# Premium Resume Builder (`moving_beacon-owner1/my-actor-60`) Actor Premium Resume Builder Generate stunning, ATS-friendly PDF resumes from structured JSON data. Choose from 3 premium templates and download the PDF instantly. - **URL**: https://apify.com/moving\_beacon-owner1/my-actor-60.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Jobs, Developer tools, Automation - **Stats:** 3 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 ## ๐Ÿ“„ Premium Resume Builder Generate stunning, ATS-friendly PDF resumes from structured JSON data. Choose from **3 premium templates** and download the PDF instantly. --- ### โœจ Templates | ## | Name | Style | |---|---|---| | 1 | **Midnight Executive** | Dark navy sidebar ยท Gold accents ยท Corporate elegance | | 2 | **Ocean Breeze** | Teal gradient sidebar ยท Clean, modern, fresh | | 3 | **Minimal Luxe** | No sidebar ยท Purple accents ยท Understated power | --- ### ๐Ÿš€ Quick Start #### Minimal Input ```json { "templateId": "1", "fullName": "Jane Smith", "professionalTitle": "Product Manager", "email": "jane@example.com", "phone": "+1 555-123-4567", "location": "New York, NY", "summary": "Product manager with 5 years of experience shipping B2B SaaS products.", "experience": [ { "company": "Acme Corp", "role": "Senior Product Manager", "dates": "Jan 2022 โ€“ Present", "location": "New York, NY", "desc": "Led roadmap for $10M ARR product line;Shipped 3 major features increasing retention by 25%" } ], "education": [ { "school": "MIT", "degree": "B.S. Computer Science", "dates": "2014 โ€“ 2018" } ], "skills": ["Product Strategy", "SQL", "Figma", "Agile", "A/B Testing"] } ```` *** ### ๐Ÿ“ฆ Output #### Key-Value Store The generated PDF is stored in the default key-value store with key `resume-{name}`. Download it from the **Key-Value Store** tab after the run completes. #### Dataset Record ```json { "fullName": "Jane Smith", "template": "1 โ€” Midnight Executive", "filename": "resume_jane_smith.pdf", "fileSizeBytes": 24567, "pdfUrl": "https://api.apify.com/v2/key-value-stores/.../records/resume-jane_smith", "generatedAt": "2025-01-15T10:30:00.000Z", "sections": { "hasExperience": true, "experienceCount": 1, "skillsCount": 5 } } ``` *** ### ๐Ÿ“ Input Reference | Field | Type | Required | Description | |---|---|---|---| | `templateId` | string | No | `"1"`, `"2"`, or `"3"` (default: `"1"`) | | `fullName` | string | **Yes** | Your full name | | `professionalTitle` | string | **Yes** | Job title / headline | | `email` | string | **Yes** | Email address | | `phone` | string | No | Phone number | | `location` | string | No | City, Country | | `linkedin` | string | No | LinkedIn URL | | `github` | string | No | GitHub / Portfolio URL | | `summary` | string | No | 2-3 sentence professional summary | | `experience` | array | No | Work entries (see format below) | | `education` | array | No | Education entries | | `skills` | array | No | List of skill strings | | `certifications` | array | No | List of certification strings | | `languages` | array | No | List of language strings | | `projects` | array | No | Project entries | #### Experience Entry Format ```json { "company": "Company Name", "role": "Job Title", "dates": "Jan 2022 โ€“ Present", "location": "City, State", "desc": "Achievement 1;Achievement 2;Achievement 3" } ``` Separate achievements with `;` (semicolons). #### Education Entry Format ```json { "school": "University Name", "degree": "Degree & Field", "dates": "2018 โ€“ 2022", "details": "Honors, GPA, Notes" } ``` #### Project Entry Format ```json { "name": "Project Name", "desc": "Brief description", "tech": "Python, React, AWS" } ``` ### ๐ŸŽฏ Use Cases - **Job boards** โ€” Let users generate resumes from profile data - **HR platforms** โ€” Batch-generate candidate resumes - **Career services** โ€” Offer resume creation as a feature - **Personal use** โ€” Generate your own polished resume via API # Actor input Schema ## `templateId` (type: `string`): Choose a resume design template. ## `fullName` (type: `string`): Your full name as it should appear on the