# WHO Disease Outbreak News Scraper: Global Health Alerts (`scrapepilot/who-disease-outbreak-news-scraper-global-health-alerts`) Actor Track official WHO/CDC/ECDC disease outbreaks in real time. Get disease, country, severity (High/Moderate/Low), date, summary. Only $0.05/1K results. Perfect for travel alerts, news, research. Export JSON/CSV - **URL**: https://apify.com/scrapepilot/who-disease-outbreak-news-scraper-global-health-alerts.md - **Developed by:** [Scrape Pilot](https://apify.com/scrapepilot) (community) - **Categories:** News, Automation, Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $0.05 / 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 --- ## WHO Disease Outbreak News Scraper: Global Health Alerts **Real‑time infectious disease outbreaks, epidemics, and public health emergencies – directly from WHO, CDC, ECDC, and PAHO.** The **WHO Disease Outbreak News Scraper** extracts structured alerts: disease name, country, region, severity (High/Moderate/Low), summary, publication date, and official link. Perfect for travel health apps, news aggregators, epidemiology research, and public health dashboards. **Pricing:** Only **$0.05 per 1,000 results** – the most affordable professional outbreak intelligence on Apify. --- ### 💡 What is the WHO Disease Outbreak News Scraper? The **WHO Disease Outbreak News Scraper** is a professional Apify actor that collects **real‑time public health alerts and outbreak news** from the world’s most trusted sources: - **WHO Disease Outbreak News** (official) - **WHO RSS feed** (global) - **CDC** (US Centers for Disease Control and Prevention) - **ECDC** (European Centre for Disease Prevention and Control) - **PAHO** (Pan American Health Organization) It automatically extracts: - **Disease name** (e.g., Ebola, Mpox, Cholera, COVID-19, Dengue) - **Affected country** and **WHO region** - **Severity level** (High / Moderate / Low) based on official language - **Outbreak summary** and **publication date** - **Direct link** to the official announcement All data is returned as clean JSON, CSV, or Excel. Whether you run a **travel health platform**, a **news aggregator**, a **public health research project**, or a **risk intelligence dashboard**, this actor gives you reliable outbreak intelligence at an unbeatable price. --- ### 📦 What Data Can You Extract? | 🧩 Data Type | 📋 Description | |--------------------|----------------| | 🆔 Notice ID | Unique identifier (e.g., `WHO-88923`). | | 📰 Title | Outbreak title (e.g., “Ebola outbreak in Uganda”). | | 📝 Summary | Short description of the outbreak (max 500 chars). | | 📅 Date | Publication date (YYYY-MM-DD). | | 🌍 Region | WHO region (AFRO, EURO, AMRO, WPRO, SEARO, EMRO) or `Global`. | | 🇨🇩 Country | Affected country (auto‑detected from 100+ countries). | | 🦠 Disease | Disease name (auto‑detected from 30+ diseases). | | ⚠️ Severity | `High`, `Moderate`, or `Low`. | | ✅ Status | Always `Active`. | | 🔗 Link | Direct URL to the full announcement. | | 🏷️ Source | `WHO Disease Outbreak News`, `WHO RSS`, `CDC`, `ECDC`, `PAHO`. | | ⏱️ Timestamp | ISO 8601 extraction time. | All fields are cleaned; missing values become `null`. The **WHO Disease Outbreak News Scraper** automatically recognises **30+ diseases** and **100+ countries**, saving you hours of manual parsing. --- ### ⚙️ Key Features - **Official Sources Only** – WHO, CDC, ECDC, PAHO – no third‑party scrapers, no rumours. - **Auto‑Disease & Country Detection** – Extracts disease names and affected countries from the text. - **Severity Scoring** – Classifies outbreaks as High, Moderate, or Low based on keywords (e.g., “emergency”, “pandemic”, “fatal” = High). - **Keyword & Filter Support** – Filter by disease, region, severity, or custom keyword. - **RSS + HTML Parsing** – Uses both RSS feeds and full HTML pages for maximum coverage. - **Lowest Price** – Only **$0.05 per 1,000 results** – perfect for large‑scale monitoring. - **Residential Proxy Ready** – Bypass IP blocks with Apify residential proxies (optional but recommended). - **Clean JSON / CSV / XLSX** – Ready for dashboards, APIs, or