# API Integration Toolkit (`moving_beacon-owner1/my-actor-67`) Actor A Swiss-army knife for API developers. Convert between API formats with production-grade, well-documented output code. - **URL**: https://apify.com/moving\_beacon-owner1/my-actor-67.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Automation, Developer tools, Integrations - **Stats:** 1 total users, 0 monthly users, 0.0% 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 ## 🔗 API Integration Toolkit — Apify Actor A Swiss-army knife for API developers. Convert between API formats with production-grade, well-documented output code. ### 🚀 What It Does | Conversion | Input | Output | |---|---|---| | **Postman → Python** | Postman Collection v2.1 JSON | Full Python module with `requests.Session`, retry logic, auth | | **cURL → Python** | cURL command string | Clean `requests` code with error handling | | **cURL → JavaScript** | cURL command string | Modern `fetch()` with async/await and AbortSignal | | **GraphQL → REST** | GraphQL query/mutation JSON | REST-equivalent Python code with endpoint mapping | | **JSON → API Docs** | Any JSON API response | Markdown documentation with field table, types, examples | | **Batch All** | Uses built-in samples | Runs ALL 5 conversions and outputs each | ### ⚡ Quick Start 1. **Run with defaults** — The actor ships with working sample data for every conversion type. Just click **Start** and it produces output immediately. 2. **Paste your own data** — Replace the `input_data` field with your Postman JSON, cURL command, GraphQL query, or JSON response. 3. **Customize** — Toggle error handling, type hints, docstrings, timeout values, and retry logic via the input form. ### 📥 Input Schema | Field | Type | Default | Description | |---|---|---|---| | `conversion_type` | enum | `curl_to_python` | Which conversion to run | | `input_data` | string | *(sample cURL)* | Source data to convert | | `add_error_handling` | boolean | `true` | Wrap code in try/except or try/catch | | `add_type_hints` | boolean | `true` | Python type annotations | | `add_docstrings` | boolean | `true` | Docstrings / JSDoc comments | | `timeout_seconds` | integer | `30` | HTTP timeout in generated code | | `max_retries` | integer | `3` | Retry attempts in generated code | | `base_url_override` | string | `""` | Replace detected base URLs | | `output_format` | enum | `full` | `full` / `code_only` / `documented` | | `save_to_key_value_store` | boolean | `true` | Save as downloadable files | ### 📤 Output #### Dataset Each conversion produces a record with: - `conversion_type` — which conversion ran - `status` — `success` or `error` - `output` — the generated code - `output_language` — `python` / `javascript` / `markdown` - `timestamp` — ISO 8601 - `settings` — the options used (in `full` mode) #### Key-Value Store When `save_to_key_value_store` is enabled, each conversion saves a downloadable file: - `postman_to_python.py` - `curl_to_python.py` - `curl_to_javascript.js` - `graphql_to_rest.py` - `json_to_api_docs.md` ### 🛠 Generated Code Features The Python output includes: - `requests.Session` with configurable retry via `urllib3.Retry` - `HTTPAdapter` with exponential backoff - Proper `raise_for_status()` handling - Structured logging with `logging` module - Full type hints (`dict[str, Any]`, `Optional`, etc.) - Google-style docstrings - `if __name__ == "__main__":` execution blocks The JavaScript output includes: - Modern `async/await` with `fetch()` - `AbortSignal.timeout()` for request timeouts - Granular error classification (timeout, network, HTTP) - JSDoc comments ### 📋 Example API Call ```json { "conversion_type": "curl_to_python", "input_data": "curl -X GET 'https://api.github.com/repos/apify/apify-sdk-python' -H 'Accept: application/vnd.github.v3+json'", "add_error_handling": true, "add_type_hints": true, "timeout_seconds": 15 } ```` ### 📁 Project Structure ``` ├── .actor/ │ └── actor.json ## Actor metadata & dataset views ├── src/ │ ├── __init__.py │ ├── __main__.py ## Entry point │ └── main.py ## All conversion engines + Actor logic ├── INPUT_SCHEMA.json ## Input form with defaults ├── Dockerfile ├── requirements.txt └── README.md ``` ### License ISC # Actor input Schema ## `conversion_type` (type: `string`): Select which API format conversion to perform. ## `input_data` (type: `string`): Paste your source data here (Postman JSON, cURL command, GraphQL query, or JSON response). Leave empty to use the built-in sample for the selected conversion type. ## `add_error_handling` (type: `boolean`): Wrap generated code in try/except (Python) or try/catch (JS) blocks with retry logic and logging. ## `add_type_hints` (type: `boolean`): Include Python type hints and return type annotations in generated functions. ## `add_docstrings` (type: `boolean`): Include comprehensive docstrings (Python) or JSDoc comments (JS) for every function. ## `timeout_seconds` (type: `integer`): Default timeout value to set in generated HTTP request code. ## `max_retries` (type: `integer`): Number of retry attempts to include in generated error-handling code. ## `base_url_override` (type: `string`): Replace detected base URLs with this value. Leave empty to use URLs from the input data. ## `output_format` (type: `string`): How to structure the output in the dataset and key-value store. ## `save_to_key_value_store` (type: `boolean`): Save generated code as downloadable files in the actor's key-value store. ## `proxy_configuration` (type: `object`): Optional proxy settings if the generated code should include proxy configuration. ## Actor input object example ```json { "conversion_type": "curl_to_python", "input_data": "curl -X POST 'https://api.example.com/v1/messages' \\\n -H 'Content-Type: application/json' \\\n -H 'Authorization: Bearer sk-ant-api03-xxxxx' \\\n -H 'X-Request-Id: req_12345' \\\n -d '{\n \"model\": \"claude-sonnet-4-20250514\",\n \"max_tokens\": 1024,\n \"system\": \"You are a helpful assistant.\",\n \"messages\": [\n {\"role\": \"user\", \"content\": \"Explain quantum computing in simple terms\"}\n ]\n }'", "add_error_handling": true, "add_type_hints": true, "add_docstrings": true, "timeout_seconds": 30, "max_retries": 3, "base_url_override": "", "output_format": "full", "save_to_key_value_store": true, "proxy_configuration": {} } ``` # 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 = { "conversion_type": "curl_to_python", "input_data": `curl -X POST 'https://api.example.com/v1/messages' \ -H 'Content-Type: application/json' \ -H 'Authorization: Bearer sk-ant-api03-xxxxx' \ -H 'X-Request-Id: req_12345' \ -d '{ "model": "claude-sonnet-4-20250514", "max_tokens": 1024, "system": "You are a helpful assistant.", "messages": [ {"role": "user", "content": "Explain quantum computing in simple terms"} ] }'`, "add_error_handling": true, "add_type_hints": true, "add_docstrings": true, "timeout_seconds": 30, "max_retries": 3, "base_url_override": "", "output_format": "full", "save_to_key_value_store": true, "proxy_configuration": {} }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/my-actor-67").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 = { "conversion_type": "curl_to_python", "input_data": """curl -X POST 'https://api.example.com/v1/messages' \\ -H 'Content-Type: application/json' \\ -H 'Authorization: Bearer sk-ant-api03-xxxxx' \\ -H 'X-Request-Id: req_12345' \\ -d '{ \"model\": \"claude-sonnet-4-20250514\", \"max_tokens\": 1024, \"system\": \"You are a helpful assistant.\", \"messages\": [ {\"role\": \"user\", \"content\": \"Explain quantum computing in simple terms\"} ] }'""", "add_error_handling": True, "add_type_hints": True, "add_docstrings": True, "timeout_seconds": 30, "max_retries": 3, "base_url_override": "", "output_format": "full", "save_to_key_value_store": True, "proxy_configuration": {}, } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/my-actor-67").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 '{ "conversion_type": "curl_to_python", "input_data": "curl -X POST '\''https://api.example.com/v1/messages'\'' \\\\\\n -H '\''Content-Type: application/json'\'' \\\\\\n -H '\''Authorization: Bearer sk-ant-api03-xxxxx'\'' \\\\\\n -H '\''X-Request-Id: req_12345'\'' \\\\\\n -d '\''{\\n \\"model\\": \\"claude-sonnet-4-20250514\\",\\n \\"max_tokens\\": 1024,\\n \\"system\\": \\"You are a helpful assistant.