Fast Pdf Processor

Pricing

$4.99/month + usage

Fast Pdf Processor

This API is a PDF Processing Service allowing users to upload a PDF to: Extract Text: Reads all text from the PDF and returns it as structured JSON data per page. Merge Pages: Creates a new PDF containing only the specific pages selected by the user. (260 characters)

Pricing

$4.99/month + usage

Rating

0.0

(0)

Developer

Andric

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

PDF Processor - Apify Actor Deployment Guide

Overview

This PDF Processor provides four main operations via Apify Actor:

Extract Text - Extract text content from all PDF pages
Merge Pages - Create new PDFs with selected pages only
HTML to PDF - Convert HTML content to PDF using Playwright
URL to PDF - Convert web pages to PDF using Playwright

Files Structure

pdf-processor-actor/
├── main.py                    # Apify Actor wrapper (main entry point)
├── requirements.txt           # Dependencies for Apify deployment
├── requirements_apify.txt     # Alternative requirements file
├── Dockerfile                 # Docker configuration for Apify
├── actor.json                 # Apify Actor configuration
├── INPUT_SCHEMA.json          # Input schema definition
├── apify_input_schema.json   # Legacy input schema
├── apify_output_schema.json  # Output schema definition
├── sample_inputs.json         # Example inputs for testing
├── test_local.py              # Local testing script
├── n8n_workflow_example.json  # n8n integration example
├── n8n_direct_api_workflow.json # n8n direct API workflow
├── QUICK_START.md            # Quick start guide
├── apify.json                # Apify configuration
├── actor/                    # Actor configuration directory
│   ├── actor.json
│   └── dataset_schema.json
└── README.md                  # This file

Deployment Steps

1. Prepare Your Repository

# Create a new directory for your actor
mkdir pdf-processor-actor
cd pdf-processor-actor

# Copy all the provided files
cp /path/to/main.py .
cp /path/to/app.py .
cp /path/to/requirements_apify.txt .
cp /path/to/Dockerfile .
cp /path/to/actor.json .
cp /path/to/apify_input_schema.json .
cp /path/to/apify_output_schema.json .
cp /path/to/sample_inputs.json .

2. Deploy to Apify

Option A: Using Apify CLI

# Install Apify CLI
npm install -g apify-cli

# Login to your Apify account
apify login

# Initialize the actor
apify init

# Push to Apify platform
apify push

Option B: Using GitHub Integration

Push your code to a GitHub repository
Go to Apify Console
Click "Actors" → "Create new"
Choose "From GitHub repository"
Connect your GitHub repo
Apify will automatically build and deploy

3. Configure the Actor

In Apify Console:

Navigate to your actor
Go to "Settings" tab
Set the following:
- Build tag: latest
- Memory: 512 MB (minimum, increase for complex webpages or large PDFs)
- Timeout: 300 seconds (adjust based on PDF size and webpage complexity)

4. Test Your Actor

Go to the "Input" tab
Use one of the sample inputs:

Extract Text:

{
  "action": "extract-text",
  "pdfUrl": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
}

Merge Pages:

{
  "action": "merge-pages",
  "pdfUrl": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf",
  "pageNumbers": [0, 2, 4]
}

HTML to PDF:

{
  "action": "html-to-pdf",
  "html": "<html><body><h1>Hello World</h1><p>This is a test PDF.</p></body></html>"
}

URL to PDF:

{
  "action": "url-to-pdf",
  "pdfUrl": "https://example.com"
}

Click "Run"
Check the output in the "Dataset" tab

Usage Examples

Via Apify API

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')
actor = client.actor('YOUR_USERNAME/pdf-processor')

# Extract text
run = actor.call(run_input={
    "action": "extract-text",
    "pdfUrl": "https://example.com/document.pdf"
})

# HTML to PDF
run = actor.call(run_input={
    "action": "html-to-pdf",
    "html": "<html><body><h1>Invoice</h1><p>Amount: $100</p></body></html>"
})

