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security: remove API key from example files and documentation
- Replace hardcoded API key with environment variable instructions - Update examples to use SGAI_API_KEY environment variable - Remove API key reference from documentation - Users should set their own API key via environment variables
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TOON_INTEGRATION_SUMMARY.md

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# TOON Integration - Implementation Summary
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## 🎯 Objective
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Integrate the [Toonify library](https://github.com/ScrapeGraphAI/toonify) into the ScrapeGraph SDK to enable token-efficient responses using the TOON (Token-Oriented Object Notation) format.
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## ✅ What Was Done
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### 1. **Dependency Management**
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- Added `toonify>=1.0.0` as a dependency in `pyproject.toml`
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- The library was successfully installed and tested
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### 2. **Core Implementation**
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Created a new utility module: `scrapegraph_py/utils/toon_converter.py`
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- Implements `convert_to_toon()` function for converting Python dicts to TOON format
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- Implements `process_response_with_toon()` helper function
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- Handles graceful fallback if toonify is not installed
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### 3. **Client Integration - Synchronous Client**
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Updated `scrapegraph_py/client.py` to add `return_toon` parameter to:
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-`smartscraper()` and `get_smartscraper()`
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-`searchscraper()` and `get_searchscraper()`
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-`crawl()` and `get_crawl()`
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-`agenticscraper()` and `get_agenticscraper()`
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-`markdownify()` and `get_markdownify()`
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-`scrape()` and `get_scrape()`
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### 4. **Client Integration - Asynchronous Client**
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Updated `scrapegraph_py/async_client.py` with identical `return_toon` parameter to:
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-`smartscraper()` and `get_smartscraper()`
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-`searchscraper()` and `get_searchscraper()`
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-`crawl()` and `get_crawl()`
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-`agenticscraper()` and `get_agenticscraper()`
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-`markdownify()` and `get_markdownify()`
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-`scrape()` and `get_scrape()`
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### 5. **Documentation**
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- Created `TOON_INTEGRATION.md` with comprehensive documentation
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- Overview of TOON format
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- Benefits and use cases
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- Usage examples for all methods
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- Cost savings calculations
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- When to use TOON vs JSON
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### 6. **Examples**
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Created two complete example scripts:
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- `examples/toon_example.py` - Synchronous examples
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- `examples/toon_async_example.py` - Asynchronous examples
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- Both examples demonstrate multiple scraping methods with TOON format
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- Include token comparison and savings calculations
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### 7. **Testing**
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- ✅ Successfully tested with a valid API key
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- ✅ Verified both JSON and TOON outputs work correctly
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- ✅ Confirmed token reduction in practice
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## 📊 Key Results
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### Example Output Comparison
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**JSON Format:**
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```json
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{
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"request_id": "f424487d-6e2b-4361-824f-9c54f8fe0d8e",
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"status": "completed",
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"website_url": "https://example.com",
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"user_prompt": "Extract the page title and main heading",
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"result": {
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"page_title": "Example Domain",
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"main_heading": "Example Domain"
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},
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"error": ""
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}
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```
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**TOON Format:**
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```
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request_id: de003fcc-212c-4604-be14-06a6e88ff350
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status: completed
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website_url: "https://example.com"
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user_prompt: Extract the page title and main heading
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result:
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page_title: Example Domain
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main_heading: Example Domain
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error: ""
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```
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### Benefits Achieved
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-**30-60% token reduction** for typical responses
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-**Lower LLM API costs** (saves $2,147 per million requests at GPT-4 pricing)
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-**Faster processing** due to smaller payloads
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-**Human-readable** format maintained
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-**Backward compatible** - existing code continues to work with JSON
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## 🌿 Branch Information
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**Branch Name:** `feature/toonify-integration`
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**Commit:** `c094530`
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**Remote URL:** https://github.com/ScrapeGraphAI/scrapegraph-sdk/pull/new/feature/toonify-integration
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## 🔄 Files Changed
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### Modified Files (3):
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1. `scrapegraph-py/pyproject.toml` - Added toonify dependency
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2. `scrapegraph-py/scrapegraph_py/client.py` - Added TOON support to sync methods
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3. `scrapegraph-py/scrapegraph_py/async_client.py` - Added TOON support to async methods
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### New Files (4):
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1. `scrapegraph-py/scrapegraph_py/utils/toon_converter.py` - Core TOON conversion utility
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2. `scrapegraph-py/examples/toon_example.py` - Sync examples
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3. `scrapegraph-py/examples/toon_async_example.py` - Async examples
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4. `scrapegraph-py/TOON_INTEGRATION.md` - Complete documentation
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**Total:** 7 files changed, 764 insertions(+), 58 deletions(-)
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## 🚀 Usage
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### Basic Example
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```python
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from scrapegraph_py import Client
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client = Client(api_key="your-api-key")
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# Get response in TOON format (30-60% fewer tokens)
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toon_result = client.smartscraper(
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website_url="https://example.com",
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user_prompt="Extract product information",
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return_toon=True # Enable TOON format
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)
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print(toon_result) # TOON formatted string
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```
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### Async Example
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```python
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import asyncio
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from scrapegraph_py import AsyncClient
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async def main():
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async with AsyncClient(api_key="your-api-key") as client:
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toon_result = await client.smartscraper(
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website_url="https://example.com",
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user_prompt="Extract product information",
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return_toon=True
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)
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print(toon_result)
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asyncio.run(main())
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```
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## 🎉 Summary
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The TOON integration has been successfully completed! All scraping methods in both synchronous and asynchronous clients now support the `return_toon=True` parameter. The implementation is:
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-**Fully functional** - tested and working
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-**Well documented** - includes comprehensive guide and examples
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-**Backward compatible** - existing code continues to work
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-**Token efficient** - delivers 30-60% token savings as promised
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The feature is ready for review and can be merged into the main branch.
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## 🔗 Resources
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- **Toonify Repository:** https://github.com/ScrapeGraphAI/toonify
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- **TOON Format Spec:** https://github.com/toon-format/toon
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- **Branch:** https://github.com/ScrapeGraphAI/scrapegraph-sdk/tree/feature/toonify-integration
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scrapegraph-py/examples/toon_async_example.py

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async def main():
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"""Demonstrate TOON format with different async scraping methods."""
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# Set the API key
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os.environ['SGAI_API_KEY'] = 'sgai-e32215fb-5940-400f-91ea-30af5f35e0c9'
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# Set your API key as an environment variable
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# export SGAI_API_KEY="your-api-key-here"
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# or set it in your .env file
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# Initialize the async client
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async with AsyncClient.from_env() as client:

scrapegraph-py/examples/toon_example.py

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import os
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from scrapegraph_py import Client
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# Set the API key
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os.environ['SGAI_API_KEY'] = 'sgai-e32215fb-5940-400f-91ea-30af5f35e0c9'
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# Set your API key as an environment variable
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# export SGAI_API_KEY="your-api-key-here"
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# or set it in your .env file
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def main():

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