Why PDF Text Extractor — Clean Text from PDF Files?
Extract clean text content from PDF files with metadata extraction.
Whether you're building data pipelines, monitoring competitors, or creating AI training datasets, this tool handles the heavy lifting — no infrastructure required.
Key Features
- Fast and reliable extraction
- Structured JSON output
- Easy API integration
- Cloud-based scraping
Use Cases
- Document digitization
- Research paper text extraction
- Invoice and receipt OCR
- Legal document processing
How It Works
- Input: Provide URLs, search terms, or feed links depending on the actor
- Processing: The actor crawls, extracts, and structures the data
- Output: Clean JSON with all fields normalized and ready to use
Quick Start
Option 1: Apify Store
👉 Try PDF Text Extractor — Clean Text from PDF Files on Apify
Option 2: RapidAPI
The same functionality is available as a REST API endpoint on RapidAPI:
👉 Multi-Tool Content API on RapidAPI
Code Example
from apify_client import ApifyClient
client = ApifyClient('YOUR_API_TOKEN')
run_input = { }
run = client.actor('darknezz/pdf-text-extractor').call(run_input=run_input)
for item in client.dataset(run['defaultDatasetId']).iterate_items():
print(item)
Pricing
This actor uses pay-per-event pricing on Apify — you only pay for the data you actually get. No subscription fees, no hidden costs.
Links
| Platform | Link |
|---|---|
| Apify Store | PDF Text Extractor — Clean Text from PDF Files |
| RapidAPI | Multi-Tool Content API |
| GitHub | Source Code & Docs |
Built and maintained by DarkneZz. Questions? Open an issue on GitHub.
Top comments (0)