# Techmeme News Scraper (`automation-lab/techmeme-news-scraper`) Actor πŸ“° Extract ranked Techmeme stories, authors, publications, editorial excerpts, article links, related coverage clusters, thumbnails, and social post URLs. - **URL**: https://apify.com/automation-lab/techmeme-news-scraper.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** News - **Stats:** 2 total users, 1 monthly users, 87.5% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Techmeme News Scraper Turn Techmeme's ranked technology news into structured data for monitoring, analysis, alerts, and newsletters. Techmeme News Scraper collects each primary story as one clean dataset record. It preserves the editorial context that makes Techmeme useful: the headline, publication, author, excerpt, story cluster, related coverage, thumbnail, and Techmeme's social-post links. No login or API key is required. The Actor uses lightweight HTTP extraction and works with the current Top News page as well as public Techmeme archive or permalink pages. ### What does Techmeme News Scraper do? The scraper converts Techmeme pages into export-ready records. It extracts: - πŸ₯‡ Current rank on the requested Techmeme page - 🧩 Stable Techmeme cluster ID and permalink - ✍️ Author and publication as separate fields - πŸ“° Headline and canonical external article URL - πŸ“ Techmeme's editorial excerpt - πŸ–ΌοΈ Story thumbnail URL when available - πŸ”— Related coverage outlet names and article URLs - πŸ“£ Techmeme post URLs on X, Threads, Bluesky, and Mastodon - πŸ•’ Source-page provenance and scrape timestamp Each result is charged only after it is saved to the dataset. ### Who is it for? #### Technology PR and communications teams Track which announcements reach Techmeme, where they rank, and which publications join the story cluster. #### Investors and market analysts Schedule frequent runs to identify technology narratives, companies, products, and competitive events gaining editorial attention. #### Competitive-intelligence teams Feed ranked headlines and related sources into a warehouse, Slack alert, or internal dashboard. #### Newsletter and data-pipeline builders Use a curated source instead of processing an unranked firehose of individual feeds. #### Media researchers Study how multiple publications cover the same technology story using structured related-coverage links. ### Why use this Techmeme scraper? Techmeme is more than a list of links. It groups reporting into editorial story clusters and highlights the primary narrative. This Actor keeps that structure intact. - Fast HTTP-only execution - No browser overhead - No account or target-site credentials - Structured nested related coverage - Cluster-ID deduplication across multiple pages - Strict URL validation - Bounded retries and clear failures - CSV, JSON, Excel, XML, and RSS-compatible dataset exports - Scheduling, webhooks, API, and MCP support through Apify ### What data can I extract? | Field | Type | Description | |---|---|---| | `rank` | number | Story position in the extracted results | | `clusterId` | string | Techmeme story cluster identifier | | `techmemeUrl` | URL | Techmeme cluster permalink | | `author` | string | Primary article author or byline | | `publication` | string | Primary publication name | | `headline` | string | Techmeme primary headline | | `articleUrl` | URL | Canonical primary article link | | `excerpt` | string | Techmeme editorial summary text | | `thumbnailUrl` | URL | Optional Techmeme thumbnail | | `relatedCoverage` | array | Related outlet and article URL objects | | `relatedCoverageCount` | number | Number of included related links | | `socialPosts` | object | X, Threads, Bluesky, and Mastodon URLs | | `sourcePageUrl` | URL | Techmeme page that produced the record | | `scrapedAt` | date | UTC extraction timestamp | ### Example output ```json { "rank": 1, "clusterId": "260713p31", "techmemeUrl": "https://www.techmeme.com/260713/p31#a260713p31", "author": "Will Shanklin", "publication": "Engadget", "headline": "Apple releases the first public betas of iOS 27...", "articleUrl": "https://www.engadget.com/example-article/", "excerpt": "Try the new Siri AI and system-wide performance improvements.", "thumbnailUrl": "https://www.techmeme.com/260713/i31.jpg", "relatedCoverage": [ { "outlet": "The Verge", "url": "https://www.theverge.com/example" } ], "relatedCoverageCount": 1, "socialPosts": { "x": "https://twitter.com/Techmeme/status/123", "threads": "https://www.threads.com/@techmeme/post/example" }, "sourcePageUrl": "https://www.techmeme.com/", "scrapedAt": "2026-07-14T00:00:00.000Z" } ```` Values change as Techmeme updates its page. ### How to scrape Techmeme news 1. Open Techmeme News Scraper on Apify. 