# URL to PDF
run = actor.call(run_input={
    "action": "url-to-pdf",
    "pdfUrl": "https://example.com"
})

# Get results
dataset = client.dataset(run['defaultDatasetId'])
results = list(dataset.iterate_items())

Via REST API

# Extract text
curl -X POST https://api.apify.com/v2/acts/YOUR_USERNAME~pdf-processor/runs \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "action": "extract-text",
    "pdfUrl": "https://example.com/document.pdf"
  }'

# HTML to PDF
curl -X POST https://api.apify.com/v2/acts/YOUR_USERNAME~pdf-processor/runs \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "action": "html-to-pdf",
    "html": "<html><body><h1>Invoice</h1></body></html>"
  }'

# URL to PDF
curl -X POST https://api.apify.com/v2/acts/YOUR_USERNAME~pdf-processor/runs \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "action": "url-to-pdf", 
    "pdfUrl": "https://example.com"
  }'

Monitoring

Check logs in the "Runs" tab for debugging
Monitor performance in the "Analytics" tab
Set up webhooks for run completion notifications

Cost Estimation

Compute Units:
- Text extraction: ~0.001 CU per page
- Page merging: ~0.002 CU per page
- HTML/URL to PDF: ~0.005-0.02 CU (depends on complexity and load time)
Storage: Minimal for text, ~1 MB per 100 pages for generated PDFs
Bandwidth: Depends on PDF/webpage size (input + output)

Limitations

Maximum PDF size: 100 MB (configurable)
Maximum pages to process: 1000 (configurable)
Timeout: 5 minutes default (configurable)
HTML/URL to PDF: Requires Playwright/Chrome (included in Docker image)
Complex JavaScript sites may need additional wait time

Support

For issues or questions:

Check the actor logs for error details
Verify PDF URL is publicly accessible
Ensure page numbers are within valid range

License

MIT

PDF Scraper

onidivo/pdf-scraper

Scrape and extract text from PDF links.

Onidivo Technologies

463

Extract text from PDF

akash9078/pdf-text-extractor

Efficiently extract text content from PDF files, ideal for data processing, content analysis, and automation workflows. Supports various PDF structures and outputs clean, readable text.

Akash Kumar Naik

PDF Text Extractor

jirimoravcik/pdf-text-extractor

PDF Text Extractor allows you to extract text from PDF files. It also supports chunking of the text to prepare the data for usage with large language models.

Jiří Moravčík

902

5.0

HTML to PDF Converter

jancurn/url-to-pdf

Loads a web page in headless Chrome using Puppeteer and prints it to PDF. The input is a JSON object and output is a PDF file.

Jan Čurn

379

Pdf Text Extractor Pro

dainty_screw/pdf-text-extractor-pro

PDF Text Extractor lets you quickly extract text from PDF files with high accuracy. Supports text chunking for AI, chatbots, and large language models (LLMs), making PDF-to-text conversion fast, clean, and ready for NLP or machine learning.

codemaster devops

5.0

HTML To PDF API

igview-owner/html-to-pdf-api

Convert HTML content and webpage URLs to high-quality PDF documents instantly. HTML to PDF converter with customizable page formats (A4, Letter), scale control, background graphics, and smart waiting for dynamic content. Perfect for reports, documentation, and automated PDF generation workflows.

Sachin Kumar Yadav

HTML to PDF converter

apify/html-to-pdf-converter

Convert HTML string to A4 PDF.

Apify

133

4.3

📑 PDF to HTML Converter Lite – Pay Per Result

microtrica/pdf-to-html-lite

⚡Effortlessly transform ➡️ your PDF documents 📑 into responsive, mobile-friendly 🌐HTML pages. Boost web performance with perfect conversions and seamless browser compatibility. Maximum Pages: 20 per PDF

Microtrica

Convert Image to PDF and PDF to Image

akash9078/image-pdf-converter

Convert images (JPG, PNG, BMP, and more) into high-quality PDFs, or extract images from PDF files in seconds. Image–PDF Converter Pro delivers fast, reliable, and professional results for all your document and image conversion needs.

Akash Kumar Naik