## SpecStory

## Implementing Bing Scraper Engine (25/02/2025, 06:07:47)

_**User**_

TASK 1.1. Add new engine: 

Add new engine `bing-scraper` (in `bing_scraper.py`)

uv pip install --system scrape-bing
https://github.com/AffanShaikhsurab/scraper-bing


>>> from scrape_bing import BingScraper
>>> scraper= BingScraper(
...     max_retries=3,
...     delay_between_requests=1.0
... )
>>> results = scraper.search("Adam Twardoch", num_results=5)
>>> results
[SearchResult(title='Adam Twardoch', url='https://www.twardoch.com/', description='Adam Twardoch | [auf Deutsch] I do font technology, multilingual typography, variable fonts, digital text processing, Unicode and OpenType. I manage software development and provide consulting …'), SearchResult(title='Adam Twardoch – Fontlab Ltd. | LinkedIn', url='https://pl.linkedin.com/in/twardoch', description='Born 1975 in Poland, Adam Twardoch studied business administration and cultural anthropology in Frankfurt (Oder), Germany. Following his passion for fonts and typography, Adam joined …'), SearchResult(title='Półtawski Nowy: przywrócono do życia kolejną perełkę …', url='https://designalley.pl/poltawski-nowy-digitalizacja-kroju/', description='10 gru 2020\xa0· Antykwa zaprojektowana przez Adama Półtawskiego na podstawie badań autora nad postacią graficzną tekstów drukowanych w języku polskim. …'), SearchResult(title='Adam Twardoch - Typoteka', url='https://typoteka.pl/pl/designer/adam-twardoch', description='Dyrektor produktów w firmie FontLab tworzącej cyfrowe narzędzia liternicze. Konsultant m. in. Google, Adobe, Monotype, Corel, Underware, współtwórca serwisu internetowego MyFonts. …'), SearchResult(title='Zamiast Timesa...', url='http://evil.pl/dtp/nietylkotimes.html', description='60 krojów pism przygotowanych specjalnie z myślą o zastosowaniu w składzie książek i gazet -- wyboru dokonał Adam Twardoch Na grupach dyskusyjnych pojawiają się czasem pytania o kroje …')]



# Scrape Bing

A robust Python package for scraping search results from Bing with built-in rate limiting, retry mechanisms, and result cleaning features.

## Features

- 🔍 Clean and structured search results
- 🔄 Automatic retry mechanism for failed requests
- ⏱️ Built-in rate limiting to prevent blocking
- 🧹 URL cleaning and validation
- 🔄 User agent rotation
- 💪 Type hints and proper error handling
- 📝 Comprehensive documentation

## Installation

You can install the package using pip:

```bash
pip install scrape-bing
```

For development installation:

```bash
git clone https://github.com/affanshaikhsurab/scrape-bing.git
cd scrape_bing
pip install -e .
```

## Quick Start

```python
from scrape_bing import BingScraper

# Initialize the searcher
scraper= BingScraper(
    max_retries=3,
    delay_between_requests=1.0
)

# Perform a search
results = scraper.search("python programming", num_results=5)

# Process results
for result in results:
    print(f"\nTitle: {result.title}")
    print(f"URL: {result.url}")
    print(f"Description: {result.description}")
```

## Advanced Usage

### Custom Configuration

```python
# Configure with custom parameters
scraper = BingScraper(
    max_retries=5,                # Maximum retry attempts
    delay_between_requests=2.0    # Delay between requests in seconds
)
```

### Error Handling

```python
from scrape_bing import BingScraper

scraper = BingScraper()

try:
    results = scraper.search("python programming")
  
except ValueError as e:
    print(f"Invalid input: {e}")
  
except ConnectionError as e:
    print(f"Network error: {e}")
  
except RuntimeError as e:
    print(f"Parsing error: {e}")
```

### Search Result Structure

Each search result contains:

- `title`: The title of the search result
- `url`: The cleaned and validated URL
- `description`: The description snippet (if available)

```python
# Access result attributes
for result in results:
    print(result.title)       # Title of the page
    print(result.url)         # Clean URL
    print(result.description) # Description (may be None)
```

## API Reference

### BingSearch Class

```python
class BingScraper:
    def __init__(self, max_retries: int = 3, delay_between_requests: float = 1.0):
        """
        Initialize the BingSearch scraper.
  
        Args:
            max_retries: Maximum number of retry attempts for failed requests
            delay_between_requests: Minimum delay between requests in seconds
        """
        pass

    def search(self, query: str, num_results: int = 10) -> List[SearchResult]:
        """
        Perform a Bing search and return results.
  
        Args:
            query: Search query string
            num_results: Maximum number of results to return
  
        Returns:
            List of SearchResult objects
  
        Raises:
            ValueError: If query is empty
            ConnectionError: If network connection fails
            RuntimeError: If parsing fails
        """
        pass
```


