# Free Dictionary (`moving_beacon-owner1/free-dictionary`) Actor Looks up English words and returns definitions, phonetics, synonyms, antonyms, and examples. Useful for writing apps, vocabulary tools, NLP tasks, and auto-generating glossaries. - **URL**: https://apify.com/moving\_beacon-owner1/free-dictionary.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** AI, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## Free Dictionary Actor An Apify Actor that looks up English word definitions, phonetics, synonyms, antonyms, and usage examples. ### What it does Feed it a list of words and get back structured dictionary data — perfect for: - **Writing & education apps** — enrich content with definitions and examples - **Vocabulary builders** — batch-generate word cards with synonyms/antonyms - **NLP pipelines** — gather linguistic data for analysis - **Content tools** — auto-generate glossaries or tooltips ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `words` | `string[]` | *required* | Words to look up (e.g. `["hello", "serendipity"]`) | | `includePhonetics` | `boolean` | `true` | Include phonetic transcriptions and audio URLs | | `includeSynonyms` | `boolean` | `true` | Include synonyms | | `includeAntonyms` | `boolean` | `true` | Include antonyms | | `flattenOutput` | `boolean` | `false` | One row per definition (great for CSV export) | | `maxRetries` | `integer` | `2` | Retries per word on failure (0–5) | #### Example input ```json { "words": ["hello", "serendipity", "ephemeral"], "includeSynonyms": true, "flattenOutput": true } ```` ### Output #### Rich mode (`flattenOutput: false`) — one object per word ```json { "word": "hello", "found": true, "phonetic": "/həˈloʊ/", "phonetics": [ { "text": "/həˈloʊ/", "audio": "https://..." } ], "meanings": [ { "partOfSpeech": "noun", "definitions": [ { "definition": "\"Hello!\" or an equivalent greeting.", "example": "She gave a bright hello." } ], "synonyms": ["greeting"] } ], "sourceUrls": ["https://en.wiktionary.org/wiki/hello"] } ``` #### Flat mode (`flattenOutput: true`) — one row per definition | word | phonetic | partOfSpeech | definition | example | synonyms | antonyms | |------|----------|-------------|------------|---------|----------|----------| | hello | /həˈloʊ/ | noun | "Hello!" or an equivalent greeting. | She gave a bright hello. | greeting | | | hello | /həˈloʊ/ | verb | To greet with "hello". | | | | # Actor input Schema ## `words` (type: `array`): List of English words to look up definitions for. Example: \["hello", "serendipity", "ephemeral"] ## `includePhonetics` (type: `boolean`): Include phonetic transcriptions and audio URLs in results. ## `includeSynonyms` (type: `boolean`): Include synonyms for each definition. ## `includeAntonyms` (type: `boolean`): Include antonyms for each definition. ## `flattenOutput` (type: `boolean`): When enabled, each definition gets its own row in the dataset (useful for CSV/table export). When disabled, each word is a single rich JSON object. ## `maxRetries` (type: `integer`): Number of retries if the API request fails for a word. ## Actor input object example ```json { "words": [ "hello" ], "includePhonetics": true, "includeSynonyms": true, "includeAntonyms": true, "flattenOutput": false, "maxRetries": 2 } ``` # 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 = { "words": [ "hello" ] }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/free-dictionary").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 = { "words": ["hello"] } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/free-dictionary").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 '{ "words": [ "hello" ] }' | apify call moving_beacon-owner1/free-dictionary --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/free-dictionary", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Free Dictionary", "description": "Looks up English words and returns definitions, phonetics, synonyms, antonyms, and examples. Useful for writing apps, vocabulary tools, NLP tasks, and auto-generating glossaries.", "version": "0.0", "x-build-id": "Exqq5HAL1I8TElKtn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~free-dictionary/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-free-dictionary", "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/moving_beacon-owner1~free-dictionary/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-free-dictionary", "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/moving_beacon-owner1~free-dictionary/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-free-dictionary", "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": [ "words" ], "properties": { "words": { "title": "Words to look up", "type": "array", "description": "List of English words to look up definitions for. Example: [\"hello\", \"serendipity\", \"ephemeral\"]", "items": { "type": "string" } }, "includePhonetics": { "title": "Include phonetics", "type": "boolean", "description": "Include phonetic transcriptions and audio URLs in results.", "default": true }, "includeSynonyms": { "title": "Include synonyms", "type": "boolean", "description": "Include synonyms for each definition.", "default": true }, "includeAntonyms": { "title": "Include antonyms", "type": "boolean", "description": "Include antonyms for each definition.", "default": true }, "flattenOutput": { "title": "Flatten output", "type": "boolean", "description": "When enabled, each definition gets its own row in the dataset (useful for CSV/table export). When disabled, each word is a single rich JSON object.", "default": false }, "maxRetries": { "title": "Max retries per word", "minimum": 0, "maximum": 5, "type": "integer", "description": "Number of retries if the API request fails for a word.", "default": 2 } } }, "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 } } } } } } } } } } ```