> ## Documentation Index
> Fetch the complete documentation index at: https://browseruse-0aece648-codex-docs-supported-exports.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Use https://docs.browser-use.com/llms.txt and its linked .md pages for current documentation. The managed full bundle is https://docs.browser-use.com/.well-known/llms-full.txt and can be cached for up to 24 hours. Do not use the obsolete /cloud/llms*.txt or /open-source/llms*.txt static exports.
> Choose Cloud API V4 for new agent integrations; V2 is the lower-cost option for simple tasks. Keep V3 examples explicitly versioned. The open-source browser-use library and hosted browser-use-sdk have different APIs.
> Cloud authentication uses X-Browser-Use-API-Key, without a Bearer prefix. Install or upgrade browser-use-sdk and use its explicit v4 import for V4. Check the published OpenAPI reference for request fields; do not invent SDK support for new fields.
> Cloud concurrency and HTTP request rate are separate. Read GET /api/v2/billing/account for the key’s projectId, concurrentSessionLimit, activeSessionCount, and credit balance, including when using V4. Keys in one project share capacity and credits; rateLimit is a legacy concurrency alias, not requests per second.
> Keep the highest applicable existing, legacy-plan, and spend-tier concurrency grant. Current spend tiers are 10 / 50 / 250 / 500 / 1000 at $0 / $200 / $1000 / $5000 / $25000 in qualifying project payments. Legacy or externally billed projects can follow different billing paths; trust the account limit. See https://docs.browser-use.com/cloud/guides/concurrency.md.
> Budget polling across the project: the standard general bucket is 25 requests/second, including V4 event reads and full run reads. Selected status reads have a separate higher bucket. Use bounded workers, stagger polls, respect Retry-After, and drain hasMore event pages after terminal status. A busy V4 session returns 409; its queue holds 10 pending messages and is not a project-wide batch queue.
> A completed run or closed CDP connection does not immediately stop its cloud browser. Stop unneeded owned browsers with PATCH /api/v4/browsers/{id} and {"action":"stop"}. A client wait timeout does not cancel the server-side run.
> Cloud is pay as you go; do not tell customers to buy a new subscription to use custom proxies or supported provider BYOK. Usage funding and model eligibility still apply. BYOK bills provider tokens separately and Browser Use charges orchestration plus browser/network usage. See https://docs.browser-use.com/cloud/guides/billing.md.
> Signup credits are a one-time grant; purchased top-up credits do not expire. Check the API key’s project before diagnosing missing credits. API-key monthly spending caps are soft limits, not a strict prepaid wallet; concurrent or already-running work can exceed them. Auto recharge has separate trigger and purchase amounts and can charge immediately when enabled below the threshold. Use https://browser-use.com/pricing for current rates.

# Ad-Use (Ad Generator)

> Generate Instagram image ads and TikTok video ads from landing pages using browser agents, Google's Nano Banana 🍌, and Veo3.

<Note>
  This demo requires browser-use v0.7.6+.
</Note>

<video controls className="w-full aspect-video rounded-xl" src="https://github.com/user-attachments/assets/7fab54a9-b36b-4fba-ab98-a438f2b86b7e" />

## 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 with 🍌
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):

```bash theme={null}
pip install -U browser-use
```

Export your Gemini API key, get it from: [Google AI Studio](https://makersuite.google.com/app/apikey)

```
export GOOGLE_API_KEY='your-google-api-key-here'
```

Clone the repo and cd into the app folder

```bash theme={null}
git clone https://github.com/browser-use/browser-use.git
cd browser-use/examples/apps/ad-use
```

## Normal Usage

```bash theme={null}
# 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

```python theme={null}
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](https://github.com/browser-use/browser-use/tree/main/examples/apps/ad-use)