2. Keep the prefilled `https://www.techmeme.com/` URL for current Top News. 3. Set the maximum number of stories. 4. Choose whether to include related coverage. 5. Click **Start**. 6. Preview results in the Dataset tab. 7. Export them or connect a webhook, schedule, API client, or integration. The prefilled input is intentionally small and suitable for a first run. ### Input options #### Techmeme pages `startUrls` accepts public HTTPS URLs on `techmeme.com` or `www.techmeme.com`. Use the homepage for current news or a public archive/permalink page for historical research. Other hosts are rejected to prevent accidental crawling outside the product scope. #### Maximum stories `maxItems` accepts 1 to 500. The Actor stops after saving that many unique story clusters across all requested pages. #### Include related coverage Set `includeRelatedCoverage` to `false` when you only need primary stories and want smaller records. #### Proxy configuration Direct HTTP works by default. A proxy is optional and intended as a fallback if frequent scheduled requests become rate-limited. ### Example input ```json { "startUrls": [ { "url": "https://www.techmeme.com/" } ], "maxItems": 25, "includeRelatedCoverage": true } ``` For a lightweight headline feed, use five or ten items and disable related coverage. ### How much does it cost to scrape Techmeme? This Actor uses pay-per-event pricing. - A small one-time start event covers run initialization. - An item event is charged for each story successfully stored. - Item pricing includes automatic Apify subscription-tier discounts. - Failed pages are not charged as story results. The live pricing table in the Apify Console is authoritative. Before starting a larger job, use the input preview and maximum-story limit to estimate the result count. HTTP-only extraction keeps compute usage low compared with browser automation. ### Ranking and deduplication `rank` reflects the order in which primary stories appear on the requested pages. When the same cluster appears on multiple input pages, `clusterId` is used to save it only once during the run. This makes it safe to combine overlapping Techmeme pages without creating obvious duplicate rows. The Actor extracts primary `.ourh` story records. Related articles remain nested under the primary cluster instead of becoming misleading top-level stories. ### Related coverage clusters Techmeme's **More** section links coverage from other publications. The Actor represents each related link as: ```json { "outlet": "The Verge", "url": "https://www.theverge.com/example" } ``` Repeated publication names are preserved because one outlet can publish several distinct articles in the same cluster. Use `relatedCoverageCount` for quick filtering and `relatedCoverage` for deeper source analysis. ### Social post URLs When Techmeme embeds social syndication attributes, the Actor returns URLs for: - X / Twitter - Threads - Bluesky - Mastodon Networks with no URL on a story are omitted from the `socialPosts` object. These fields are useful for social listening, link verification, and notification workflows. ### Scheduling a Techmeme monitor Apify schedules can run the Actor hourly, daily, or on a custom cron interval. A common monitoring workflow is: 1. Run every 30 or 60 minutes. 2. Store the output in a named dataset or forward it by webhook. 3. Deduplicate downstream on `clusterId`. 4. Notify a team when target companies or keywords appear. Keep the interval respectful and collect only the number of stories your workflow needs. ### Integrations #### Slack or Microsoft Teams alerts Trigger a webhook after each successful run and format new clusters as channel messages. #### Google Sheets and Excel Export the dataset as CSV or Excel for editorial planning and media tracking. #### Airtable and Notion Send records through Make or Zapier to maintain a technology-news research database. #### Data warehouses Load JSON results into BigQuery, Snowflake, PostgreSQL, or another warehouse keyed by `clusterId`. #### LLM enrichment Pass headlines, excerpts, and related publication names to a classification or summarization workflow. ### API usage with JavaScript ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor('automation-lab/techmeme-news-scraper').call({ startUrls: [{ url: 'https://www.techmeme.com/' }], maxItems: 25, includeRelatedCoverage: true, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### Python API example ```python import os from apify_client import ApifyClient client = ApifyClient(os.environ['APIFY_TOKEN']) run = client.actor('automation-lab/techmeme-news-scraper').call(run_input={ 'startUrls': [{'url': 'https://www.techmeme.com/'}], 'maxItems': 25, 'includeRelatedCoverage': True, }) items = client.dataset(run['defaultDatasetId']).list_items().items print(items) ``` ### cURL API example ```bash curl -X POST \ "https://api.apify.com/v2/acts/automation-lab~techmeme-news-scraper/runs?