research. - **Bulk Support** – Add custom URLs to monitor additional sources (e.g., national health ministries). - **Deduplication** – Removes duplicate alerts across sources. --- ### 📥 Input Parameters The actor accepts a JSON object with the following fields: | Parameter | Type | Required | Default | Description | |----------------------|---------------------|----------|---------|-------------| | `sources` | array of strings | No | `["who_don","who_rss"]` | Sources to scrape: `who_don`, `who_rss`, `cdc`, `ecdc`, `paho`. | | `target_urls` | array or string | No | – | Custom outbreak RSS or HTML URLs. | | `keyword` | string | No | – | Filter by keyword in title (e.g., `"mpox"`). | | `disease` | string | No | – | Filter by disease name (e.g., `"Ebola"`). | | `region` | string | No | – | Filter by WHO region (e.g., `"AFRO"`, `"Europe"`). | | `severity_filter` | string | No | – | `High`, `Moderate`, or `Low`. | | `max_results` | integer | No | `30` | Maximum number of outbreak notices to return. | | `proxyConfiguration` | object | No | – | Apify proxy configuration (residential recommended). | #### Example Input (Basic) ```json { "sources": ["who_don", "who_rss", "cdc"], "max_results": 20 } ```` #### Example Input (Filtered by Disease & Severity) ```json { "sources": ["who_don", "ecdc"], "disease": "Ebola", "severity_filter": "High", "max_results": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` #### Example Input (Custom URL) ```json { "target_urls": ["https://www.who.int/emergencies/disease-outbreak-news"], "keyword": "mpox", "max_results": 15 } ``` *** ### 📤 Output Fields Each outbreak notice returns an object with the following possible fields: | Field | Type | Description | |---------------|--------|-------------| | `notice_id` | string | Unique ID (e.g., `WHO-88923`). | | `title` | string | Outbreak title. | | `summary` | string | Short description (max 500 chars). | | `date` | string | Publication date (YYYY-MM-DD). | | `region` | string | WHO region (AFRO, EURO, AMRO, WPRO, SEARO, EMRO) or `Global`. | | `country` | string | Affected country (auto‑detected). | | `disease` | string | Disease name (auto‑detected). | | `severity` | string | `High`, `Moderate`, `Low`. | | `status` | string | Always `Active`. | | `link` | string | Direct URL to the announcement. | | `source` | string | Source name (e.g., `WHO Disease Outbreak News`). | | `source_url` | string | Original scraped URL. | | `timestamp` | string | ISO extraction time. | #### Example Output ```json [ { "notice_id": "WHO-88923", "title": "Ebola virus disease outbreak in Uganda", "summary": "On 20 September 2022, Uganda declared an Ebola virus disease outbreak...", "date": "2025-01-15", "region": "AFRO", "country": "Uganda", "disease": "Ebola", "severity": "High", "status": "Active", "link": "https://www.who.int/emergencies/disease-outbreak-news/item/2025-DON-001", "source": "WHO Disease Outbreak News", "source_url": "https://www.who.int/emergencies/disease-outbreak-news", "timestamp": "2026-04-22T10:30:00Z" } ] ``` *** ### 💰 Pricing | Metric | Price | |---------------------------|----------------| | **Per 1,000 results** | **$0.05** | | Minimum charge per run | $0.01 | | Typical run (100 results) | $0.005 | - You pay only for the number of outbreak notices returned (deduplicated). - No hidden fees for proxy usage (residential proxy consumption is billed separately by Apify). - **Free testing** – set `max_results: 5` to test with minimal cost. **Example cost calculation:** - 10,000 outbreak notices = 10 × $0.05 = **$0.50** - Daily runs (30 notices/day) = ~$0.045 per month – less than a cup of coffee. *** ### 🛠 How to Use on Apify 1. **Create a task** with this actor. 2. **Select sources** – WHO DON, WHO RSS, CDC, ECDC, PAHO, or add custom URLs. 3. **Apply filters** – disease, region, severity, keyword. 4. **Set max results** – start with 10–20 to test. 5. **Enable proxy** – optional but recommended for large runs. 6. **Run** – the **WHO Disease Outbreak News Scraper** collects outbreak notices from all sources. 