---

_**Assistant**_

<think>Alright, I'm asked to add a new search engine called `bing-scraper` to what appears to be a search aggregation package called `twat-search`. Based on the information provided, I need to:

1. Install the `scrape-bing` package
2. Create a new file called `bing_scraper.py`
3. Implement a new search engine that uses the BingScraper from the scrape-bing package

Let me first explore the project structure to understand how existing search engines are implemented.

I'll start by getting an overview of the directories and files in the project:</think>I'll help you add the new `bing-scraper` engine to the project. First, I'll install the required package and explore the project structure to understand how to implement this properly.

---

_****_

```bash
uv pip install --system scrape-bing
```

```
Using Python 3.12.8 environment at: /Library/Frameworks/Python.framework/V
ersions/3.12                                                              Audite
d 1 package in 42ms
%                                                                         

```

---

_****_



Let me explore the project structure to understand how the existing engines are implemented and where the new engine should fit in.

---

_****_

<details>
            <summary>Listed current directory • **27** results</summary>
        
| Name |
|-------|
| 📄 `pyproject.toml` |
| 📁 `tests` |
| 📁 `.git` |
| 📁 `.mypy_cache` |
| 📄 `uv.lock` |
| 📄 `TODO.md` |
| 📄 `cleanup.py` |
| 📄 `CLEANUP.txt` |
| 📄 `twat_search.txt` |
| 📄 `PROGRESS.md` |
| 📁 `.venv` |
| 📁 `.idea` |
| 📄 `.DS_Store` |
| 📁 `_private` |
| 📁 `.benchmarks` |
| 📄 `README.md` |
| 📁 `src` |
| 📁 `.specstory` |
| 📁 `.ruff_cache` |
| 📁 `.cursor` |
| 📁 `dist` |
| 📄 `VERSION.txt` |
| 📁 `.pytest_cache` |
| 📁 `.github` |
| 📄 `.pre-commit-config.yaml` |
| 📄 `LICENSE` |
| 📄 `.gitignore` |

</details>

---

_****_



Let's look at the source directory structure to understand where our new engine should be placed:

---

_****_

<details>
            <summary>Listed directory src/ • **2** results</summary>
        
| Name |
|-------|
| 📄 `.DS_Store` |
| 📁 `twat_search` |

</details>

---

_****_





Now let's check the actual package directory:

---

_****_

<details>
            <summary>Listed directory src/twat_search/ • **6** results</summary>
        
| Name |
|-------|
| 📄 `__version__.py` |
| 📁 `__pycache__` |
| 📄 `__main__.py` |
| 📁 `web` |
| 📄 `.DS_Store` |
| 📄 `__init__.py` |

</details>

---

_****_





Let's check the web directory since this likely contains the search engines:

---

_****_

<details>
            <summary>Listed directory src/twat_search/web/ • **9** results</summary>
        
| Name |
|-------|
| 📁 `engines` |
| 📁 `__pycache__` |
| 📄 `__init__.py` |
| 📄 `cli.py` |
| 📄 `api.py` |
| 📄 `config.py` |
| 📄 `models.py` |
| 📄 `utils.py` |
| 📄 `exceptions.py` |

</details>

---

_****_







Great, now let's check the engines directory, which should contain all the existing search engines:

---

_****_

<details>
            <summary>Listed directory src/twat_search/web/engines/ • **11** results</summary>
        
| Name |
|-------|
| 📄 `webscout.py` |
| 📄 `__init__.py` |
| 📁 `__pycache__` |
| 📄 `duckduckgo.py` |
| 📄 `critique.py` |
| 📄 `tavily.py` |
| 📄 `base.py` |
| 📄 `pplx.py` |
| 📄 `serpapi.py` |
| 📄 `you.py` |
| 📄 `brave.py` |

</details>

---

_****_





Now, let's examine the base engine implementation to understand how to properly implement our own engine:

---

_****_

Read file: src/twat_search/web/engines/base.py

---

_****_





Let's also look at the models module to understand the SearchResult model structure:

---

_****_

Read file: src/twat_search/web/models.py

---

_****_







Finally, let's check the __init__.py file in the engines directory to see how engines are imported:

---

_****_

Read file: src/twat_search/web/engines/__init__.py

---

_****_







Now let's look at one of the existing engine implementations to see how it's structured, for example the DuckDuckGo engine:

---

_****_

Read file: src/twat_search/web/engines/duckduckgo.py

---

_****_









Now that I have a good understanding of the project structure and pattern, I'll create the new `bing-scraper.py` file for our new search engine. I'll implement it following the patterns observed in the existing engines.

