Parcel Proxy

Go to the settings (the icon in the form of three dots) and open the section "Settings". In the tab at the very bottom, click on "Advanced settings". Click on "Open proxy settings for computer" and in the window that appears, click on "Network settings". Find the line "Automatic detection of parameters", uncheck it, and then, in the section "Proxy", activate the option "Use a proxy server". Enter the proxy host and port in the appropriate fields, and then click "Apply".

SQLite is a relational database management system, and XML is a markup language for encoding structured data. SQLite itself doesn't inherently support XML parsing. However, if you have XML data that you want to store in SQLite or retrieve from SQLite, you can follow a process of converting between XML and SQLite data.

Here's a general approach:

Storing XML in SQLite:

1. Convert XML to a Text Representation: Convert your XML data into a text representation, for example, by serializing it as a string. This can be done using XML serialization libraries available in your programming language.

2. Store the Text in a SQLite Table: Create a table in SQLite with a column to store the serialized XML text. Insert the XML data into this table.

CREATE TABLE xml_data (id INTEGER PRIMARY KEY, xml_text TEXT);
INSERT INTO xml_data (xml_text) VALUES ('value');

Retrieving XML from SQLite:

1. Retrieve the Text from the SQLite Table: Query the SQLite table to retrieve the stored XML text.

SELECT xml_text FROM xml_data WHERE id = 1;

Convert Text to XML: Deserialize the retrieved text back into XML using XML parsing libraries.

Example in Python using the xml.etree.ElementTree module:

import xml.etree.ElementTree as ET

# Retrieve XML text from SQLite (replace with actual retrieval logic)
xml_text = "value"

# Parse XML text
root = ET.fromstring(xml_text)

# Access XML elements as needed
element_value = root.find('element').text
print("Element value:", element_value)

This is a basic approach, and the exact steps may depend on the programming language you're using and the tools available in that language for XML serialization and deserialization.

If you're working with XML data frequently, consider exploring databases designed for handling XML, such as XML databases or document-oriented databases, which may offer more native support for XML storage and retrieval. SQLite, being a relational database, is optimized for relational data rather than XML.

In Perl, regular expressions (regex) are a powerful tool for parsing and manipulating text. Below is a basic example of using Perl regex to parse text. Please note that the regex patterns and the parsing logic depend on the specific structure of your text data.

Let's assume you have a simple text string with information about people, and you want to extract names and ages. Here's an example:

use strict;
use warnings;

my $text = "John Doe, age 30; Jane Smith, age 25; Bob Johnson, age 40";

# Define a regex pattern to match names and ages
my $pattern = qr/(\w+\s+\w+),\s+age\s+(\d+)/;

# Use the regex pattern to extract information
while ($text =~ /$pattern/g) {
    my $name = $1;
    my $age = $2;
    print "Name: $name, Age: $age\n";
}

In this example:

• The text contains information about people, where each entry is separated by a semicolon.

• The regex pattern (\w+\s+\w+),\s+age\s+(\d+) is used to match names and ages. Breaking down the pattern:

  • (\w+\s+\w+): Matches names consisting of one or more word characters (letters, digits, underscores) separated by whitespace.
  • ,: Matches the comma separating the name and age.
  • \s+age\s+: Matches the string "age" surrounded by whitespace.
  • (\d+): Matches one or more digits representing the age.

• The while ($text =~ /$pattern/g) loop iterates through matches found in the text.

• Inside the loop, $1 and $2 capture the matched name and age, respectively.

In Node.js, you can introduce delays in your scraping logic using the setTimeout function, which allows you to execute a function after a specified amount of time has passed. This is useful for implementing delays between consecutive requests to avoid overwhelming a server or to comply with rate-limiting policies.

Here's a simple example using the setTimeout function in a Node.js script:

const axios = require('axios'); // Assuming you use Axios for making HTTP requests

// Function to scrape data from a URL with a delay
async function scrapeWithDelay(url, delay) {
  try {
    // Make the HTTP request
    const response = await axios.get(url);

    // Process the response data (replace this with your scraping logic)
    console.log(`Scraped data from ${url}:`, response.data);

    // Introduce a delay before making the next request
    await sleep(delay);

    // Make the next request or perform additional scraping logic
    // ...

  } catch (error) {
    console.error(`Error scraping data from ${url}:`, error.message);
  }
}

// Function to introduce a delay using setTimeout
function sleep(ms) {
  return new Promise(resolve => setTimeout(resolve, ms));
}

// Example usage
const urlsToScrape = ['https://example.com/page1', 'https://example.com/page2', 'https://example.com/page3'];

// Loop through each URL and initiate scraping with a delay
const delayBetweenRequests = 2000; // Adjust the delay time in milliseconds (e.g., 2000 for 2 seconds)
for (const url of urlsToScrape) {
  scrapeWithDelay(url, delayBetweenRequests);
}

In this example:

• The scrapeWithDelay function performs the scraping logic for a given URL and introduces a delay before making the next request.
• The sleep function is a simple utility function that returns a promise that resolves after a specified number of milliseconds, effectively introducing a delay.
• The urlsToScrape array contains the URLs you want to scrape. Adjust the delay time (delayBetweenRequests) based on your scraping needs.

Please note that introducing delays is crucial when scraping websites to avoid being blocked or flagged for suspicious activity.

To view proxy settings on your computer, follow these steps based on your operating system:

Windows:

1. Open the Control Panel.
2. Click on "Internet Options."
3. Go to the "Connections" tab and click "LAN settings."
4. Check the "Use a proxy server for your LAN" option to view the current proxy settings.

macOS:

1. Open System Preferences.
2. Click on "Network."
3. Select your active network connection (e.g., Wi-Fi or Ethernet).
4. Click the "Advanced" button.
5. Go to the "Proxies" tab to view the current proxy settings.