\\",\\n \\"messages\\": [\\n {\\"role\\": \\"user\\", \\"content\\": \\"Explain quantum computing in simple terms\\"}\\n ]\\n }'\''", "add_error_handling": true, "add_type_hints": true, "add_docstrings": true, "timeout_seconds": 30, "max_retries": 3, "base_url_override": "", "output_format": "full", "save_to_key_value_store": true, "proxy_configuration": {} }' | apify call moving_beacon-owner1/my-actor-67 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/my-actor-67", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "API Integration Toolkit", "description": "A Swiss-army knife for API developers. Convert between API formats with production-grade, well-documented output code.", "version": "0.0", "x-build-id": "tinLhPtkIX5Ru1zFF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~my-actor-67/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-my-actor-67", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~my-actor-67/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-my-actor-67", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~my-actor-67/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-my-actor-67", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "conversion_type" ], "properties": { "conversion_type": { "title": "Conversion Type", "enum": [ "postman_to_python", "curl_to_python", "curl_to_javascript", "graphql_to_rest", "json_to_api_docs", "batch_all" ], "type": "string", "description": "Select which API format conversion to perform.", "default": "curl_to_python" }, "input_data": { "title": "Input Data", "type": "string", "description": "Paste your source data here (Postman JSON, cURL command, GraphQL query, or JSON response). Leave empty to use the built-in sample for the selected conversion type.", "default": "curl -X POST 'https://api.example.com/v1/messages' \\\n -H 'Content-Type: application/json' \\\n -H 'Authorization: Bearer sk-ant-api03-xxxxx' \\\n -H 'X-Request-Id: req_12345' \\\n -d '{\n \"model\": \"claude-sonnet-4-20250514\",\n \"max_tokens\": 1024,\n \"system\": \"You are a helpful assistant.\",\n \"messages\": [\n {\"role\": \"user\", \"content\": \"Explain quantum computing in simple terms\"}\n ]\n }'" }, "add_error_handling": { "title": "Add Error Handling", "type": "boolean", "description": "Wrap generated code in try/except (Python) or try/catch (JS) blocks with retry logic and logging.", "default": true }, "add_type_hints": { "title": "Add Type Hints (Python)", "type": "boolean", "description": "Include Python type hints and return type annotations in generated functions.", "default": true }, "add_docstrings": { "title": "Add Docstrings / JSDoc", "type": "boolean", "description": "Include comprehensive docstrings (Python) or JSDoc comments (JS) for every function.", "default": true }, "timeout_seconds": { "title": "Request Timeout (seconds)", "minimum": 5, "maximum": 300, "type": "integer", "description": "Default timeout value to set in generated HTTP request code.", "default": 30 }, "max_retries": { "title": "Max Retries", "minimum": 0, "maximum": 10, "type": "integer", "description": "Number of retry attempts to include in generated error-handling code.", "default": 3 }, "base_url_override": { "title": "Base URL Override", "type": "string", "description": "Replace detected base URLs with this value. Leave empty to use URLs from the input data.", "default": "" }, "output_format": { "title": "Output Format", "enum": [ "full", "code_only", "documented" ], "type": "string", "description": "How to structure the output in the dataset and key-value store.", "default": "full" }, "save_to_key_value_store": { "title": "Save to Key-Value Store", "type": "boolean", "description": "Save generated code as downloadable files in the actor's key-value store.", "default": true }, "proxy_configuration": { "title": "Proxy Configuration", "type": "object", "description": "Optional proxy settings if the generated code should include proxy configuration.", "default": {} } } }, "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 } } } } } } } } } } ```