# Data to PDF Report Generator (`woundless_yellowwood/data-to-pdf-report-generator`) Actor Convert JSON or CSV data into a professional PDF report with 3 templates. No external APIs required. Supports tables, charts, headers and custom branding. Free plan ready. - **URL**: https://apify.com/woundless\_yellowwood/data-to-pdf-report-generator.md - **Developed by:** [Proyecto Apify](https://apify.com/woundless_yellowwood) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Data-to-PDF Report Generator Convert JSON or CSV data into a professional, ready-to-share PDF report. No external APIs, no code to touch. ### How it works 1. Select the data source: paste JSON or CSV, provide a URL, or reference a Dataset from another Apify Actor. 2. Pick a template: simple table, table with bar chart, or executive summary with KPIs. 3. Customize brand color and logo (optional). 4. Run the Actor and download the PDF from the Key-Value Store. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `dataSource` | string | `direct_json` | `direct_json`, `direct_csv`, `url`, or `apify_dataset` | | `dataContent` | string | `""` | JSON or CSV pasted directly | | `dataUrl` | string | `""` | URL to a JSON or CSV file | | `datasetId` | string | `""` | ID of an Apify Dataset | | `reportTitle` | string | `"Data Report"` | PDF title | | `template` | string | `table_with_chart` | `simple_table`, `table_with_chart`, or `executive_summary` | | `brandColor` | string | `"#1a73e8"` | Brand color in hex | | `logoUrl` | string | `""` | Image URL for the logo | | `pageSize` | string | `"A4"` | `Letter` or `A4` | #### Example input (JSON) ```json { "dataSource": "direct_json", "dataContent": "[{\"name\":\"Ana\",\"sales\":4500},{\"name\":\"Luis\",\"sales\":3200},{\"name\":\"Maria\",\"sales\":5800}]", "reportTitle": "Q1 Sales Report", "template": "table_with_chart", "brandColor": "#0d47a1", "pageSize": "A4" } ```` #### Example input (CSV) ```json { "dataSource": "direct_csv", "dataContent": "product,price,stock\nLaptop,12999,45\nMouse,299,120\nKeyboard,599,80", "reportTitle": "Inventory Report", "template": "executive_summary" } ``` ### Output The Actor emits one record to the output Dataset: | Field | Description | |-------|-------------| | `status` | `"success"` or `"error"` | | `pdfUrl` | Public URL to download the PDF | | `fileName` | Generated PDF file name | | `rows` | Number of processed rows | | `columns` | Number of detected columns | | `generatedAt` | ISO timestamp of generation | #### Example output ```json { "status": "success", "title": "Q1 Sales Report", "template": "table_with_chart", "rows": 3, "columns": 2, "pdfUrl": "https://api.apify.com/v2/key-value-stores/.../records/Q1_Sales_Report.pdf", "fileName": "Q1_Sales_Report.pdf", "generatedAt": "2026-07-18T12:00:00.000Z" } ``` ### Available templates - **Simple table**: Clean table with all rows and columns. Ideal for straightforward tabular data. - **Table + Bar chart**: Full table plus a Chart.js bar chart for the first numeric column detected (bundled locally, no CDN). - **Executive summary with KPIs**: Cards showing total, sums, averages, min, max, and unique values, followed by a table with the first 25 rows. ### Technical notes - No external API keys or cloud services required. - Chart.js is installed as a local dependency and embedded inline in the HTML (no CDN dependency). - PDF is rendered with Puppeteer (`page.pdf()`) directly inside the Actor. - Stored in the Key-Value Store with its public URL returned in the Dataset. - Supports up to 10,000 records from Apify Datasets (automatic pagination). # Actor input Schema ## `dataSource` (type: `string`): Where the data comes from. ## `dataContent` (type: `string`): Paste your JSON (array of objects) or CSV content here. ## `dataUrl` (type: `string`): Public URL to a JSON or CSV file. ## `datasetId` (type: `string`): ID of an Apify Dataset from another Actor (e.g. dataset-abc123). ## `reportTitle` (type: `string`): Title that will appear on the PDF cover. ## `template` (type: `string`): Select the visual style for the report. ## `brandColor` (type: `string`): Primary color in hex format (e.g. #1a73e8). ## `logoUrl` (type: `string`): URL to a PNG/JPG image to display as the report logo. ## `pageSize` (type: `string`): Paper size for the PDF. ## Actor input object example ```json { "dataSource": "direct_json", "dataContent": "", "dataUrl": "", "datasetId": "", "reportTitle": "Data Report", "template": "table_with_chart", "brandColor": "#1a73e8", "logoUrl": "", "pageSize": "A4" } ``` # 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("woundless_yellowwood/data-to-pdf-report-generator").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("woundless_yellowwood/data-to-pdf-report-generator").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 woundless_yellowwood/data-to-pdf-report-generator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=woundless_yellowwood/data-to-pdf-report-generator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Data to PDF Report Generator", "description": "Convert JSON or CSV data into a professional PDF report with 3 templates. No external APIs required. Supports tables, charts, headers and custom branding. Free plan ready.", "version": "1.0", "x-build-id": "2uY3rZhiHQf5Pxoxn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/woundless_yellowwood~data-to-pdf-report-generator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-woundless_yellowwood-data-to-pdf-report-generator", "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/woundless_yellowwood~data-to-pdf-report-generator/runs": { "post": { "operationId": "runs-sync-woundless_yellowwood-data-to-pdf-report-generator", "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/woundless_yellowwood~data-to-pdf-report-generator/run-sync": { "post": { "operationId": "run-sync-woundless_yellowwood-data-to-pdf-report-generator", "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": [ "dataSource", "reportTitle", "template" ], "properties": { "dataSource": { "title": "Data source", "enum": [ "direct_json", "direct_csv", "url", "apify_dataset" ], "type": "string", "description": "Where the data comes from.", "default": "direct_json" }, "dataContent": { "title": "Data (JSON or CSV)", "type": "string", "description": "Paste your JSON (array of objects) or CSV content here.", "default": "" }, "dataUrl": { "title": "File URL", "type": "string", "description": "Public URL to a JSON or CSV file.", "default": "" }, "datasetId": { "title": "Apify Dataset ID", "type": "string", "description": "ID of an Apify Dataset from another Actor (e.g. dataset-abc123).", "default": "" }, "reportTitle": { "title": "Report title", "type": "string", "description": "Title that will appear on the PDF cover.", "default": "Data Report" }, "template": { "title": "Design template", "enum": [ "simple_table", "table_with_chart", "executive_summary" ], "type": "string", "description": "Select the visual style for the report.", "default": "table_with_chart" }, "brandColor": { "title": "Brand color", "type": "string", "description": "Primary color in hex format (e.g. #1a73e8).", "default": "#1a73e8" }, "logoUrl": { "title": "Logo URL", "type": "string", "description": "URL to a PNG/JPG image to display as the report logo.", "default": "" }, "pageSize": { "title": "Page size", "enum": [ "Letter", "A4" ], "type": "string", "description": "Paper size for the PDF.", "default": "A4" } } }, "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 } } } } } } } } } } ```