# Splunkbase Scraper (`crawlerbros/splunkbase-scraper`) Actor Scrape Splunkbase - Splunk's official app marketplace. Search apps by query or category, or fetch specific apps by ID. Returns title, description, downloads, version, author, rating, categories, compatible Splunk versions, license, and more. - **URL**: https://apify.com/crawlerbros/splunkbase-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Splunkbase Scraper Scrape [Splunkbase](https://splunkbase.splunk.com) — Splunk's official app and add-on marketplace. Search apps by query or category, or fetch specific apps by ID. Returns title, description, download count, version, author, categories, compatible Splunk versions, license info, compliance flags, and more. ### What this actor does - **Two modes:** `search` (browse/filter by query + category) and `getById` (lookup by app ID) - **Search filters:** free-text query, category filter (25 categories) - **Enriched metadata:** per-app detail and release history fetched automatically - **Real data:** download counts, version, compatible Splunk versions, compliance flags (FedRAMP, FIPS), cloud compatibility - **Empty fields omitted** — no nulls in output ### Output per app | Field | Description | |---|---| | `id` | Splunkbase numeric app ID (uid) | | `appid` | App identifier string (e.g. `Splunk_TA_aws`) | | `title` | App display title | | `description` | Full app description | | `appType` | App type (`app` or `addon`) | | `appAuthor` | Developer/vendor name | | `categories` | Array of category strings | | `downloads` | Total download count | | `version` | Latest version string | | `splunkVersions` | Compatible Splunk product versions | | `cimVersions` | Compatible CIM versions | | `licenseName` | License type | | `licenseUrl` | License URL | | `access` | Access level (`unrestricted` or restricted) | | `cloudCompatible` | Whether app is Splunk Cloud compatible | | `fedrampValidation` | FedRAMP validation status | | `fipsCompatibility` | FIPS 140-2 compliant | | `archiveStatus` | App status (`live`, `flagged`, etc.) | | `isArchived` | Whether app is archived | | `installMethodSingle` | Install method for single instance | | `installMethodDistributed` | Install method for distributed deployment | | `createdAt` | Creation date (ISO 8601) | | `updatedAt` | Last update date (ISO 8601) | | `publishedAt` | Publication date (ISO 8601) | | `iconUrl` | App icon CDN URL | | `storeUrl` | Splunkbase page URL | | `sourceUrl` | Splunkbase canonical URL | | `recordType` | Always `"app"` | | `scrapedAt` | UTC ISO scrape timestamp | ### Input | Field | Type | Default | Description | |---|---|---|---| | `mode` | string | `search` | `search` or `getById` | | `query` | string | `aws` | Search query (mode=search) | | `category` | select | — | Filter by category (mode=search) | | `appIds` | array | — | Integer app IDs (mode=getById) | | `maxItems` | integer | `100` | Hard cap on results (1–10000) | #### Categories available `Artificial Intelligence`, `Business Analytics`, `DevOps`, `Directory Service`, `Email`, `Endpoint`, `Firewall`, `Generic`, `Identity Management`, `Information`, `Investigative`, `IoT & Industrial Data`, `IT Operations`, `Network Access Control`, `Network Device`, `Network Security`, `Reputation`, `Sandbox`, `Security, Fraud & Compliance`, `SIEM`, `Threat Intel`, `Ticketing`, `Utilities`, `Virtualization`, `Vulnerability Scanner` ### Example inputs #### Search for AWS-related apps ```json { "mode": "search", "query": "aws", "maxItems": 20 } ```` #### Browse Security apps ```json { "mode": "search", "category": "Security, Fraud & Compliance", "maxItems": 50 } ``` #### Get specific apps by ID ```json { "mode": "getById", "appIds": [1876, 3435] } ``` ### Example output record ```json { "id": 1876, "appid": "Splunk_TA_aws", "title": "Splunk Add-on for Amazon Web Services (AWS)", "description": "Comprehensive AWS data integration for Splunk...", "appType": "addon", "appAuthor": "Splunk LLC", "categories": ["IT Operations", "Security, Fraud & Compliance"], "downloads": 1150943, "version": "8.1.2", "splunkVersions": ["10.4", "10.3", "10.2", "10.1", "10.0"], "licenseName": "Splunk General Terms", "cloudCompatible": true, "fedrampValidation": "yes", "fipsCompatibility": true, "storeUrl": "https://splunkbase.splunk.com/app/1876/", "recordType": "app", "scrapedAt": "2026-05-30T10:00:00+00:00" } ``` ### FAQ **Does this require a Splunk account?