blocks β€” ideal for agency-level campaigns using a psychologist lead scraper or psychologist email finder. ##### ⏱️ Stop at Your Target The actor halts as soon as your `maxBusinesses` limit is reached β€” helping you control budgets and compute while targeting precisely the volume you need. ##### πŸ”„ Schedulable & Repeatable Set it to run daily, weekly, or monthly to continuously grow and refresh your pool of psychologist leads and keep your lists current. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists for private practices, group clinics, and specialty psychologists. Use this as your psychologist lead finder to fuel cold email sequences and nurturing campaigns. ##### πŸ§‘β€βš•οΈ Staffing & Recruiting Identify practices and hiring admins for active roles. The psychologist contact finder capability surfaces public inboxes not easily found on job boards. ##### πŸ“£ Local & Regional Marketing Create geo-targeted campaigns with verified psychologist email contacts and phone numbers pulled directly from practice websites. ##### 🀝 Partnerships & Referrals Find complementary mental health services β€” counseling centers, psychiatrists, therapy groups β€” and expand your network using the psychologist contact scraper. ##### πŸ“š Academic Research & Surveys Compile regional directories for surveys or public health initiatives. The psychologist data scraper helps you gather a robust, current dataset quickly. ##### πŸ—ƒοΈ CRM Enrichment Enrich existing records with missing emails, phones, and social profiles. Combine the actor’s psychologist email finder and psychologist email extractor roles for best results. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a regional database β€” results depend on: - Number of locations added - Search term breadth (niche vs. broad) - Website density and email visibility in each market - `maxBusinesses` setting and per-location vs. combined mode - Proxy configuration and run timeout Typical Output Ranges - 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+ per run Run multiple times across different regions to continuously build your psychologist list and maintain fresh psychologist leads across markets with the help of this psychologist data scraper. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: - Export JSON for full structured data - Download CSV / Excel for spreadsheets - Use the Apify API to stream results into your apps - Connect with Zapier / Make for automations - Trigger webhooks to push results to your CRM Plug into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any platform that accepts CSV/JSON imports. *** #### 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 "Psychologist Email Scraper" in the Apify Store and click Try for free. Step 3 β€” Set Your Search Term\ Enter "Psychologist" or a niche variant like "sports psychologist", "pediatric psychologist", or "trauma therapist". Step 4 β€” Add Target Locations\ Enter one or more cities/regions β€” e.g., "New York", "Austin, Texas", "Sydney, Australia". 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 combined - Per-location cap: Applies your limit independently to each city Step 7 β€” Enable Proxies\ Turn on Apify Proxy for stable, uninterrupted crawling at scale. Step 8 β€” Run πŸš€\ Click Start and let the Psychologist 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 actor collects only publicly available business contact information β€” emails and phone numbers published openly on websites. Best practices to stay compliant: - 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 Relevant regulations: - GDPR (EU) - CAN-SPAM Act (US) - CASL (Canada) - PECR (UK) This tool is intended for ethical business prospecting and research. You are responsible for how you use the data collected when employing a psychologist contact scraper or psychologist email extractor. *** #### ❓ Frequently Asked Questions Q: Does this scrape private or personal emails?\ A: No. The actor only extracts emails that are publicly visible on business websites β€” practice inboxes, admin contacts, and general inquiry addresses, suitable for professional outreach. Q: Can I search multiple cities in one run?\ A: Yes. Add as many locations as needed. Use per-location capping for even geographic distribution of psychologist leads. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your psychologist list accurate and avoid repetitive messaging. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify’s built-in scheduler to run weekly or monthly and keep your lists fresh. Q: What niches does the search term support?\ A: Any Google Maps searchable term β€” try "child psychologist", "clinical psychologist", "CBT therapist", "psychotherapy clinic", or "neuropsychology". Q: Are proxies required?\ A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and maintain reliability. Q: What export formats are available?\ A: JSON, CSV, and Excel downloads. You can also use the Apify API or webhooks to integrate programmatically with your systems. Q: How is this different from manual research?\ A: Manual searching is slow and inconsistent. This workflow automates discovery and extraction β€” acting as a psychologist lead scraper and psychologist email finder β€” in minutes. *** #### πŸ§‘β€πŸ’» Support & Custom Solutions Have a question, feature request, or need a custom build? Email: scrapermindapi@gmail.com We’re happy to help with: - Custom input/output configurations - Niche-specific adaptations (e.g., pediatric or sports psychology) - Bulk or enterprise run support - Integration assistance for CRMs and automation tools *** *Built for marketers, recruiters, and teams who need reliable psychologist leads at scale β€” fast with a streamlined psychologist email scraper.* 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": "Psychologist", "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": "Psychologist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/psychologist-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": "Psychologist", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/psychologist-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": "Psychologist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/psychologist-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/psychologist-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Psychologist Email Scraper", "description": "Psychologist email scraper to extract verified psychologist emails from clinics, therapy centers, and mental health directories πŸ“§πŸ§  Perfect for healthcare outreach, recruitment, and targeted mental health lead generation.", "version": "1.0", "x-build-id": "mt6adsnt6voIt4lBm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~psychologist-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-psychologist-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~psychologist-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-psychologist-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~psychologist-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-psychologist-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": "Psychologist" }, "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 } } } } } } } } } } ```