# BlitzAPI - HTTP Request (`blitzapi/blitz-api-apify`) Actor The simplest way to make HTTP requests to any BlitzAPI endpoint. Handles GET/POST automatically based on your input. Perfect for integrating Blitz enrichment data into Apify, Make, Clay, or Zapier workflows. - **URL**: https://apify.com/blitzapi/blitz-api-apify.md - **Developed by:** [BlitzAPI](https://apify.com/blitzapi) (community) - **Categories:** Automation, Lead generation, Integrations - **Stats:** 16 total users, 3 monthly users, 100.0% runs succeeded, 5 bookmarks - **User rating**: No ratings yet ## Pricing $1.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## Blitz API Proxy – Universal Gateway for All Blitz Endpoints Access any Blitz API endpoint through Apify with zero configuration. **Transparent responses, automatic GET/POST handling, and built-in security validation.** --- ### 🌟 Why use this Actor? - ⚑ **Universal access** β†’ Use any Blitz API endpoint (enrichment, search, validation) in one Actor - πŸ”„ **Smart routing** β†’ Automatically uses GET or POST based on your input - πŸ”’ **Secure by default** β†’ Only allows requests to the official Blitz API domain - πŸ“¦ **Apify-native** β†’ Seamlessly integrates with Apify workflows, schedules, and monitoring - πŸ”Œ **Zero wrapper** β†’ Returns API responses exactly as received (transparent proxy) - πŸ›‘οΈ **Validated** β†’ Input validation ensures correct API key and path format --- ### πŸš€ Use cases - **Workflow automation**: Integrate Blitz API into Clay, Make.com, Zapier, N8N workflows - **API orchestration**: Chain multiple Blitz API calls in Apify workflows - **Scheduled enrichment**: Run Blitz API calls on a schedule using Apify's scheduling - **Rate limiting**: Leverage Apify's built-in rate limiting and retry mechanisms - **Monitoring**: Track API usage and responses through Apify's dashboard - **Multi-endpoint access**: Use one Actor for all Blitz API endpoints --- ### πŸ”‘ Input ```json { "path": "/api/enrichment/email", "blitz_api_key": "your-blitz-api-key", "body": { "linkedin_profile_url": "https://www.linkedin.com/in/antoine-blitz-5581b7373" } } ```` - `path` (string, required): The Blitz API endpoint path (e.g., `/api/enrichment/email`) or full URL (e.g., `https://api.blitz-api.ai/api/enrichment/email`) - `blitz_api_key` (string, required): Your Blitz API key for authentication - `body` (object, optional): Request body. If provided, request is sent as POST. If omitted, request is sent as GET. *** ### πŸ“€ Output #### Success Response (2xx) Returns the API response data directly, exactly as the Blitz API would return it: ```json { "found": true, "email": "antoine@blitz-agency.com", "all_emails": [ { "email_address": "antoine@blitz-agency.com", "job_order_in_profile": 1, "company_linkedin_url": "https://www.linkedin.com/company/blitz-api", "email_domain": "blitz-agency.com" } ] } ``` #### Error Response (non-2xx) Returns status code and error message: ```json { "status": 401, "message": "Missing API key, please provide a valid API key in the 'x-api-key' header" } ``` *** ### πŸ’° Pricing - **Pay per Blitz API usage** β†’ Pricing follows Blitz API credit costs per endpoint - **No additional fees** β†’ Only pay for the Blitz API credits you use - **Transparent costs** β†’ See Blitz API pricing at [api.blitz-api.ai](https://api.blitz-api.ai) *** ### πŸ”₯ Why Choose This Actor? Get **universal access to all Blitz API endpoints** through Apify with **zero configuration overhead**.\ Works seamlessly with **Clay, Make.com, Zapier, N8N, HubSpot, Salesforce**.\ Perfect for **developers, growth engineers, and RevOps teams** who want to integrate Blitz API into their automation workflows. ⚑ **One Actor, all endpointsβ€”simple, secure, and scalable.** *** ### πŸ“ˆ Keywords blitz api proxy, blitz api integration, apify blitz api, blitz api automation, blitz api workflow, blitz enrichment proxy, blitz api gateway, universal api proxy, apify api gateway *** ### ⚑ Quick Start 1. Add this Actor to your Apify console 2. Provide your Blitz API key and endpoint path 3. Add request body if making a POST request (optional for GET) 4. Run β†’ Get API response directly 5. Integrate β†’ Use in workflows, schedules, or external platforms πŸš€ *** βœ… **Perfect for developers, growth engineers, and RevOps teams looking to integrate Blitz API into their Apify workflows and automation platforms.** # Actor input Schema ## `url` (type: `string`): The Blitz API endpoint path (e.g., '/api/enrichment/email') or full URL (e.g., 'https://api.blitz-api.ai/api/enrichment/email') ## `blitz_api_key` (type: `string`): Your Blitz API key for authentication ## `body` (type: `object`): Optional request body. If provided, the request will be sent as POST. If omitted, the request will be sent as GET. ## Actor input object example ```json { "url": "https://api.blitz-api.ai/api/enrichment/email" } ``` # 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 = { "url": "https://api.blitz-api.ai/api/enrichment/email" }; // Run the Actor and wait for it to finish const run = await client.actor("blitzapi/blitz-api-apify").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "url": "https://api.blitz-api.ai/api/enrichment/email" } # Run the Actor and wait for it to finish run = client.actor("blitzapi/blitz-api-apify").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "url": "https://api.blitz-api.ai/api/enrichment/email" }' | apify call blitzapi/blitz-api-apify --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blitzapi/blitz-api-apify", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BlitzAPI - HTTP Request", "description": "The simplest way to make HTTP requests to any BlitzAPI endpoint. Handles GET/POST automatically based on your input. Perfect for integrating Blitz enrichment data into Apify, Make, Clay, or Zapier workflows.", "version": "0.0", "x-build-id": "Zk7Kk7VZp7s78KEVK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blitzapi~blitz-api-apify/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blitzapi-blitz-api-apify", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blitzapi~blitz-api-apify/runs": { "post": { "operationId": "runs-sync-blitzapi-blitz-api-apify", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blitzapi~blitz-api-apify/run-sync": { "post": { "operationId": "run-sync-blitzapi-blitz-api-apify", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "url", "blitz_api_key" ], "properties": { "url": { "title": "API Path or URL", "type": "string", "description": "The Blitz API endpoint path (e.g., '/api/enrichment/email') or full URL (e.g., 'https://api.blitz-api.ai/api/enrichment/email')" }, "blitz_api_key": { "title": "Blitz API Key", "type": "string", "description": "Your Blitz API key for authentication" }, "body": { "title": "Request Body", "type": "object", "description": "Optional request body. If provided, the request will be sent as POST. If omitted, the request will be sent as GET." } } }, "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 } } } } } } } } } } ```