** No. Splunkbase's public REST API (`/api/v1/app/`) is accessible without authentication for public apps. **Does it use proxies?** No proxies are needed. The Splunkbase API returns JSON from standard datacenter IPs. **What's the difference between `app` and `addon`?** Splunk "apps" are full applications with dashboards and UI. "Add-ons" are technology add-ons (TAs) that provide data inputs and field extractions without a standalone UI. **How do I find an app's ID?** Look at the Splunkbase URL: `splunkbase.splunk.com/app/1876/` — the number is the ID. **How many apps can I scrape?** Splunkbase has 3,000+ apps. Set `maxItems` up to 10,000 for a full crawl. **Are rating/review fields included?** The API returns rating data when available. Many apps have no reviews, so these fields are omitted when empty. # Actor input Schema ## `mode` (type: `string`): What to fetch. ## `query` (type: `string`): Free-text search query (mode=search). Leave blank to browse all apps. ## `category` (type: `string`): Filter by app category (mode=search). ## `appIds` (type: `array`): List of Splunkbase app integer IDs (e.g. \[1876, 3435]). ## `maxItems` (type: `integer`): Hard cap on emitted records (1–10000). ## Actor input object example ```json { "mode": "search", "query": "aws", "category": "", "appIds": [], "maxItems": 100 } ``` # Actor output Schema ## `apps` (type: `string`): Dataset containing all scraped Splunkbase apps. # 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 = { "mode": "search", "query": "aws", "category": "", "appIds": [], "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/splunkbase-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 = { "mode": "search", "query": "aws", "category": "", "appIds": [], "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/splunkbase-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 '{ "mode": "search", "query": "aws", "category": "", "appIds": [], "maxItems": 100 }' | apify call crawlerbros/splunkbase-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/splunkbase-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Splunkbase Scraper", "description": "Scrape Splunkbase - Splunk's official app marketplace. Search apps by query or category, or fetch specific apps by ID. Returns title, description, downloads, version, author, rating, categories, compatible Splunk versions, license, and more.", "version": "1.0", "x-build-id": "DBRAUgJSVmIUCvQfa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~splunkbase-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-splunkbase-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/crawlerbros~splunkbase-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-splunkbase-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/crawlerbros~splunkbase-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-splunkbase-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "getById" ], "type": "string", "description": "What to fetch.", "default": "search" }, "query": { "title": "Search query", "type": "string", "description": "Free-text search query (mode=search). Leave blank to browse all apps." }, "category": { "title": "Category filter", "enum": [ "", "Artificial Intelligence", "Business Analytics", "DevOps", "Directory Service", "Email", "Endpoint", "Firewall", "Generic", "Identity Management", "Information", "Investigative", "IoT & Industrial Data", "IT Operations", "Network Access Control", "Network Device", "Network Security", "Reputation", "Sandbox", "Security, Fraud & Compliance", "SIEM", "Threat Intel", "Ticketing", "Utilities", "Virtualization", "Vulnerability Scanner" ], "type": "string", "description": "Filter by app category (mode=search).", "default": "" }, "appIds": { "title": "App IDs (mode=getById)", "type": "array", "description": "List of Splunkbase app integer IDs (e.g. [1876, 3435]).", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Hard cap on emitted records (1–10000).", "default": 100 } } }, "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 } } } } } } } } } } ```