# Chuck Norris Facts Scraper - Jokes & Quotes (`lulzasaur/chucknorris-scraper`) Actor Scrape Chuck Norris jokes and facts. Search by keyword, browse by category, or get random jokes from the Chuck Norris API. - **URL**: https://apify.com/lulzasaur/chucknorris-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Chuck Norris Facts Scraper - Jokes & Quotes Scrape Chuck Norris jokes and facts from the Chuck Norris API. Get random jokes, search by keyword, or browse by category. Returns structured joke data with unique IDs and permalink URLs. ### Features - **Random jokes**: Fetch a batch of unique random Chuck Norris facts - **Search**: Find jokes containing specific keywords (minimum 3 characters) - **By category**: Get jokes from specific categories (dev, science, sport, etc.) - **Deduplication**: Automatically ensures unique jokes in random/category modes - **16 categories**: Animal, Career, Celebrity, Dev, Explicit, Fashion, Food, History, Money, Movie, Music, Political, Religion, Science, Sport, Travel ### Output Fields | Field | Description | |-------|-------------| | `id` | Unique joke ID | | `value` | The joke/fact text | | `categories` | Array of categories this joke belongs to | | `iconUrl` | Chuck Norris icon URL | | `url` | Permalink to this joke | | `scrapedAt` | ISO timestamp | ### Input Options - **Mode**: `random` (batch of random jokes), `search` (by keyword), or `category` (by category) - **Search Query**: Keyword to search for (min 3 chars, used in search mode) - **Category**: Category filter (animal, career, celebrity, dev, etc.) - **Count**: Number of jokes to fetch (default 10, max 100) ### Use Cases - **Entertainment apps**: Add humor to chatbots, apps, or websites - **Social media**: Generate Chuck Norris content for posts - **Slack/Discord bots**: Power joke-of-the-day bots - **Content creation**: Collect themed jokes for articles or videos - **API testing**: Use as a fun test dataset for API development ### Example Output ```json { "id": "xwv_sBFaQSqy-jZlQd0eGg", "value": "Chuck Norris can divide by zero.", "categories": ["dev"], "iconUrl": "https://api.chucknorris.io/img/avatar/chuck-norris.png", "url": "https://api.chucknorris.io/jokes/xwv_sBFaQSqy-jZlQd0eGg", "scrapedAt": "2026-04-26T12:00:00.000Z" } ```` ### Data Source - [Chuck Norris API](https://api.chucknorris.io/) - Free JSON API for hand curated Chuck Norris facts *** ### Run on Apify This scraper runs on the [Apify platform](https://apify.com/?fpr=lulzasaur) -- a full-stack web scraping and automation cloud. Sign up for a free account to get started with 30-day trial of all features. [Try Apify free](https://apify.com/?fpr=lulzasaur) # Actor input Schema ## `mode` (type: `string`): How to fetch jokes: random batch, search by keyword, or filter by category. ## `searchQuery` (type: `string`): Keyword to search for (used in 'search' mode). Minimum 3 characters. ## `category` (type: `string`): Category to filter by (used in 'category' mode). ## `count` (type: `integer`): Number of random jokes to fetch (for 'random' and 'category' modes). ## `proxyConfiguration` (type: `object`): Optional proxy to use. ## Actor input object example ```json { "mode": "random", "searchQuery": "", "category": "dev", "count": 10 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/chucknorris-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 = {} # Run the Actor and wait for it to finish run = client.actor("lulzasaur/chucknorris-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 '{}' | apify call lulzasaur/chucknorris-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/chucknorris-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Chuck Norris Facts Scraper - Jokes & Quotes", "description": "Scrape Chuck Norris jokes and facts. Search by keyword, browse by category, or get random jokes from the Chuck Norris API.", "version": "1.0", "x-build-id": "chKtDEc6B9HCn4Jq5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~chucknorris-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-chucknorris-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~chucknorris-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-chucknorris-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~chucknorris-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-chucknorris-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "random", "search", "category" ], "type": "string", "description": "How to fetch jokes: random batch, search by keyword, or filter by category.", "default": "random" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword to search for (used in 'search' mode). Minimum 3 characters.", "default": "" }, "category": { "title": "Category", "enum": [ "animal", "career", "celebrity", "dev", "explicit", "fashion", "food", "history", "money", "movie", "music", "political", "religion", "science", "sport", "travel" ], "type": "string", "description": "Category to filter by (used in 'category' mode).", "default": "dev" }, "count": { "title": "Count", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of random jokes to fetch (for 'random' and 'category' modes).", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy to use." } } }, "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 } } } } } } } } } } ```