# Meta Ad Library Spy — Winning & Scaled Facebook Ads | $4/1K (`bovi/meta-ads-library-scraper`) Actor Find competitors' WINNING ads, not just ads: is\_scaled flags creatives Meta runs in 3+ variants (the advertiser is spending), plus days\_active & longevity\_score — the signals ad-spy tools charge $99/mo for. Full creatives, CTAs, landing pages. Token-free official Ad Library source. Pay per ad. - **URL**: https://apify.com/bovi/meta-ads-library-scraper.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Marketing, Social media, MCP servers - **Stats:** 4 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 ads 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 ## Meta Ad Library Spy — Winning & Scaled Facebook Ads | $4/1K | No Token, No Login Built for media buyers, ad researchers and growth hackers who don't just want competitors' ads — they want their **WINNING** ads. Every record carries `is_scaled` (Meta grouped 3+ near-duplicate variants → the advertiser is actively spending on it), `collation_count`, `days_active` and `longevity_score`: the exact signals ad-spy SaaS charges $99+/mo for, leading every row. **Pricing: $4.00 per 1,000 ads.** No monthly fees, no token, pay only for delivered ads. Scrape the [Meta Ad Library](https://www.facebook.com/ads/library) (formerly the Facebook Ad Library) **token-free** — no Meta account, no Graph API token, no government-ID verification. Search active and inactive ads by **keyword** or by **advertiser page ID** across any country, and get a clean, flat record per ad: creative copy, headline, call-to-action, destination link, publisher platforms (Facebook, Instagram, Messenger, Audience Network), delivery dates, active status, and **inline image and video creative URLs**. Pay per ad. ### Pricing example **$4.00 per 1,000 ads.** 100 ads = $0.40. 1,000 ads = $4.00. 5,000 ads across 5 countries = $20.00. No per-run fee. No Meta account needed. ### Sample output ```json { "ad_archive_id": "1234567890123456", "page_name": "Nike", "page_id": "15087023", "ad_creative_bodies": ["Just Do It. Shop the new Air Max 2026."], "cta_text": "Shop Now", "link_url": "https://www.nike.com/air-max-2026", "publisher_platforms": ["FACEBOOK", "INSTAGRAM"], "display_format": "image", "is_active": true, "ad_delivery_start_date": "2026-05-01", "days_active": 35, "collation_count": 12, "is_scaled": true, "media_count": 3, "ad_snapshot_url": "https://www.facebook.com/ads/library/?id=1234567890123456", "parse_confidence": 1.0, "scraped_at": "2026-06-05T09:00:00Z" } ```` ### Meta Ad Library Scraper This **Meta Ad Library scraper** reads the same public data the Ad Library website serves to any visitor — the internal search results behind `facebook.com/ads/library`. Because it never touches the official Graph API, your buyers skip the entire onboarding wall: no Meta developer app, no ID verification, no token to generate or rotate. Point it at a keyword or an advertiser and it streams ads in real time. ### Facebook ads data you get per ad | Field | Description | |---|---| | `ad_archive_id` | Unique Ad Library ID | | `ad_snapshot_url` | Direct link to the ad in the Ad Library | | `page_id` / `page_name` | Advertiser page ID and name | | `page_profile_uri` / `page_profile_picture_url` / `page_like_count` | Advertiser profile, avatar, audience size | | `byline` | "Paid for by" / advertiser disclaimer line | | `ad_creative_bodies` | Ad body text(s) | | `ad_creative_link_titles` | Headline/link title(s) | | `ad_creative_link_descriptions` | Link description(s) | | `cta_text` / `cta_type` | Call-to-action button | | `link_url` | Destination URL | | `display_format` | Image / video / carousel / DCO | | `snapshot_images` | Image creative URLs (inline) | | `snapshot_videos` | Video creative URLs (inline) | | `media_count` | Count of inline creative URLs (images + videos) | | `publisher_platforms` | FACEBOOK / INSTAGRAM / MESSENGER / AUDIENCE\_NETWORK / THREADS | | `ad_delivery_start_date` / `ad_delivery_stop_date` | Run dates | | `is_active` / `days_active` / `longevity_score` | Delivery longevity | | `collation_count` / `collation_id` / `is_scaled` | Variant count + a scaled-winner flag | | `spend_*` / `impressions_*` / `reach_estimate` | Ranges (political/issue ads only) | | `categories` / `entity_type` / `contains_sensitive_content` / `state_media_run_label` | Classification & trust signals | | `regional_regulation_data` | EU DSA transparency disclosures | | `parse_confidence` / `warnings` | Data-quality signal | ### How to scrape Facebook ads by keyword or advertiser 1. Enter one or more **search terms** (e.g. `nike`, `weight loss`) and/or **advertiser page IDs**. 