feat(crawl_terraform) add readme

crawl/readme.md

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+# Documentation for Web Content Scraper
+
+## Overview
+This script is designed to scrape data from a list of URLs provided in a CSV file. It fetches the content, extracts specific product information, and logs the operations performed. Optionally, the extracted content can also be saved. The script utilizes various libraries such as `requests`, `BeautifulSoup`, and `argparse` to ensure efficient and robust operation.
+
+## Prerequisites
+Make sure the following Python packages are installed:
+- `requests`
+- `beautifulsoup4`
+- `urllib3`
+
+To install the dependencies, run the following command:
+```sh
+pip install requests beautifulsoup4
+```
+## How to Use
+Arguments
+The script accepts command-line arguments that allow customization of behavior:
+--csv_path: The path to the CSV file containing URLs to scrape. The default value is ./urls.csv.
+--save_result: A boolean flag indicating whether to save the scraped results. The default value is False.
+## Running the Script
+You can run the script by using the following command:
+
+```sh
+Copy code
+python main.py --csv_path <path_to_csv> --save_result <True/False>
+```
+For example:
+```sh
+Copy code
+python main.py --csv_path ./urls.csv --save_result True
+```
+## CSV File Format
+The CSV file should contain a list of URLs, with each URL on a new line. Here is an example:
+```
+https://example.com/page1
+https://example.com/page2
+```
+