爬虫脚本URL列表独立为扁平文件的可行性及实现方案咨询

Great question! Using a flat file as a lightweight "database" for your URL list is absolutely a solid fit here. Relational databases are total overkill for this simple use case—you don’t need complex queries, transactions, or database server maintenance. A flat file keeps things lightweight, easy to edit, and aligns perfectly with your goal of updating URLs without touching the core scraping script.

Best Ways to Implement This #

1. Text File (Simplest Option) #

This is ideal if you want something anyone can edit with a basic text editor.

• Plain Text (One URL per Line):
  Create a urls.txt file with:

  https://www.someurla
  https://www.someurlb
  

  Update your script to read from this file instead of hardcoding the list:

  # Replace the hardcoded urls list with this
  with open('urls.txt', 'r') as f:
      urls = [line.strip() for line in f if line.strip()]  # Skip empty lines
  

  Pros: No syntax rules to follow, super easy to edit for non-technical folks.
  Cons: No built-in support for extra metadata (like product names) if you expand later.

• Structured Text (JSON):
  If you might add extra details down the line (e.g., URL labels or categories), use JSON. Create urls.json:

  ["https://www.someurla", "https://www.someurlb"]
  

  Read it with Python's built-in json library:

  import json
  
  with open('urls.json', 'r') as f:
      urls = json.load(f)
  

  Pros: Format is standardized, less prone to typos, easy to extend.
  Cons: Requires valid JSON syntax (quotes, commas) when editing.

2. .py File (Python-Native Option) #

Create a separate url_config.py file with your URL list:

# url_config.py
urls = [
    'https://www.someurla',
    'https://www.someurlb'
]

Then import it in your scraping script:

from url_config import urls

Pros: Seamless with Python, no parsing needed, great if you want to add other Python-specific configs later.
Cons: Requires basic Python syntax knowledge (correct quotes, commas) to edit—might be confusing for non-technical users.

Recommended Libraries #

For most cases, Python's built-in libraries are all you need:

• open() for plain text files
• json for structured JSON files
• configparser (built-in) if you want to use .ini format for grouped/labeled URLs

If you want a more human-readable structured format with support for comments, consider the third-party pyyaml library for YAML files:

# urls.yaml
urls:
  - https://www.someurla
  - https://www.someurlb

Are There Better Alternatives? #

For your current use case (simple URL list), the flat file approaches above are already optimal. But if you anticipate future needs, here are some options:

• Version Control: Store your URL file in a Git repo to track changes, revert edits, and collaborate safely with others.
• Cloud-Based Lists: If multiple people need to edit URLs remotely, use Google Sheets with the gspread library to pull the list dynamically (adds a network dependency but enables collaborative editing).
• TOML Files: For more readable structured configs (better than JSON for humans), use Python 3.11+'s built-in tomllib library for TOML files.

内容的提问来源于stack exchange，提问作者Bunny Davis