# Artifact Hub Packages Scraper (`automation-lab/artifact-hub-packages-scraper`) Actor Extract Artifact Hub package metadata for Helm charts and cloud-native packages, including versions, publishers, security signals, signing, links, and containers. - **URL**: https://apify.com/automation-lab/artifact-hub-packages-scraper.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% 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.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 ## Artifact Hub Packages Scraper Extract Artifact Hub package metadata from public JSON APIs for Helm charts and other cloud-native packages. Artifact Hub is where Kubernetes, platform engineering, and cloud-native teams discover Helm charts, operators, policies, plugins, and integrations. This actor turns Artifact Hub search and package detail data into clean Apify datasets you can export, monitor, enrich, or plug into security and vendor-intelligence workflows. ### What does Artifact Hub Packages Scraper do? Artifact Hub Packages Scraper searches Artifact Hub and saves structured package records. It can collect: - ๐Ÿ“ฆ Package names, IDs, Artifact Hub URLs, and API URLs - ๐Ÿท๏ธ Package kind, category, repository, and organization metadata - โญ Stars and production organization adoption counts - ๐Ÿ” Security report severity summaries - โœ๏ธ Signing, signature, deprecation, and verified publisher signals - ๐Ÿงฉ Keywords, home URLs, links, content URLs, and digest values - ๐Ÿณ Container image metadata exposed by Artifact Hub details - ๐Ÿงพ Optional README text and available versions lists ### Who is it for? This scraper is built for teams that need repeatable Artifact Hub package intelligence. - ๐Ÿง‘โ€๐Ÿ’ป DevOps engineers tracking Helm chart options - ๐Ÿ—๏ธ Platform engineering teams comparing package publishers - ๐Ÿ›ก๏ธ Cloud security teams monitoring signing and vulnerability signals - ๐Ÿ“Š Vendor-intelligence teams mapping cloud-native ecosystems - ๐Ÿงช Data teams building internal catalogs of Kubernetes packages - ๐Ÿค– Automation teams feeding package metadata into alerts or dashboards ### Why use this scraper? Artifact Hub is searchable in a browser, but recurring analysis needs structured data. This actor helps you: - Export Artifact Hub search results as JSON, CSV, Excel, or Parquet - Monitor package deprecation and signing signals over time - Compare repositories and publishers across package categories - Feed package metadata into BI, SIEM, or governance workflows - Avoid writing custom pagination and detail-enrichment scripts ### Data you can extract | Field group | Example fields | | --- | --- | | Package identity | `packageId`, `name`, `normalizedName`, `packageUrl`, `apiUrl` | | Repository | `repositoryName`, `repositoryDisplayName`, `repositoryUrl`, `repositoryId` | | Publisher | `organizationName`, `organizationDisplayName`, `verifiedPublisher`, `officialRepository` | | Versioning | `version`, `appVersion`, `availableVersionsCount`, optional `availableVersions` | | Popularity | `stars`, `productionOrganizationsCount` | | Security | `securityCritical`, `securityHigh`, `securityMedium`, `securityLow`, `securityUnknown` | | Supply chain | `deprecated`, `signed`, `signatures`, `containersImages`, `digest`, `contentUrl` | | Metadata | `description`, `keywords`, `homeUrl`, `links`, `artifactHubUpdatedAt`, `scrapedAt` | ### How much does it cost to scrape Artifact Hub packages? This actor uses **pay-per-event** pricing. - Run start: **$0.005** per run. - Package item: charged only when a dataset record is saved. - The default input caps the first run to a small, predictable number of packages. | Apify plan tier | Package item price | 1,000 packages | | --- | ---: | ---: | | Free | $0.000034312 | $0.0343 | | Starter / Bronze | $0.000029837 | $0.0298 | | Scale / Silver | $0.000023273 | $0.0233 | | Business / Gold | $0.000017902 | $0.0179 | | Platinum | $0.000011935 | $0.0119 | | Diamond | $0.000010000 | $0.0100 | You can control cost with `maxItems`, by limiting `searchQueries`, and by turning off detail enrichment for broad discovery runs. ### How to scrape Artifact Hub packages 1. Open Artifact Hub Packages Scraper on Apify. 2. Add one or more search queries, such as `nginx`, `postgresql`, or `prometheus`. 3. Choose a package kind, usually `Helm charts`. 