Import-requests-from-bs4-import-BeautifulSoup

.vscode/launch.json

@@ -0,0 +1,101 @@
+
+
+Sure, I can assist you with coding a web crawler. Web crawlers are programs that automatically browse the internet and collect information from websites. Here are some steps you can follow to code a basic web crawler in Python:
+
+1. Import the necessary libraries. You will need requests to make HTTP requests and BeautifulSoup to parse the HTML content.
+
+```python
+import requests
+from bs4 import BeautifulSoup
+```
+
+2. Define a function to make HTTP requests and parse the HTML content. This function will take a URL as input and return a BeautifulSoup object that you can use to extract data from the page.
+
+```python
+def get_soup(url):
+    response = requests.get(url)
+    soup = BeautifulSoup(response.text, 'html.parser')
+    return soup
+```
+
+3. Define a function to extract data from a page. This function will take a BeautifulSoup object as input and return the data you are interested in. For example, if you are crawling a job board, you might want to extract the job title, company name, and job description.
+
+```python
+def extract_data(soup):
+    # Extract job title
+    job_title = soup.find('h1', class_='job-title').text.strip()
+
+    # Extract company name
+    company_name = soup.find('h2', class_='company-name').text.strip()
+
+    # Extract job description
+    job_description = soup.find('div', class_='job-description').text.strip()
+
+    return job_title, company_name, job_description
+```
+
+4. Define a function to crawl a website. This function will take a starting URL and crawl the website by following links and extracting data from pages. You can use a queue to keep track of the URLs you need to crawl.
+
+```python
+def crawl_website(start_url):
+    # Initialize queue with starting URL
+    queue = [start_url]
+
+    # Initialize set to keep track of visited URLs
+    visited = set()
+
+    # While there are URLs in the queue
+    while queue:
+        # Dequeue URL from queue
+        url = queue.pop(0)
+
+        # If URL has not been visited
+        if url not in visited:
+            # Add URL to visited set
+            visited.add(url)
+
+            # Get soup object from URL
+            soup = get_soup(url)
+
+            # Extract data from page
+            data = extract_data(soup)
+
+            # Print data
+            print(data)
+
+            # Find all links on page
+            links = soup.find_all('a')
+
+            # Enqueue new URLs
+            for link in links:
+                href = link.get('href')
+                if href.startswith('http'):
+                    queue.append(href)
+```
+
+5. Call the crawl_website function with a starting URL to start crawling the website.
+
+```python
+start_url = 'https://www.example.com'
+crawl_website(start_url)
+```
+
+This is just a basic example of how to code a web crawler. Depending on your specific use case, you may need to modify the code to handle different types of pages and data. Additionally, it's important to be respectful of websites and their terms of service when crawling the web.{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "type": "cscs",
+            "request": "launch",
+            "name": "CSCS Launch",
+            "program": "${workspaceFolder}/${command:RunLocal}",
+            "stopOnEntry": true,
+            "connectType": "sockets",
+            "serverPort": 13337,
+            "serverHost": "127.0.0.1",
+            "serverBase": ""
+        }
+    ]
+}

README.md

@@ -238,5 +238,6 @@ Set up AgentGPT in the cloud immediately by using [GitHub Codespaces](https://gi
 Run the project 🥳
 
 ```
+
 npm run dev
 ```