This demo requires browser-use v0.7.6+.
Features
- Agent visits your target website
- Captures brand name, tagline, and key selling points
- Takes a clean screenshot for design reference
- Creates scroll-stopping Instagram image ads with π
- Generates viral TikTok video ads with Veo3
- Supports parallel generation of multiple ads
Make sure the newest version of browser-use is installed (with screenshot functionality):
pip install -U browser-use
Export your Gemini API key, get it from: Google AI Studio
export GOOGLE_API_KEY='your-google-api-key-here'
Clone the repo and cd into the app folder
git clone https://github.com/browser-use/browser-use.git
cd browser-use/examples/apps/ad-use
Normal Usage
# Basic - Generate Instagram image ad (default)
python ad_generator.py --url https://www.apple.com/iphone-16-pro/
# Generate TikTok video ad with Veo3
python ad_generator.py --tiktok --url https://www.apple.com/iphone-16-pro/
# Generate multiple ads in parallel
python ad_generator.py --instagram --count 3 --url https://www.apple.com/iphone-16-pro/
python ad_generator.py --tiktok --count 2 --url https://www.apple.com/iphone-16-pro/
# Debug Mode - See the browser in action
python ad_generator.py --url https://www.apple.com/iphone-16-pro/ --debug
Command Line Options
--url: Landing page URL to analyze
--instagram: Generate Instagram image ad (default if no flag specified)
--tiktok: Generate TikTok video ad using Veo3
--count N: Generate N ads in parallel (default: 1)
--debug: Show browser window and enable verbose logging
Programmatic Usage
import asyncio
from ad_generator import create_ad_from_landing_page
async def main():
results = await create_ad_from_landing_page(
url="https://your-landing-page.com",
debug=False
)
print(f"Generated ads: {results}")
asyncio.run(main())
Generated ads are saved in the output/ directory with:
- PNG image files (ad_timestamp.png) - Instagram ads generated with Gemini 2.5 Flash Image
- MP4 video files (ad_timestamp.mp4) - TikTok ads generated with Veo3
- Analysis files (analysis_timestamp.txt) - Browser agent analysis and prompts used
- Landing page screenshots (landing_page_timestamp.png) - Reference screenshots
Source Code
Full implementation: https://github.com/browser-use/browser-use/tree/main/examples/apps/ad-use