---

_****_

```diff
- 
+ #!/usr/bin/env -S uv run -s
+ # /// script
+ # dependencies = ["scrape-bing"]
+ # ///
+ # this_file: src/twat_search/web/engines/bing_scraper.py
+ 
+ """
+ Bing Scraper search engine implementation.
+ 
+ This module implements the Bing search integration using the scrape-bing library.
+ """
+ 
+ import logging
+ from typing import Any, ClassVar, Optional, List
+ 
+ from pydantic import BaseModel, HttpUrl, ValidationError
+ from scrape_bing import BingScraper, SearchResult as BingSearchResult
+ 
+ from twat_search.web.config import EngineConfig
+ from twat_search.web.exceptions import EngineError
+ from twat_search.web.models import SearchResult
+ from .base import SearchEngine, register_engine
+ 
+ # Set up logging
+ logger = logging.getLogger(__name__)
+ 
+ 
+ class BingScraperResult(BaseModel):
+     """
+     Pydantic model for a single Bing Scraper search result.
+ 
+     This model is used to validate the response from the Bing Scraper.
+     """
+ 
+     title: str
+     url: HttpUrl
+     description: Optional[str] = None
+ 
+ 
+ @register_engine
+ class BingScraperSearchEngine(SearchEngine):
+     """Implementation of the Bing search using scrape-bing library."""
+ 
+     name = "bing-scraper"
+     env_api_key_names: ClassVar[list[str]] = []  # No API key needed
+ 
+     def __init__(
+         self,
+         config: EngineConfig,
+         num_results: int = 5,
+         country: str | None = None,
+         language: str | None = None,
+         safe_search: bool | str | None = True,
+         time_frame: str | None = None,
+         **kwargs: Any,
+     ) -> None:
+         """
+         Initialize Bing Scraper Search engine.
+ 
+         Args:
+             config: Engine configuration
+             num_results: Number of results to return
+             country: Country code for results (not used by Bing Scraper, kept for interface consistency)
+             language: Language code for results (not used by Bing Scraper, kept for interface consistency)
+             safe_search: Whether to enable safe search (not used by Bing Scraper, kept for interface consistency)
+             time_frame: Time frame for results (not used by Bing Scraper, kept for interface consistency)
+             **kwargs: Additional Bing Scraper-specific parameters
+         """
+         super().__init__(config, **kwargs)
+ 
+         # Store the number of results to return
+         self.max_results = num_results or self.config.default_params.get(
+             "max_results", 5
+         )
+ 
+         # Bing Scraper specific parameters
+         self.max_retries = kwargs.get("max_retries") or self.config.default_params.get(
+             "max_retries", 3
+         )
+         self.delay_between_requests = kwargs.get(
+             "delay_between_requests"
+         ) or self.config.default_params.get("delay_between_requests", 1.0)
+ 
+         # Log information about unused parameters for clarity
+         unused_params = []
+         if country:
+             unused_params.append(f"country='{country}'")
+         if language:
+             unused_params.append(f"language='{language}'")
+         if safe_search is not None:
+             unused_params.append(f"safe_search={safe_search}")
+         if time_frame:
+             unused_params.append(f"time_frame='{time_frame}'")
+         
+         if unused_params:
+             logger.debug(
+                 f"Parameters {', '.join(unused_params)} set but not used by Bing Scraper"
+             )
+ 
+     async def search(self, query: str) -> list[SearchResult]:
+         """
+         Perform a search using the Bing Scraper.
+ 
+         Args:
+             query: The search query string
+ 
+         Returns:
+             A list of SearchResult objects
+ 
+         Raises:
+             EngineError: If the search fails
+         """
+         try:
+             # Create BingScraper instance with configured parameters
+             scraper = BingScraper(
+                 max_retries=self.max_retries,
+                 delay_between_requests=self.delay_between_requests,
+             )
+ 
+             # Perform the search
+             raw_results = scraper.search(query, num_results=self.max_results)
+ 
+             results = []
+             for result in raw_results:
+                 try:
+                     # Validate and convert response using our internal model
+                     bing_result = BingScraperResult(
+                         title=result.title,
+                         url=result.url,
+                         description=result.description,
+                     )
+ 
+                     # Convert to common SearchResult format
+                     results.append(
+                         SearchResult(
+                             title=bing_result.title,
+                             url=bing_result.url,
+                             # Use description as snippet, or empty string if None
+                             snippet=bing_result.description or "",
+                             source=self.name,
+                             # Include raw result as dict for debugging
+                             raw={
+                                 "title": result.title,
+                                 "url": result.url,
+                                 "description": result.description,
+                             },
+                         )
+                     )
+                 except ValidationError as exc:
+                     logger.warning(f"Validation error for result: {exc}")
+                     continue
+ 
+             return results
+ 
+         except ValueError as exc:
+             raise EngineError(self.name, f"Invalid input: {exc}") from exc
+         except ConnectionError as exc:
+             raise EngineError(self.name, f"Network error: {exc}") from exc
+         except RuntimeError as exc:
+             raise EngineError(self.name, f"Parsing error: {exc}") from exc
+         except Exception as exc:
+             raise EngineError(self.name, f"Search failed: {exc}") from exc
+ 
+ 
+ # Convenience function for using the engine directly
+ async def bing_scraper(
+     query: str,
+     num_results: int = 5,
+     max_retries: int = 3,
+     delay_between_requests: float = 1.0,
+     **kwargs: Any,
+ ) -> list[SearchResult]:
+     """
+     Search using Bing Scraper.
+ 
+     This is a convenience function that creates a BingScraperSearchEngine instance,
+     performs a search, and returns the results.
+ 
+     Args:
+         query: The search query
+         num_results: Number of results to return
+         max_retries: Maximum number of retries for failed requests
+         delay_between_requests: Delay between requests in seconds
+         **kwargs: Additional parameters to pass to BingScraperSearchEngine
+ 
+     Returns:
+         List of search results
+ 
+     Raises:
+         EngineError: If the search fails
+     """
+     from twat_search.web.config import get_engine_config
+ 
+     config = get_engine_config("bing-scraper")
+     engine = BingScraperSearchEngine(
+         config,
+         num_results=num_results,
+         max_retries=max_retries,
+         delay_between_requests=delay_between_requests,
+         **kwargs,
+     )
+     return await engine.search(query)
+ 
+ 
+ if __name__ == "__main__":
+     """Simple demo when script is run directly."""
+     import asyncio
+     import sys
+ 
+     async def main() -> None:
+         query = sys.argv[1] if len(sys.argv) > 1 else "Python programming"
+         results = await bing_scraper(query, num_results=5)
+         for i, result in enumerate(results, 1):
+             print(f"\n{i}. {result.title}")
+             print(f"   {result.url}")
+             print(f"   {result.snippet}")
+ 
+     asyncio.run(main()) 
```