resume. ## `professionalTitle` (type: `string`): Your job title or professional headline. ## `email` (type: `string`): Your email address. ## `phone` (type: `string`): Your phone number. ## `location` (type: `string`): City, Country. ## `linkedin` (type: `string`): Your LinkedIn profile URL (optional). ## `github` (type: `string`): Your GitHub or portfolio URL (optional). ## `summary` (type: `string`): A 2-3 sentence professional summary. ## `experience` (type: `array`): List of work experience entries. Each entry: {"company": "...", "role": "...", "dates": "...", "location": "...", "desc": "Achievement 1;Achievement 2;Achievement 3"} ## `education` (type: `array`): List of education entries. Each entry: {"school": "...", "degree": "...", "dates": "...", "details": "..."} ## `skills` (type: `array`): List of skills as strings. ## `certifications` (type: `array`): List of certifications as strings. ## `languages` (type: `array`): List of languages as strings, e.g. 'English (Native)'. ## `projects` (type: `array`): List of project entries. Each entry: {"name": "...", "desc": "...", "tech": "..."} ## Actor input object example ```json { "templateId": "1", "fullName": "Alexandra Chen", "professionalTitle": "Senior Full-Stack Engineer", "email": "alex.chen@email.com", "phone": "+1 (415) 892-7643", "location": "San Francisco, CA", "summary": "Passionate full-stack engineer with 8+ years building scalable distributed systems and leading high-performing engineering teams.", "experience": [ { "company": "Stripe", "role": "Senior Staff Engineer", "dates": "Jan 2023 โ€“ Present", "location": "San Francisco, CA", "desc": "Architected payment pipeline handling 14M+ transactions daily;Led team of 12 engineers delivering migration 6 weeks early;Designed fraud detection system reducing chargebacks by 34%" } ], "education": [ { "school": "Stanford University", "degree": "M.S. Computer Science", "dates": "2015 โ€“ 2017", "details": "Focus: Distributed Systems ยท GPA 3.94/4.0" } ], "skills": [ "Python", "TypeScript", "React", "AWS", "Docker", "PostgreSQL" ] } ``` # 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 = { "fullName": "Alexandra Chen", "professionalTitle": "Senior Full-Stack Engineer", "email": "alex.chen@email.com", "phone": "+1 (415) 892-7643", "location": "San Francisco, CA", "summary": "Passionate full-stack engineer with 8+ years building scalable distributed systems and leading high-performing engineering teams.", "experience": [ { "company": "Stripe", "role": "Senior Staff Engineer", "dates": "Jan 2023 โ€“ Present", "location": "San Francisco, CA", "desc": "Architected payment pipeline handling 14M+ transactions daily;Led team of 12 engineers delivering migration 6 weeks early;Designed fraud detection system reducing chargebacks by 34%" } ], "education": [ { "school": "Stanford University", "degree": "M.S. Computer Science", "dates": "2015 โ€“ 2017", "details": "Focus: Distributed Systems ยท GPA 3.94/4.0" } ], "skills": [ "Python", "TypeScript", "React", "AWS", "Docker", "PostgreSQL" ] }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/my-actor-60").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "fullName": "Alexandra Chen", "professionalTitle": "Senior Full-Stack Engineer", "email": "alex.chen@email.com", "phone": "+1 (415) 892-7643", "location": "San Francisco, CA", "summary": "Passionate full-stack engineer with 8+ years building scalable distributed systems and leading high-performing engineering teams.", "experience": [{ "company": "Stripe", "role": "Senior Staff Engineer", "dates": "Jan 2023 โ€“ Present", "location": "San Francisco, CA", "desc": "Architected payment pipeline handling 14M+ transactions daily;Led team of 12 engineers delivering migration 6 weeks early;Designed fraud detection system reducing chargebacks by 34%", }], "education": [{ "school": "Stanford University", "degree": "M.S. Computer Science", "dates": "2015 โ€“ 2017", "details": "Focus: Distributed Systems ยท GPA 3.94/4.0", }], "skills": [ "Python", "TypeScript", "React", "AWS", "Docker", "PostgreSQL", ], } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/my-actor-60").