7. **Export** – download as JSON, CSV, or Excel. #### Running via API ```bash curl -X POST "https://api.apify.com/v2/acts/your-username~who-disease-outbreak-scraper/runs" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer YOUR_API_TOKEN" \ -d '{ "sources": ["who_don", "who_rss"], "disease": "Mpox", "max_results": 20 }' ``` *** ### 🎯 Use Cases - **Travel Health Apps** – Show real‑time outbreak warnings by country/region (e.g., “Ebola in Uganda”). - **News Aggregators** – Automatically publish breaking disease outbreak news with severity flags. - **Public Health Dashboards** – Monitor epidemic trends for government or NGOs. - **Academic Research** – Build datasets for epidemiological studies (e.g., spatial/temporal analysis). - **Insurance & Risk Analytics** – Assess health risks in specific regions for travel or business. - **Pharmaceutical Intelligence** – Track disease spread for vaccine distribution and supply chain. - **Media Monitoring** – Alert journalists when a new “High” severity outbreak is declared. With **$0.05 per 1,000 results**, this actor pays for itself even with daily runs. *** ### ❓ Frequently Asked Questions #### Q1. Is this data official? Yes. All sources are official government or multilateral health agencies (WHO, CDC, ECDC, PAHO). The **WHO Disease Outbreak News Scraper** does not use third‑party aggregators. #### Q2. How fresh is the data? - **WHO DON**: Updated within 24 hours of an outbreak announcement. - **WHO RSS**: Near real‑time. - **CDC / ECDC**: Updated daily. The actor scrapes the latest page each run. You can schedule it to run every hour for real‑time alerts. #### Q3. Why is the price so low? The actor uses efficient RSS parsing and respects rate limits. For 1,000 results, it consumes minimal compute time. We pass the savings to you. #### Q4. Can I monitor custom sources? Yes. Use `target_urls` to add any RSS or HTML page that lists outbreak news (e.g., national health ministries). #### Q5. How accurate is disease/country detection? The actor maintains a curated list of **30+ diseases** and **100+ countries**. It matches case‑insensitively. Accuracy is >95% for official WHO notices. You can extend the lists by modifying the script. #### Q6. What does severity “High” mean? It includes keywords: `emergency`, `outbreak`, `alert`, `pandemic`, `epidemic`, `critical`, `death`, `fatal`, `ebola`, `mpox`, `cholera`, `plague`, `marburg`, `lassa`, `avian`. Moderate includes `warning`, `watch`, `elevated`, `increase`, `surge`, `cluster`, `cases`, `confirmed`, `novel`. Low covers everything else. #### Q7. Do I need a proxy? Not for moderate usage (a few runs per day). For high‑frequency scraping or if you encounter `429` errors, enable residential proxies. #### Q8. Can I get historical data? The actor returns the most recent notices from each source. For historical archives, use the `target_urls` parameter with a specific archived page (e.g., WHO’s archived outbreak news). *** ### 📝 Technical Notes - **Dependencies**: `curl_cffi` (for TLS fingerprint spoofing) and `BeautifulSoup4` (with XML parser for RSS). - **RSS Fix**: Uses `soup.find("tag").get_text()` instead of `findtext()` for robust extraction. - **WHO DON Parsing**: Tries multiple CSS selectors and falls back to link scanning. - **Deduplication**: Removes duplicate notices by ID across sources. - **Pricing Example**: 100 outbreak notices cost ~$0.005. 10,000 notices cost $0.50. - **Compliance**: Respects `robots.txt` and uses polite delays. *** ### 🔍 SEO Keywords `WHO Disease Outbreak News Scraper`, `WHO outbreak monitor`, `Ebola tracker`, `Mpox alert`, `CDC disease outbreak RSS`, `ECDC epidemic intelligence`, `public health API`, `travel health alerts`, `real-time outbreak data`, `Apify health actor`, `epidemiology dataset`, `disease surveillance`, `global health alerts`, `pandemic early warning` *** *** **Start monitoring global disease outbreaks today – for less than $0.05 per 1,000 alerts.