IP | Country | PORT | ADDED |
---|---|---|---|
203.99.240.182 | jp | 80 | 30 minutes ago |
125.228.94.199 | tw | 4145 | 30 minutes ago |
50.172.75.121 | us | 80 | 30 minutes ago |
213.157.6.50 | de | 80 | 30 minutes ago |
50.174.7.157 | us | 80 | 30 minutes ago |
203.99.240.179 | jp | 80 | 30 minutes ago |
195.23.57.78 | pt | 80 | 30 minutes ago |
50.217.226.43 | us | 80 | 30 minutes ago |
50.172.39.98 | us | 80 | 30 minutes ago |
50.172.75.125 | us | 80 | 30 minutes ago |
82.119.96.254 | sk | 80 | 30 minutes ago |
50.144.208.237 | us | 80 | 30 minutes ago |
168.126.68.80 | kr | 80 | 30 minutes ago |
1.94.31.35 | cn | 8888 | 30 minutes ago |
41.207.187.178 | tg | 80 | 30 minutes ago |
125.228.143.207 | tw | 4145 | 30 minutes ago |
189.202.188.149 | mx | 80 | 30 minutes ago |
122.116.29.68 | tw | 4145 | 30 minutes ago |
103.97.94.22 | in | 4153 | 30 minutes ago |
80.228.235.6 | de | 80 | 30 minutes ago |
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To quickly scrape a large number of sites using Node.js, you can leverage asynchronous programming and utilize libraries like axios for making HTTP requests and cheerio for parsing HTML. Additionally, you may consider using the p-queue library to manage the concurrency and control the rate of requests. Here's a basic example to get you started
Install Required Packages:
npm install axios cheerio p-queue
Create a Scraper Script:
const axios = require('axios');
const cheerio = require('cheerio');
const PQueue = require('p-queue');
// List of sites to scrape
const sites = [
'https://example1.com',
'https://example2.com',
// Add more URLs as needed
];
// Set the concurrency level (adjust as needed)
const concurrency = 5;
// Initialize a queue with concurrency control
const queue = new PQueue({ concurrency });
// Function to scrape a single site
async function scrapeSite(url) {
try {
const response = await axios.get(url);
const $ = cheerio.load(response.data);
// Use Cheerio to parse and extract data
const title = $('title').text();
console.log(`Scraped ${url} - Title: ${title}`);
} catch (error) {
console.error(`Error scraping ${url}: ${error.message}`);
}
}
// Enqueue scraping tasks for each site
sites.forEach((site) => {
queue.add(() => scrapeSite(site));
});
// Wait for all tasks to complete
queue.onIdle().then(() => {
console.log('All scraping tasks completed.');
});
This example uses axios for making HTTP requests, cheerio for HTML parsing, and p-queue for controlling concurrency.
Run the Script:
node your_scraper_script.js
Adjust the sites array with the URLs you want to scrape.
This example uses a simple queue system to control the number of concurrent requests, preventing potential issues with rate limiting or overwhelming the target websites. However, be mindful of the websites' terms of service and robots.txt rules to avoid scraping restrictions.
After authorization in Selenium, you can navigate to another page using the get() method. The following steps outline the process:
Locate the login button, username field, and password field.
Input your username and password into the respective fields.
Click the login button to submit the form.
After successful authorization, navigate to the desired page.
Here's an example using Python:
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
driver = webdriver.Chrome()
driver.get("https://www.example.com/login")
# Locate the username field, password field, and login button
username_field = driver.find_element(By.ID, "username")
password_field = driver.find_element(By.ID, "password")
login_button = driver.find_element(By.ID, "login-button")
# Input your username and password
username_field.send_keys("your_username")
password_field.send_keys("your_password")
# Click the login button
login_button.click()
# Wait for the page to load after authorization
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "post-login-button")))
# Navigate to another page
driver.get("https://www.example.com/new-page")
In this example, replace "https://www.example.com/login", "username", "password", "login-button", and "your_username", "your_password" with the actual values for the website you are working with. Also, replace "https://www.example.com/new-page" with the URL of the page you want to navigate to after authorization.
Note that the example uses explicit waits to wait for the page to load after authorization. This is a good practice to ensure that the next actions are performed only after the page is fully loaded.
To click on ReCaptcha in Selenium, you can use the click() method. Here's an example of how to do it:
from selenium import webdriver
# Replace the path with the path to your ChromeDriver
driver = webdriver.Chrome('/path/to/chromedriver')
# Replace 'your_url' with the URL of the webpage that contains the ReCaptcha
driver.get('your_url')
# Replace 'reCaptchaCheckbox' with the id or name of the ReCaptcha checkbox
reCaptchaCheckbox = driver.find_element_by_id('reCaptchaCheckbox')
reCaptchaCheckbox.click()
# Close the browser
driver.quit()
Make sure to replace the placeholders with the appropriate values for your specific use case.
To use free proxies, find a reputable proxy list, choose a proxy server, configure your browser or software, test the connection, monitor your connection, and be cautious due to potential security risks. Alternatively, consider using a paid proxy service for better reliability and security.
The "Unexpected token while deserializing object" error usually occurs when the JSON you are trying to parse contains invalid syntax or unexpected characters. To fix this error, follow these steps:
1. Check the JSON structure: Ensure that the JSON string you are trying to parse is well-formed and follows the correct syntax. JSON should only contain valid characters, such as alphanumeric characters, whitespace, and a few special characters like quotes, brackets, and colons.
2. Remove or escape unexpected characters: If the JSON string contains unexpected characters, such as line breaks or comments, remove them or escape them using the appropriate escape sequences. For example, replace line breaks with \n and comments with //.
3. Validate the JSON string: Use a JSON validator tool, such as JSONLint, to check if the JSON string is valid and properly formatted. If there are any syntax errors, the validator will point them out, allowing you to fix them.
4. Use a JSON parser: If you are using a programming language like JavaScript, use a JSON parser to parse the JSON string. For example, in JavaScript, you can use the JSON.parse() method to parse the JSON string:
try {
const jsonObject = JSON.parse(jsonString);
// Work with the parsed object...
} catch (error) {
console.error("Error parsing JSON:", error);
}
5. Handle exceptions: When using a JSON parser, make sure to handle exceptions that may occur if the JSON string is invalid. This will help you identify and fix any issues with the JSON string.
By following these steps, you should be able to fix the "Unexpected token while deserializing object" error and successfully parse the JSON string.
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