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Ad Generation with Browser-Use

Features

1. Agent visits your target website
2. Captures brand name, tagline, and key selling points
3. Takes a clean screenshot for design reference
4. Creates scroll-stopping Instagram image ads
5. Generates viral TikTok video ads with Veo3
6. Supports parallel generation of multiple ads

Setup

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())

Output

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

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