2. Pick **countries** (ISO codes; the Ad Library requires a country, default `US`). 3. Optionally filter by **ad type**, **active status**, and **media type**. 4. Set **max ads per search** to control cost, then run. ```json { "searchTerms": ["nike"], "countries": ["US"], "adType": "all", "maxResults": 100 } ``` ### Use cases for Meta Ad Library data - **Find winning creatives fast** — sort by `is_scaled` / `collation_count` (how many variants an advertiser is running) and `days_active` to spot the ads a competitor is actually putting budget behind. - **Competitor ad monitoring** — track which creatives a brand is running and for how long. - **Ad creative research / swipe files** — pull winning ad copy, hooks, and inline media URLs at scale. - **Lead generation** — surface advertisers in a niche by keyword and capture their landing pages. - **Market & trend analysis** — measure ad longevity (`days_active`) as a proxy for what's working. - **Political ad transparency** — for `political_and_issue_ads`, capture spend, impressions, and EU disclosures. ### Why this Facebook Ad Library scraper is reliable - **Token-free** — no Meta login, no ID verification; your buyers run it with zero setup. - **Inline media URLs** — image and video creative links (including every carousel card) come with the data; no per-ad render. Many scrapers hand you only the snapshot URL. - **Self-healing pagination** — Meta rotates its internal `doc_id` roughly monthly, which silently breaks most Ad Library scrapers at page 2. This actor **re-extracts the live `doc_id` from each page it loads**, so pagination keeps working across rotations with no update and no downtime. You can still pin a `docId` manually if you ever want to. - **Scale signal** — `collation_count` / `is_scaled` tell you how many variants of a creative an advertiser is running, so you can rank by what's actually getting budget — not just what exists. - **Resilient parsing** — anchors on stable JSON field names, not CSS classes, and emits `parse_confidence` so structural changes surface loudly instead of shipping blanks. - **Honest metrics** — spend/impressions are returned only when Meta actually publishes them (political/issue ads); commercial ads get `null`, never fabricated numbers. - **Apify Proxy only** — uses the standard residential proxy configuration billed to the run owner; no external proxy account required. ### Frequently asked questions **Do I need a Facebook account or Meta token?** No. This scraper uses the public Ad Library that any visitor can browse. No login, no Graph API token, no ID verification. **Do I get ad spend and impressions?** Spend, impressions, and reach are published by Meta only for **political and issue ads**. Set `adType` to `political_and_issue_ads` to capture them. Commercial ads return copy, media, platforms, and dates — but no reliable spend (we return `null` rather than fabricating numbers). **Why is a residential proxy recommended?** Meta blocks datacenter IPs. On the Apify cloud, enable an Apify **RESIDENTIAL** proxy in the proxy configuration (billed to the run owner) for reliable token-free scraping at volume. **Can I scrape all ads from one advertiser?** Yes — add the advertiser's numeric `pageIds`. **What happens when Meta changes its internal pagination ID?** Nothing on your end. Meta rotates the persisted-query `doc_id` behind the Ad Library every few weeks, which is what quietly breaks many scrapers after page 1. This actor reads the current `doc_id` straight out of the page on every run, so it self-heals through rotations. (Advanced: you can still override it via the `docId` input.) **How do I find the best-performing ads?