From 4b5cb86d2979824a92382b59c04ece0e99723c11 Mon Sep 17 00:00:00 2001
From: sonicdashh <147204439+sonicdashh@users.noreply.github.com>
Date: Sat, 7 Oct 2023 05:27:05 +0000
Subject: [PATCH] Added automated web scraper script with README and
 requirements.

---
 Automated-Web-Scraper/README.md               | 31 +++++++++++++++++++
 .../automated-web-scraper.py                  | 16 ++++++++++
 Automated-Web-Scraper/requirements.txt        |  2 ++
 3 files changed, 49 insertions(+)
 create mode 100644 Automated-Web-Scraper/README.md
 create mode 100644 Automated-Web-Scraper/automated-web-scraper.py
 create mode 100644 Automated-Web-Scraper/requirements.txt

diff --git a/Automated-Web-Scraper/README.md b/Automated-Web-Scraper/README.md
new file mode 100644
index 0000000..0bf998c
--- /dev/null
+++ b/Automated-Web-Scraper/README.md
@@ -0,0 +1,31 @@
+# Automated Web Scraper
+
+This Python script automates the process of web scraping using the `requests` and `BeautifulSoup` libraries.
+
+## Usage
+
+1. Modify the script (`automated_web_scraper.py`) to set the URL you want to scrape and specify the data you want to extract.
+
+2. Run the script using Python.
+
+## Requirements
+
+- Python 3.x
+- `requests` library
+- `BeautifulSoup` library
+
+## Installation
+
+1. Clone this repository or download the script (`automated_web_scraper.py`).
+
+2. Install the required libraries using the `requirements.txt` file.
+
+3. Modify the script and run it to perform automated web scraping.
+
+## Author
+
+sonicdashh
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
\ No newline at end of file
diff --git a/Automated-Web-Scraper/automated-web-scraper.py b/Automated-Web-Scraper/automated-web-scraper.py
new file mode 100644
index 0000000..334f34c
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+++ b/Automated-Web-Scraper/automated-web-scraper.py
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+import requests
+from bs4 import BeautifulSoup
+
+# Specify the URL to scrape
+url = "https://example.com"
+
+# Send an HTTP request
+response = requests.get(url)
+
+# Parse the HTML content
+soup = BeautifulSoup(response.text, "html.parser")
+
+# Extract and process data (e.g., extract all headings)
+headings = soup.find_all(["h1", "h2", "h3", "h4", "h5", "h6"])
+for heading in headings:
+    print(heading.text.strip())
diff --git a/Automated-Web-Scraper/requirements.txt b/Automated-Web-Scraper/requirements.txt
new file mode 100644
index 0000000..42d911b
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+++ b/Automated-Web-Scraper/requirements.txt
@@ -0,0 +1,2 @@
+requests==2.26.0
+beautifulsoup4==4.10.0