docs/examples/full_page_screenshot_and_pdf_export.md
When dealing with very long web pages, traditional full-page screenshots can be slow or fail entirely. For large pages (like extensive Wikipedia articles), generating a single massive screenshot often leads to delays, memory issues, or style differences.
The New Approach: We’ve introduced a new feature that effortlessly handles even the biggest pages by first exporting them as a PDF, then converting that PDF into a high-quality image. This approach leverages the browser’s built-in PDF rendering, making it both stable and efficient for very long content. You also have the option to directly save the PDF for your own usage—no need for multiple passes or complex stitching logic.
Key Benefits:
Simple Example:
import os
import sys
import asyncio
from crawl4ai import AsyncWebCrawler, CacheMode, CrawlerRunConfig
# Adjust paths as needed
parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(parent_dir)
__location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__)))
async def main():
async with AsyncWebCrawler() as crawler:
# Request both PDF and screenshot
result = await crawler.arun(
url='https://en.wikipedia.org/wiki/List_of_common_misconceptions',
config=CrawlerRunConfig(
cache_mode=CacheMode.BYPASS,
pdf=True,
screenshot=True
)
)
if result.success:
# Save screenshot
if result.screenshot:
from base64 import b64decode
with open(os.path.join(__location__, "screenshot.png"), "wb") as f:
f.write(b64decode(result.screenshot))
# Save PDF
if result.pdf:
with open(os.path.join(__location__, "page.pdf"), "wb") as f:
f.write(result.pdf)
if __name__ == "__main__":
asyncio.run(main())
What Happens Under the Hood:
pdf=True, it exports the current page as a full PDF, capturing all of its content no matter the length.screenshot=True, and a PDF is already available, it directly converts the first page of that PDF to an image for you—no repeated loading or scrolling.Controlling scroll speed for full-page screenshots:
When a page is taller than screenshot_height_threshold (default ~20,000px) and no PDF is available, Crawl4AI scrolls through the page to capture a stitched full-page screenshot. Use scroll_delay to control the pause between scroll steps:
config = CrawlerRunConfig(
screenshot=True,
scroll_delay=0.5, # Wait 0.5s between scroll steps (default: 0.2)
)
This is particularly useful for pages with lazy-loaded images or animations that need time to render during scrolling.
If you only need a screenshot of the visible viewport (not the entire page), use the force_viewport_screenshot option. This is significantly faster and produces smaller images, especially for long pages.
import os
import asyncio
from base64 import b64decode
from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
async def main():
async with AsyncWebCrawler() as crawler:
result = await crawler.arun(
url='https://en.wikipedia.org/wiki/List_of_common_misconceptions',
config=CrawlerRunConfig(
screenshot=True,
force_viewport_screenshot=True # Only capture the visible viewport
)
)
if result.success and result.screenshot:
with open("viewport_screenshot.png", "wb") as f:
f.write(b64decode(result.screenshot))
print("Viewport screenshot saved!")
if __name__ == "__main__":
asyncio.run(main())
When to use viewport-only screenshots:
Conclusion: With this feature, Crawl4AI becomes even more robust and versatile for large-scale content extraction. Whether you need a PDF snapshot or a quick screenshot, you now have a reliable solution for even the most extensive webpages.