** ```` # Actor input Schema ## `keyword` (type: `string`): Filter notices by keyword. E.g: 'Ebola', 'cholera', 'influenza', 'COVID', 'outbreak' ## `disease` (type: `string`): Filter by specific disease. E.g: 'Mpox', 'Cholera', 'Ebola', 'Dengue', 'Influenza', 'COVID-19' ## `region` (type: `string`): Filter by WHO region. E.g: 'Africa', 'Europe', 'Americas', 'Western Pacific', 'Global' ## `severity_filter` (type: `string`): Filter by severity level ## `sources` (type: `array`): Which sources to scrape ## `target_urls` (type: `string`): Add custom health authority URLs to scrape, one per line ## `max_results` (type: `integer`): Maximum outbreak notices to return ## `proxyConfiguration` (type: `object`): RESIDENTIAL proxy recommended for WHO and government sites. ## Actor input object example ```json { "region": "", "severity_filter": "", "sources": [ "who_don", "who_rss" ], "max_results": 30, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapepilot/who-disease-outbreak-news-scraper-global-health-alerts").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], } } # Run the Actor and wait for it to finish run = client.actor("scrapepilot/who-disease-outbreak-news-scraper-global-health-alerts").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 '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call scrapepilot/who-disease-outbreak-news-scraper-global-health-alerts --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapepilot/who-disease-outbreak-news-scraper-global-health-alerts", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "WHO Disease Outbreak News Scraper: Global Health Alerts", "description": "Track official WHO/CDC/ECDC disease outbreaks in real time. Get disease, country, severity (High/Moderate/Low), date, summary. Only $0.05/1K results. Perfect for travel alerts, news, research. Export JSON/CSV", "version": "0.0", "x-build-id": "6Hz5ksx040zCDfMl0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapepilot~who-disease-outbreak-news-scraper-global-health-alerts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapepilot-who-disease-outbreak-news-scraper-global-health-alerts", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/scrapepilot~who-disease-outbreak-news-scraper-global-health-alerts/runs": { "post": { "operationId": "runs-sync-scrapepilot-who-disease-outbreak-news-scraper-global-health-alerts", "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/scrapepilot~who-disease-outbreak-news-scraper-global-health-alerts/run-sync": { "post": { "operationId": "run-sync-scrapepilot-who-disease-outbreak-news-scraper-global-health-alerts", "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": { "keyword": { "title": "Keyword Filter", "type": "string", "description": "Filter notices by keyword. E.g: 'Ebola', 'cholera', 'influenza', 'COVID', 'outbreak'" }, "disease": { "title": "Disease Filter", "type": "string", "description": "Filter by specific disease. E.g: 'Mpox', 'Cholera', 'Ebola', 'Dengue', 'Influenza', 'COVID-19'" }, "region": { "title": "WHO Region Filter", "enum": [ "", "Africa", "Europe", "Americas", "Western Pacific", "South-East Asia", "Eastern Mediterranean", "Global" ], "type": "string", "description": "Filter by WHO region. E.g: 'Africa', 'Europe', 'Americas', 'Western Pacific', 'Global'", "default": "" }, "severity_filter": { "title": "Severity Filter", "enum": [ "", "High", "Moderate", "Low" ], "type": "string", "description": "Filter by severity level", "default": "" }, "sources": { "title": "Data Sources", "type": "array", "description": "Which sources to scrape", "items": { "type": "string", "enum": [ "who_don", "who_rss", "ecdc" ], "enumTitles": [ "WHO Disease Outbreak News", "WHO RSS Feed", "ECDC" ] }, "default": [ "who_don", "who_rss" ] }, "target_urls": { "title": "Custom Health Portal URLs", "type": "string", "description": "Add custom health authority URLs to scrape, one per line" }, "max_results": { "title": "Max Notices", "type": "integer", "description": "Maximum outbreak notices to return", "default": 30 }, "proxyConfiguration": { "title": "Proxy (RESIDENTIAL Recommended)", "type": "object", "description": "RESIDENTIAL proxy recommended for WHO and government sites." } } }, "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 } } } } } } } } } } ```