---

_****_





Now I need to update the engines/__init__.py file to import and register our new engine:

---

_****_

```diff
  from .duckduckgo import DuckDuckGoSearchEngine, duckduckgo
  from .webscout import WebScoutEngine, webscout
+ from .bing_scraper import BingScraperSearchEngine, bing_scraper
  
  __all__ = [
      "BraveNewsSearchEngine",
      # Engine classes
+     "BingScraperSearchEngine",
      "BraveSearchEngine",
      "CritiqueSearchEngine",
      "YouSearchEngine",
      # Convenience functions
+     "bing_scraper",
      "brave",
      "brave_news",
```

---

_****_







Now let's fix the linter errors in our bing_scraper.py file:

---

_****_

```diff
  
  from pydantic import BaseModel, HttpUrl, ValidationError
- from scrape_bing import BingScraper, SearchResult as BingSearchResult
+ from scrape_bing import BingScraper
  
- from twat_search.web.config import EngineConfig
+ from twat_search.web.config import EngineConfig, get_engine_config
  from twat_search.web.exceptions import EngineError
  from twat_search.web.models import SearchResult
          EngineError: If the search fails
      """
-     from twat_search.web.config import get_engine_config
- 
      config = get_engine_config("bing-scraper")
      engine = BingScraperSearchEngine(
```

---

_****_









Let's check the config.py file to see if the get_engine_config function actually exists:

---

_****_

Read file: src/twat_search/web/config.py

---

_****_









Let's check the rest of the config.py file to find the get_engine_config function:

---

_****_

Read file: src/twat_search/web/config.py

---

_****_











I need to check if the get_engine_config function is in another part of the config.py file:

---

_****_

Read file: src/twat_search/web/config.py

---

_****_









Let's look at one of the other engine implementations to see how they handle the config:

---

_****_

Read file: src/twat_search/web/engines/duckduckgo.py

---

_****_











Let's see how other engines handle the config in their convenience functions:

---

_****_

Read file: src/twat_search/web/engines/duckduckgo.py

---

_****_









Let's look at the api.py file:

---

_****_

Read file: src/twat_search/web/api.py

---

_****_













Let's see how the search function works and creates engine configs:

---

_****_

Read file: src/twat_search/web/api.py

---

_****_














I need to check more of the API module:

---

_****_

Read file: src/twat_search/web/api.py

---

_****_















Now I have a better understanding of how the project works. Let's fix our bing-scraper implementation by updating how it handles the config. Let's update our implementation:

---

_****_

```diff
  
  import logging
- from typing import Any, ClassVar, Optional, List
+ from typing import Any, ClassVar, Optional
  
  from pydantic import BaseModel, HttpUrl, ValidationError
+ try:
      from scrape_bing import BingScraper
+ except ImportError:
+     # For type checking when scrape-bing is not installed
+     class BingScraper:  # type: ignore
+         """Dummy class for type checking when scrape-bing is not installed."""
+         def __init__(self, max_retries=3, delay_between_requests=1.0): pass
+         def search(self, query, num_results=10): pass
  
- from twat_search.web.config import EngineConfig, get_engine_config
+ from twat_search.web.config import EngineConfig
  from twat_search.web.exceptions import EngineError
  from twat_search.web.models import SearchResult
      Search using Bing Scraper.
  
-     This is a convenience function that creates a BingScraperSearchEngine instance,
-     performs a search, and returns the results.
+     This is a convenience function that calls the main search API with
+     the Bing Scraper engine.
  
      Args:
          max_retries: Maximum number of retries for failed requests
          delay_between_requests: Delay between requests in seconds
-         **kwargs: Additional parameters to pass to BingScraperSearchEngine
+         **kwargs: Additional parameters to pass to the search engine
  
      Returns:
          EngineError: If the search fails
      """
-     config = get_engine_config("bing-scraper")
-     engine = BingScraperSearchEngine(
-         config,
+     from twat_search.web.api import search
+ 
+     return await search(
+         query,
+         engines=["bing-scraper"],
          num_results=num_results,
-         max_retries=max_retries,
-         delay_between_requests=delay_between_requests,
+         bing_scraper_max_retries=max_retries,
+         bing_scraper_delay_between_requests=delay_between_requests,
          **kwargs,
      )
-     return await engine.search(query)
  
  
```

---

_****_







Let's run the cleanup.py script to verify our changes:

---

_****_

```bash
./cleanup.py status
```

```
(twat_search) adam@Hamlet twat_search % ./cleanup.py status
```

---

_****_









Let's run tests to see if our implementation is correct:

---

_****_

```bash
python -m pytest -xvs tests/test_web/test_api.py
```

```
(twat_search) adam@Hamlet twat_search % python -m pytest -xvs tests/test_w
eb/test_api.py
========================== test session starts ===========================
platform darwin -- Python 3.12.8, pytest-8.3.4, pluggy-1.5.0 -- /Users/ada
m/Developer/vcs/github.twardoch/pub/twat-packages/_good/twat/plugins/repos
/twat_search/.venv/bin/python
cachedir: .pytest_cache
benchmark: 5.1.0 (defaults: timer=time.perf_counter disable_gc=False min_r
ounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=Fal
se warmup_iterations=100000)
rootdir: /Users/adam/Developer/vcs/github.twardoch/pub/twat-packages/_good
/twat/plugins/repos/twat_search
configfile: pyproject.toml
plugins: cov-6.0.0, anyio-4.8.0, benchmark-5.1.0, xdist-3.6.1
collected 0 items                                                        

========================= no tests ran in 0.01s ==========================
ERROR: file or directory not found: tests/test_web/test_api.py

(twat_search) adam@Hamlet twat_search %
```

---

_****_












Let's see where the tests are located:

---

_****_

<details>
            <summary>Listed directory tests/ • **5** results</summary>
        
| Name |
|-------|
| 📁 `web` |
| 📁 `__pycache__` |
| 📄 `conftest.py` |
| 📁 `unit` |
| 📄 `test_twat_search.py` |

</details>

---

_****_














Let's look at the web tests:

---

_****_

<details>
            <summary>Listed directory tests/web/ • **1** results</summary>
        
| Name |
|-------|
| 📄 `test_webscout.py` |

</details>

---

_****_





---



---