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "fullName": "Alexandra Chen", "professionalTitle": "Senior Full-Stack Engineer", "email": "alex.chen@email.com", "phone": "+1 (415) 892-7643", "location": "San Francisco, CA", "summary": "Passionate full-stack engineer with 8+ years building scalable distributed systems and leading high-performing engineering teams.", "experience": [ { "company": "Stripe", "role": "Senior Staff Engineer", "dates": "Jan 2023 โ€“ Present", "location": "San Francisco, CA", "desc": "Architected payment pipeline handling 14M+ transactions daily;Led team of 12 engineers delivering migration 6 weeks early;Designed fraud detection system reducing chargebacks by 34%" } ], "education": [ { "school": "Stanford University", "degree": "M.S. Computer Science", "dates": "2015 โ€“ 2017", "details": "Focus: Distributed Systems ยท GPA 3.94/4.0" } ], "skills": [ "Python", "TypeScript", "React", "AWS", "Docker", "PostgreSQL" ] }' | apify call moving_beacon-owner1/my-actor-60 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/my-actor-60", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Premium Resume Builder", "description": "Premium Resume Builder\nGenerate stunning, ATS-friendly PDF resumes from structured JSON data. Choose from 3 premium templates and download the PDF instantly.", "version": "0.0", "x-build-id": "33Ds9b8bz27q2KXWQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~my-actor-60/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-my-actor-60", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~my-actor-60/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-my-actor-60", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~my-actor-60/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-my-actor-60", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "fullName", "professionalTitle", "email" ], "properties": { "templateId": { "title": "Template", "enum": [ "1", "2", "3" ], "type": "string", "description": "Choose a resume design template.", "default": "1" }, "fullName": { "title": "Full Name", "type": "string", "description": "Your full name as it should appear on the resume." }, "professionalTitle": { "title": "Professional Title", "type": "string", "description": "Your job title or professional headline." }, "email": { "title": "Email", "type": "string", "description": "Your email address." }, "phone": { "title": "Phone", "type": "string", "description": "Your phone number." }, "location": { "title": "Location", "type": "string", "description": "City, Country." }, "linkedin": { "title": "LinkedIn URL", "type": "string", "description": "Your LinkedIn profile URL (optional)." }, "github": { "title": "GitHub / Portfolio URL", "type": "string", "description": "Your GitHub or portfolio URL (optional)." }, "summary": { "title": "Professional Summary", "type": "string", "description": "A 2-3 sentence professional summary." }, "experience": { "title": "Work Experience", "type": "array", "description": "List of work experience entries. Each entry: {\"company\": \"...\", \"role\": \"...\", \"dates\": \"...\", \"location\": \"...\", \"desc\": \"Achievement 1;Achievement 2;Achievement 3\"}" }, "education": { "title": "Education", "type": "array", "description": "List of education entries. Each entry: {\"school\": \"...\", \"degree\": \"...\", \"dates\": \"...\", \"details\": \"...\"}" }, "skills": { "title": "Skills", "type": "array", "description": "List of skills as strings." }, "certifications": { "title": "Certifications (optional)", "type": "array", "description": "List of certifications as strings." }, "languages": { "title": "Languages (optional)", "type": "array", "description": "List of languages as strings, e.g. 'English (Native)'." }, "projects": { "title": "Projects (optional)", "type": "array", "description": "List of project entries. Each entry: {\"name\": \"...\", \"desc\": \"...\", \"tech\": \"...\"}" } } }, "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 } } } } } } } } } } ```