** Meta doesn't publish engagement for commercial ads, so use the proxies that it does expose: `days_active` (how long an ad has run) and `collation_count` / `is_scaled` (how many variants an advertiser is running). Long-running, heavily-collated creatives are the ones getting budget. ### Winning ad detection workflow Sort by `days_active DESC, collation_count DESC` → ads running longest with most variants = what's actually getting budget. No spend data needed for commercial ads — longevity + variant count are the reliable proxies. ### EU DSA transparency data The `regional_regulation_data` and `state_media_run_label` fields contain EU Digital Services Act transparency disclosures. Market separately to EU compliance and research teams — this is mandatory public data that Meta must expose. ### Use with AI Agents (MCP) This Meta Ad Library scraper is callable as a **tool by AI agents** (Claude Desktop, Cursor, VS Code, n8n, or any MCP-compatible client) via Apify's hosted Model Context Protocol server. ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/meta-ads-library-scraper", "--header", "Authorization: Bearer " ] } } } ``` ### Integrations Built for ad researchers, growth hackers, and competitive-intel teams mining Facebook and Instagram creatives at scale — the JSON/dataset output drops into the tools you already run, no glue code: - **n8n / Make / Zapier** — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: [n8n](https://docs.apify.com/platform/integrations/n8n), [Make](https://docs.apify.com/platform/integrations/make), [Zapier](https://docs.apify.com/platform/integrations/zapier). - **Webhooks** — fire your own endpoint the moment a run finishes, to push results straight into your pipeline ([docs](https://docs.apify.com/platform/integrations/webhooks)). - **MCP server** — expose this actor as a tool to Claude, Cursor, or any [MCP client](https://mcp.apify.com) so an AI agent can pull this data mid-conversation ([guide](https://blog.apify.com/how-to-use-mcp/)). - **API & SDKs** — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs. See all [Apify integrations](https://apify.com/integrations). ### Disclaimer The Meta Ad Library is a public transparency tool. This actor accesses the same publicly available data any visitor can view, without logging in. Respect Meta's terms and applicable law when using the data. # Actor input Schema ## `searchTerms` (type: `array`): Keywords to search ads for (e.g. 'nike', 'weight loss', 'crypto'). Each term runs as a separate query across every country. Leave empty if you only want advertiser page IDs. ## `pageIds` (type: `array`): Numeric Facebook page IDs to pull ALL ads from a specific advertiser. Find a page ID in the Ad Library: open an advertiser and copy the numeric id from the URL. Works alongside or instead of search terms. ## `countries` (type: `array`): Two-letter ISO country codes (e.g. US, GB, DE). The Ad Library requires a country; each is searched separately. Default: US. ## `adType` (type: `string`): all = commercial + everything; political\_and\_issue\_ads = only political/issue ads, which additionally carry spend & impressions ranges. ## `activeStatus` (type: `string`): Filter ads by whether they are currently running. 'all' returns both active and inactive ads. ## `mediaType` (type: `string`): Filter by creative format. 'all' keeps every format (image, video, carousel, text). ## `matchType` (type: `string`): broad = ads containing the words in any order; exact = the exact phrase. Applies to search-term queries only. ## `maxResults` (type: `integer`): Maximum ads to return per search term / page ID per country. The actor paginates automatically. Default 100. Keep low to control cost. ## `pageSize` (type: `integer`): How many ads to push per batch for real-time output. Lower = faster first results; higher = fewer dataset writes. ## `docId` (type: `string`): Meta's persisted-query id for the Ad Library pagination query. LEAVE EMPTY: the actor self-heals by re-extracting the live doc\_id from each page, so it survives Meta's ~monthly rotation automatically. Only set this to force a specific id (overrides self-healing). ## `proxyConfiguration` (type: `object`): Apify Proxy. RECOMMENDED on the cloud: Meta blocks datacenter IPs, so enable a RESIDENTIAL group for token-free scraping at volume. Billed to the run owner — no external proxy account needed. ## Actor input object example ```json { "searchTerms": [ "nike", "adidas" ], "countries": [ "US" ], "adType": "all", "activeStatus": "all", "mediaType": "all", "matchType": "broad", "maxResults": 100, "pageSize": 25, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "searchTerms": [ "nike" ], "countries": [ "US" ], "maxResults": 100, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/meta-ads-library-scraper").