4. Set `maxItems` to the number of package records you need. 5. Keep detail enrichment enabled if you need links, keywords, containers, or version counts. 6. Run the actor. 7. Export the dataset or connect it to your automation pipeline. ### Input configuration #### `searchQueries` List of Artifact Hub keywords to search. Examples: - `nginx` - `postgresql` - `prometheus` - `security` - `ingress controller` #### `packageUrls` Specific Artifact Hub package URLs or refs to enrich directly. Examples: - `https://artifacthub.io/packages/helm/bitnami/nginx` - `helm/bitnami/postgresql` #### `packageKind` The package kind filter for search mode. Supported values include Helm charts, Falco rules, OPA policies, OLM operators, Krew plugins, Tekton tasks, KEDA scalers, containers, and all kinds. #### `maxItems` Maximum package records to save across direct package URLs and search results. #### `enrichDetails` When enabled, the actor fetches each package detail JSON endpoint. Detail enrichment adds richer metadata but uses one extra HTTP request per package. #### `includeReadme` When enabled, the actor includes the full package README. Keep this disabled unless you need documentation text, because README fields can be large. #### `includeAvailableVersions` When enabled, the actor includes full version objects. Keep this disabled unless you need version-level history. ### Example input ```json { "searchQueries": ["nginx", "postgresql"], "packageKind": "helm", "maxItems": 100, "enrichDetails": true, "includeReadme": false, "includeAvailableVersions": false } ```` ### Example output ```json { "packageId": "bec45f52-fe90-46a1-b6eb-a3dcd9bb203f", "packageUrl": "https://artifacthub.io/packages/helm/bitnami/nginx", "apiUrl": "https://artifacthub.io/api/v1/packages/helm/bitnami/nginx", "name": "nginx", "packageKind": "helm", "repositoryDisplayName": "Bitnami", "organizationDisplayName": "Bitnami", "version": "25.0.13", "appVersion": "1.31.2", "stars": 106, "deprecated": false, "signed": true, "securityCritical": 0, "securityHigh": 0, "productionOrganizationsCount": 2, "scrapedAt": "2026-07-07T00:00:00.000Z" } ``` ### Detail enrichment strategy Search results already include useful fields such as name, description, version, stars, repository, signing, deprecation, and security summary. Detail enrichment adds fields that usually matter for deeper workflows: - Keywords - Home URL - Links - Content URL - Digest - Container image list - Available version count - Optional README ### Tips for reliable runs - Start with one or two search terms and `maxItems` under 100. - Use specific project names for focused results. - Use `packageUrls` when you already know the packages you want to monitor. - Disable README and full available versions unless you need large text/history fields. - Schedule daily or weekly runs for package monitoring workflows. ### Integrations and workflows #### Security monitoring Run the actor on critical package lists and alert when `deprecated`, `signed`, or security severity counts change. #### Platform catalog enrichment Join package records with your internal service catalog to show approved chart sources, versions, and repository verification flags. #### Vendor intelligence Track repositories, organizations, verified publishers, and production organization counts for cloud-native ecosystem research. #### BI dashboards Export the dataset to Google Sheets, BigQuery, Snowflake, or your warehouse through Apify integrations. ### API usage #### Node.js ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor('automation-lab/artifact-hub-packages-scraper').call({ searchQueries: ['nginx'], packageKind: 'helm', maxItems: 100, enrichDetails: true }); console.log(run.defaultDatasetId); ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient('YOUR_APIFY_TOKEN') run = client.actor('automation-lab/artifact-hub-packages-scraper').call(run_input={ 'searchQueries': ['nginx'], 'packageKind': 'helm', 'maxItems': 100, 'enrichDetails': True, }) print(run['defaultDatasetId']) ``` #### cURL ```bash curl -X POST 'https://api.apify.com/v2/acts/automation-lab~artifact-hub-packages-scraper/runs?token=YOUR_APIFY_TOKEN' \ -H 'Content-Type: application/json' \ -d '{"searchQueries":["nginx"],"packageKind":"helm","maxItems":100,"enrichDetails":true}' ``` ### MCP usage Use this actor from Claude through the Apify MCP server. Setup