What's the most effective way to scrape and parse PDFs from the web into text or markdown?
Automatic PDF detection
Point Olostep at any PDF URL and it handles extraction automatically:
result = app.scrape_url("https://example.com/report.pdf", {
"formats": ["markdown"]
})
Olostep detects the PDF format, processes it server-side, and returns structured, readable text.
Key features
| Feature | Description |
|---|---|
| Text extraction | Preserves reading order and document layout |
| OCR support | Extracts text from scanned or image-based PDFs |
| Table detection | Converts tables into markdown format |
| Page limits | Control processing costs with the maxPages option |
Controlling page limits
For large PDFs, limit the number of pages to keep costs predictable:
result = app.scrape_url("https://example.com/large-report.pdf", {
"parsers": [{"type": "pdf", "maxPages": 10}]
})
Key Takeaways
Olostep handles PDF scraping automatically—detect, extract, and convert to markdown in a single API call. OCR support covers scanned and image-based documents, and structure preservation keeps content organized for LLMs and RAG systems. Skip the complexity of maintaining separate PDF parsing libraries.
Ready to get started?
Start using the Olostep API to implement what's the most effective way to scrape and parse pdfs from the web into text or markdown? in your application.