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 = { "searchTerms": ["nike"], "countries": ["US"], "maxResults": 100, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("bovi/meta-ads-library-scraper").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 '{ "searchTerms": [ "nike" ], "countries": [ "US" ], "maxResults": 100, "proxyConfiguration": { "useApifyProxy": false } }' | apify call bovi/meta-ads-library-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/meta-ads-library-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Meta Ad Library Spy — Winning & Scaled Facebook Ads | $4/1K", "description": "Find competitors' WINNING ads, not just ads: is_scaled flags creatives Meta runs in 3+ variants (the advertiser is spending), plus days_active & longevity_score — the signals ad-spy tools charge $99/mo for. Full creatives, CTAs, landing pages. Token-free official Ad Library source. Pay per ad.", "version": "0.1", "x-build-id": "xlTDagXg3Q2AILrK7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~meta-ads-library-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-meta-ads-library-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/bovi~meta-ads-library-scraper/runs": { "post": { "operationId": "runs-sync-bovi-meta-ads-library-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/bovi~meta-ads-library-scraper/run-sync": { "post": { "operationId": "run-sync-bovi-meta-ads-library-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": { "searchTerms": { "title": "Search terms", "type": "array", "description": "Keywords to search ads for (e.g. 'nike', 'weight loss', 'crypto'). Each term runs as a separate query across every country. Leave empty if you only want advertiser page IDs.", "items": { "type": "string" } }, "pageIds": { "title": "Advertiser page IDs", "type": "array", "description": "Numeric Facebook page IDs to pull ALL ads from a specific advertiser. Find a page ID in the Ad Library: open an advertiser and copy the numeric id from the URL. Works alongside or instead of search terms.", "items": { "type": "string" } }, "countries": { "title": "Countries (ISO codes)", "type": "array", "description": "Two-letter ISO country codes (e.g. US, GB, DE). The Ad Library requires a country; each is searched separately. Default: US.", "default": [ "US" ], "items": { "type": "string" } }, "adType": { "title": "Ad type / category", "enum": [ "all", "political_and_issue_ads" ], "type": "string", "description": "all = commercial + everything; political_and_issue_ads = only political/issue ads, which additionally carry spend & impressions ranges.", "default": "all" }, "activeStatus": { "title": "Active status", "enum": [ "all", "active", "inactive" ], "type": "string", "description": "Filter ads by whether they are currently running. 'all' returns both active and inactive ads.", "default": "all" }, "mediaType": { "title": "Media type", "enum": [ "all", "image", "video", "meme", "none" ], "type": "string", "description": "Filter by creative format. 'all' keeps every format (image, video, carousel, text).", "default": "all" }, "matchType": { "title": "Keyword match type", "enum": [ "broad", "exact" ], "type": "string", "description": "broad = ads containing the words in any order; exact = the exact phrase. Applies to search-term queries only.", "default": "broad" }, "maxResults": { "title": "Max ads per search", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum ads to return per search term / page ID per country. The actor paginates automatically. Default 100. Keep low to control cost.", "default": 100 }, "pageSize": { "title": "Streaming batch size", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many ads to push per batch for real-time output. Lower = faster first results; higher = fewer dataset writes.", "default": 25 }, "docId": { "title": "Pagination doc_id (advanced — leave empty)", "type": "string", "description": "Meta's persisted-query id for the Ad Library pagination query. LEAVE EMPTY: the actor self-heals by re-extracting the live doc_id from each page, so it survives Meta's ~monthly rotation automatically. Only set this to force a specific id (overrides self-healing)." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy. RECOMMENDED on the cloud: Meta blocks datacenter IPs, so enable a RESIDENTIAL group for token-free scraping at volume. Billed to the run owner — no external proxy account needed.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```