### Scrape Texas AG Decisions - Python

Source: https://context7.com/muckrock/texas-pia-decision-scraper/llms.txt

This Python function scrapes Texas Attorney General's Open Records Letters from 2025. It iterates through document IDs, constructs PDF URLs, and downloads existing files. It includes error handling for HTTP responses and request exceptions, along with rate limiting using random delays.

```python
import random
import time
import requests

def scrape_texas_ag_decisions():
    # URL pattern for Texas AG Open Records Letters (2025)
    base_url = "https://www2.texasattorneygeneral.gov/opinions/openrecords/PIA/51paxton/orl/2025/pdf/or2025{:06d}.pdf"

    for i in range(0, 50000):
        url = base_url.format(i)
        print(f"Trying: {url}")

        try:
            response = requests.get(url, timeout=10)
            print(f"Status code: {response.status_code}")

            if response.status_code == 200:
                # Save successfully retrieved PDFs to docs/ directory
                filename = f"docs/or2025{i:06d}.pdf"
                with open(filename, 'wb') as f:
                    f.write(response.content)
                print(f"Downloaded: {filename}")
            elif response.status_code == 404:
                print(f"Not found: or2025{i:06d}")
            else:
                print(f"Error {response.status_code} for: or2025{i:06d}")

        except requests.RequestException as e:
            print(f"Request failed for or2025{i:06d}: {e}")

        # Rate limiting: random delay between 1-2 seconds
        time.sleep(random.uniform(1, 2))

# Run the scraper
scrape_texas_ag_decisions()
```

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