81 lines
2.4 KiB
Markdown
81 lines
2.4 KiB
Markdown
```python title="Python"
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from kreuzberg import extract_file_sync, ExtractionConfig
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result = extract_file_sync("document.pdf", config=ExtractionConfig())
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# Metadata is flat — format-specific fields are at the top level
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metadata = result.metadata
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if metadata.get("page_count"):
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print(f"Pages: {metadata['page_count']}")
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if metadata.get("title"):
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print(f"Title: {metadata['title']}")
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if metadata.get("authors"):
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print(f"Authors: {', '.join(metadata['authors'])}")
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result = extract_file_sync("page.html", config=ExtractionConfig())
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metadata = result.metadata
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if metadata.get("title"):
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print(f"Title: {metadata['title']}")
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if metadata.get("description"):
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print(f"Description: {metadata['description']}")
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# Access keywords as array
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keywords = metadata.get('keywords', [])
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if keywords:
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print(f"Keywords: {', '.join(keywords)}")
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# Access canonical URL (renamed from canonical)
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canonical_url = metadata.get('canonical_url')
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if canonical_url:
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print(f"Canonical URL: {canonical_url}")
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# Access Open Graph fields from map
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open_graph = metadata.get('open_graph', {})
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if open_graph:
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if 'image' in open_graph:
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print(f"Open Graph Image: {open_graph['image']}")
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if 'title' in open_graph:
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print(f"Open Graph Title: {open_graph['title']}")
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if 'type' in open_graph:
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print(f"Open Graph Type: {open_graph['type']}")
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# Access Twitter Card fields from map
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twitter_card = metadata.get('twitter_card', {})
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if twitter_card:
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if 'card' in twitter_card:
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print(f"Twitter Card Type: {twitter_card['card']}")
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if 'creator' in twitter_card:
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print(f"Twitter Creator: {twitter_card['creator']}")
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# Access new fields
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language = metadata.get('language')
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if language:
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print(f"Language: {language}")
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text_direction = metadata.get('text_direction')
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if text_direction:
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print(f"Text Direction: {text_direction}")
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# Access headers
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headers = metadata.get('headers', [])
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if headers:
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print(f"Headers: {', '.join([h['text'] for h in headers])}")
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# Access links
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links = metadata.get('links', [])
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if links:
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for link in links:
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print(f"Link: {link.get('href')} ({link.get('text')})")
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# Access images
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images = metadata.get('images', [])
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if images:
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for image in images:
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print(f"Image: {image.get('src')}")
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# Access structured data
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structured_data = metadata.get('structured_data', [])
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if structured_data:
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print(f"Structured data items: {len(structured_data)}")
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```
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