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"startUrls":[{"url":"https://www.techmeme.com/"}],"maxItems":10,"includeRelatedCoverage":true}' ``` Poll the returned run ID or use the synchronous Apify endpoint when your client can wait for completion. ### Use with Apify MCP Connect the Actor to Claude and other MCP clients through Apify MCP Server: `https://mcp.apify.com?tools=automation-lab/techmeme-news-scraper` #### Claude Code setup ```bash claude mcp add --transport http apify "https://mcp.apify.com?tools=automation-lab/techmeme-news-scraper" ``` #### Claude Desktop setup Add an HTTP MCP server in Claude Desktop. If your client uses JSON configuration, use the shared configuration below. #### Cursor setup Open Cursor MCP settings and add the Apify server URL with your Apify authentication. #### VS Code setup Add the same HTTP server in VS Code MCP settings and enable it for your chat workspace. #### Desktop, Cursor, and VS Code MCP JSON ```json { "mcpServers": { "apify-techmeme": { "url": "https://mcp.apify.com?tools=automation-lab/techmeme-news-scraper" } } } ``` Example prompts: - β€œRun the Techmeme scraper and list the ten highest-ranked technology stories.” - β€œFind story clusters with coverage from at least five publications.” - β€œCompare the publications covering today’s AI stories.” - β€œReturn Techmeme clusters mentioning cybersecurity companies.” ### Tips for reliable results - Use the homepage for current ranked stories. - Keep `maxItems` close to the amount you consume. - Deduplicate scheduled exports with `clusterId`. - Preserve `sourcePageUrl` for auditability. - Enable related coverage for media analysis. - Disable it for a compact headline-only feed. - Use optional proxy settings only after observing rate limits. - Treat `scrapedAt` as collection time, not article publication time. - Expect rankings and excerpts to change as Techmeme updates stories. ### Error handling The Actor retries a page up to three times with short backoff. It fails clearly when: - The input URL is not HTTPS Techmeme. - Techmeme returns an error or unexpected page. - No primary story records can be parsed. A loud failure is safer than an apparently successful empty dataset for monitoring workflows. Malformed or unsupported URLs are not silently ignored. ### Data freshness The homepage reflects Techmeme's current editorial ranking at request time. The Actor does not cache pages between runs. `scrapedAt` records the UTC extraction time for every row. For change tracking, schedule repeated runs and compare `clusterId`, `rank`, headline, and related coverage downstream. ### Legality and responsible use This Actor extracts publicly accessible pages without bypassing login controls. You are responsible for your use case, request frequency, applicable laws, Techmeme's terms, source-publication rights, and personal-data obligations. Do not republish copyrighted article text or use the tool to overload the source. The output contains links and short page-presented metadata; linked publications have their own terms and rights. ### FAQ #### Does it scrape full article text? No. It extracts Techmeme's headline, editorial excerpt, and links. It does not visit external publications or bypass paywalls. #### Can it scrape historical Techmeme pages? Yes, when you provide a public Techmeme archive or permalink URL that uses the same story markup. #### Why is a publication repeated in related coverage? One outlet may have several distinct articles in a cluster. Each link is preserved. #### Why is `thumbnailUrl` missing? Some Techmeme stories do not display an image. The field is optional. #### Why did my run return fewer items than `maxItems`? `maxItems` is a ceiling. A page may contain fewer primary stories, and duplicate cluster IDs are removed. #### What if a scheduled run is rate-limited? Reduce frequency first. If needed, configure an Apify proxy in the advanced connection section. #### Does `scrapedAt` equal article publication time? No. It is the Actor's extraction