for Claude Code: ```bash claude mcp add --transport http apify "https://mcp.apify.com/?tools=automation-lab/artifact-hub-packages-scraper" ``` Setup for Claude Desktop, Cursor, or VS Code: ```json { "mcpServers": { "apify": { "url": "https://mcp.apify.com/?tools=automation-lab/artifact-hub-packages-scraper" } } } ``` Example prompts: - "Scrape Artifact Hub Helm packages for nginx and summarize signing status." - "Find PostgreSQL Helm charts and list verified publishers." - "Monitor these Artifact Hub package URLs and report deprecated packages." ### Scheduling the scraper Artifact Hub package metadata changes over time as charts update, publishers change, and security reports refresh. Useful schedules: - Daily for critical package allowlists - Weekly for platform catalog refreshes - Monthly for broad vendor-intelligence snapshots ### Data quality notes The actor reads Artifact Hub public API responses. Empty or missing fields usually mean Artifact Hub did not expose that value for a package. The `scrapedAt` field is the collection timestamp. The `artifactHubUpdatedAt` field comes from Artifact Hub package metadata when available. ### Performance notes This is an HTTP/API actor. It does not launch a browser and does not require a proxy for normal operation. Detail enrichment performs one additional request per package. For very broad searches, increase `maxItems` gradually and disable optional large fields unless needed. ### Legality and responsible use Artifact Hub package pages and JSON endpoints are publicly accessible. Use the scraper responsibly, respect Artifact Hub availability, and only process data for legitimate business, research, security, or engineering workflows. You are responsible for how you use exported data and for complying with applicable laws and policies. ### FAQ **How fast is Artifact Hub Packages Scraper?** Most HTTP-only runs finish quickly. A 120-package run with detail enrichment completed in about 10 seconds during validation. **Does this actor need an Artifact Hub API key?** No. It uses Artifact Hub public JSON endpoints that are available without login, browser automation, or a paid API key. **How much does an Artifact Hub scraping run cost?** Cost depends on saved package records. The actor charges a small run-start event plus a low per-package item event shown in the pricing table above. **Why did I get fewer records than `maxItems`?** Artifact Hub may return fewer matching packages for your query and package kind. Try broader keywords or set `packageKind` to `all`. #### Why are README or versions missing? `includeReadme` and `includeAvailableVersions` are disabled by default to keep rows compact. Enable them when you need those fields. #### Why are some security fields empty? Artifact Hub does not expose complete security summaries for every package. Missing values reflect the upstream API response. ### Related scrapers Explore other Automation Lab actors for cloud, developer, and security workflows: - https://apify.com/automation-lab/github-repositories-scraper - https://apify.com/automation-lab/docker-hub-scraper - https://apify.com/automation-lab/website-contact-finder ### Changelog #### 0.1 Initial version with Artifact Hub search, direct package URL enrichment, Helm-first defaults, security/signing metadata, repository metadata, and optional README/version fields. ### Support If you need a new Artifact Hub field, a different output shape, or a workflow-specific integration, open an issue on the Apify actor page with an example package URL and desired output. # Actor input Schema ## `searchQueries` (type: `array`): Artifact Hub package keywords to search, such as chart names, vendors, projects, or technologies. ## `packageUrls` (type: `array`): Optional Artifact Hub package URLs or kind/repository/name refs to enrich directly, e.g. https://artifacthub.io/packages/helm/bitnami/nginx or helm/bitnami/nginx. ## `packageKind` (type: `string`): Limit search results by Artifact Hub package kind. Use All kinds for broader cloud-native discovery. ## `maxItems` (type: `integer`): Maximum package records to save across direct URLs and search results. ## `enrichDetails` (type: `boolean`): Fetch one detail JSON request per package to add keywords, links, content URLs, container images, digests, and available version counts. ## `includeReadme` (type: `boolean`): Include the full package README from detail JSON. Turn on only when you need chart documentation text because it can make dataset rows large. ## `includeAvailableVersions` (type: `boolean`): Include version objects from Artifact Hub detail JSON instead of only availableVersionsCount. ## Actor input object example ```json { "searchQueries": [ "nginx", "postgresql" ], "packageUrls": [ "https://artifacthub.io/packages/helm/bitnami/nginx" ], "packageKind": "helm", "maxItems": 20, "enrichDetails": true, "includeReadme": false, "includeAvailableVersions": false } ``` # 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 = { "searchQueries": [ "nginx", "postgresql" ], "packageUrls": [ "https://artifacthub.io/packages/helm/bitnami/nginx" ], "packageKind": "helm", "maxItems": 20, "enrichDetails": true, "includeReadme": false, "includeAvailableVersions": false }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/artifact-hub-packages-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "searchQueries": [ "nginx", "postgresql", ], "packageUrls": ["https://artifacthub.io/packages/helm/bitnami/nginx"], "packageKind": "helm", "maxItems": 20, "enrichDetails": True, "includeReadme": False, "includeAvailableVersions": False, } # Run the Actor and wait for it to finish run = client.actor("automation-lab/artifact-hub-packages-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "nginx", "postgresql" ], "packageUrls": [ "https://artifacthub.io/packages/helm/bitnami/nginx" ], "packageKind": "helm", "maxItems": 20, "enrichDetails": true, "includeReadme": false, "includeAvailableVersions": false }' | apify call automation-lab/artifact-hub-packages-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/artifact-hub-packages-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Artifact Hub Packages Scraper", "description": "Extract Artifact Hub package metadata for Helm charts and cloud-native packages, including versions, publishers, security signals, signing, links, and containers.", "version": "0.1", "x-build-id": "ugFjgGE4MDuw2gRCI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~artifact-hub-packages-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-artifact-hub-packages-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-lab~artifact-hub-packages-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-artifact-hub-packages-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-lab~artifact-hub-packages-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-artifact-hub-packages-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Artifact Hub package keywords to search, such as chart names, vendors, projects, or technologies.", "items": { "type": "string" } }, "packageUrls": { "title": "Package URLs or refs", "type": "array", "description": "Optional Artifact Hub package URLs or kind/repository/name refs to enrich directly, e.g. https://artifacthub.io/packages/helm/bitnami/nginx or helm/bitnami/nginx.", "items": { "type": "string" } }, "packageKind": { "title": "Package kind", "enum": [ "helm", "all", "falco", "opa", "olm", "tinkerbell", "krew", "helm-plugin", "tekton-task", "keda-scaler", "coredns", "keptn", "tekton-pipeline", "container" ], "type": "string", "description": "Limit search results by Artifact Hub package kind. Use All kinds for broader cloud-native discovery.", "default": "helm" }, "maxItems": { "title": "Maximum packages", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum package records to save across direct URLs and search results.", "default": 20 }, "enrichDetails": { "title": "Fetch package detail pages", "type": "boolean", "description": "Fetch one detail JSON request per package to add keywords, links, content URLs, container images, digests, and available version counts.", "default": true }, "includeReadme": { "title": "Include README text", "type": "boolean", "description": "Include the full package README from detail JSON. Turn on only when you need chart documentation text because it can make dataset rows large.", "default": false }, "includeAvailableVersions": { "title": "Include available versions list", "type": "boolean", "description": "Include version objects from Artifact Hub detail JSON instead of only availableVersionsCount.", "default": 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 } } } } } } } } } } ```