timestamp. Techmeme does not reliably expose a primary publication timestamp for every story. ### Troubleshooting #### The run says the page markup changed Open the input URL in a browser and confirm it is a public Techmeme story page. Retry once. If Techmeme changed its HTML structure, share the failed run with the Actor developer. #### My archive URL has no results Confirm the URL resolves to a Techmeme page containing primary story headlines, not an external article or an empty date. #### I see no related links Make sure `includeRelatedCoverage` is true. Some stories naturally have no **More** links. ### Related scrapers Build a broader monitoring stack with other automation-lab Actors: - [Google News Scraper](https://apify.com/automation-lab/google-news-scraper) for keyword-driven news discovery - [Hacker News Scraper](https://apify.com/automation-lab/hacker-news-scraper) for community-ranked technology discussions - [Reddit Scraper](https://apify.com/automation-lab/reddit-scraper) for subreddit and post monitoring - [RSS Feed Scraper](https://apify.com/automation-lab/rss-feed-scraper) for direct publisher feeds Choose Techmeme News Scraper when editorial technology-story clustering and related-source context are central to the workflow. ### Support If you encounter an unexpected result, share the Apify run ID and the Techmeme input URL through the Actor issue form. Do not include private tokens or unrelated sensitive information. A reproducible run helps diagnose source markup changes quickly. # Actor input Schema ## `startUrls` (type: `array`): Techmeme homepage or public Techmeme archive/permalink pages to scrape. ## `maxItems` (type: `integer`): Stop after saving this many unique primary story clusters across all pages. ## `includeRelatedCoverage` (type: `boolean`): Include outlet names and URLs from each story's More coverage cluster. ## `proxyConfiguration` (type: `object`): Optional Apify Proxy configuration. Direct HTTP works by default; use a proxy only if your scheduled runs become rate-limited. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.techmeme.com/" } ], "maxItems": 10, "includeRelatedCoverage": true } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "startUrls": [ { "url": "https://www.techmeme.com/" } ], "maxItems": 10, "includeRelatedCoverage": true }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/techmeme-news-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 = { "startUrls": [{ "url": "https://www.techmeme.com/" }], "maxItems": 10, "includeRelatedCoverage": True, } # Run the Actor and wait for it to finish run = client.actor("automation-lab/techmeme-news-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 '{ "startUrls": [ { "url": "https://www.techmeme.com/" } ], "maxItems": 10, "includeRelatedCoverage": true }' | apify call automation-lab/techmeme-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/techmeme-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Techmeme News Scraper", "description": "πŸ“° Extract ranked Techmeme stories, authors, publications, editorial excerpts, article links, related coverage clusters, thumbnails, and social post URLs.", "version": "0.1", "x-build-id": "Frsnyn9Br1vTbSMAl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~techmeme-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-techmeme-news-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-lab~techmeme-news-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-techmeme-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-lab~techmeme-news-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-techmeme-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "πŸ“° Techmeme pages", "type": "array", "description": "Techmeme homepage or public Techmeme archive/permalink pages to scrape.", "default": [ { "url": "https://www.techmeme.com/" } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum stories", "minimum": 1, "maximum": 500, "type": "integer", "description": "Stop after saving this many unique primary story clusters across all pages.", "default": 25 }, "includeRelatedCoverage": { "title": "πŸ”— Include related coverage", "type": "boolean", "description": "Include outlet names and URLs from each story's More coverage cluster.", "default": true }, "proxyConfiguration": { "title": "🌐 Proxy configuration", "type": "object", "description": "Optional Apify Proxy configuration. Direct HTTP works by default; use a proxy only if your scheduled runs become rate-limited." } } }, "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 } } } } } } } } } } ```