Enhance your web scraping workflows with Bright Data and BeautifulSoup. This guide walks you through integrating Bright Data proxies into your Python scripts to ensure secure, reliable, and anonymous data collection.
Expand to get your Bright Data Proxy Access Information
Bright Data proxies are grouped in “Proxy zones”. Each zone holds the configuration for the proxies it holds.
To get access to the proxy zone:
To access Bright Data’s Residential Proxies you will need to either get verified by our compliance team, or install a certificate. Read more…
If you target a search engine like google, bing or yandex, you need a special Search Engine Results Page (SERP) proxy API. Use Bright Data SERP API to target search engines. Click here to read more about Bright Data SERP proxy API.
In many tools you will see a “test proxy” function, which performs a conncectivity test to your proxy, and some add a geolocation test as well, to identify the location of the proxy.
To correctly test your proxy you should target those search queries to:
https://geo.brdtest.com/welcome.txt
.
Some tools use popular search engines (like google.com) as a default test target. Bright Data will block those requests and you tool will show proxy error although your proxy is perfectly fine.
If your proxy test fails, this is probably the reason. Make sure that your test domain is not a search engine (this is done in the tool configuration, and not controlled by Bright Data).
BeautifulSoup is a Python library that simplifies the process of extracting and organizing data from HTML and XML documents. Combined with Bright Data proxies, it enables you to scrape data securely and anonymously while reducing the risk of detection and blocking.
Step 0. Prerequisites
Before you start:
Download the latest Python version from python.org.
Install BeautifulSoup and the requests
library:
Step 1. Set Up the Proxy
Login to bright data account, and select the proxy zone you with to use. In the Overview, under Access details, you can find the required information to get your access information. ****
Log in to your Bright Data account and retrieve your proxy credentials:
Port: 33335
Username: Your Bright Data username. Modify it for geo-specific proxies if needed (e.g., your-username-country-US
).
Password: Your Bright Data proxy zone password.
Define your proxy details in your script:
Step 2. Implement Proxy Settings with requests and Parse Data Using BeautifulSoup
Here’s a comprehensive script that demonstrates how to integrate Bright Data with BeautifulSoup for secure data retrieval and parsing:
Step 3. Verify the Output
If the Bright Data proxy is configured correctly, you should see the IP address of the proxy displayed in the output:
Integrating Bright Data proxies with BeautifulSoup allows you to scrape data securely, anonymously, and efficiently. Whether you’re extracting structured data, accessing geo-restricted content, or managing large-scale scraping tasks, Bright Data ensures reliability and privacy for all your scraping needs. Start scraping smarter with Bright Data and BeautifulSoup today!
Enhance your web scraping workflows with Bright Data and BeautifulSoup. This guide walks you through integrating Bright Data proxies into your Python scripts to ensure secure, reliable, and anonymous data collection.
Expand to get your Bright Data Proxy Access Information
Bright Data proxies are grouped in “Proxy zones”. Each zone holds the configuration for the proxies it holds.
To get access to the proxy zone:
To access Bright Data’s Residential Proxies you will need to either get verified by our compliance team, or install a certificate. Read more…
If you target a search engine like google, bing or yandex, you need a special Search Engine Results Page (SERP) proxy API. Use Bright Data SERP API to target search engines. Click here to read more about Bright Data SERP proxy API.
In many tools you will see a “test proxy” function, which performs a conncectivity test to your proxy, and some add a geolocation test as well, to identify the location of the proxy.
To correctly test your proxy you should target those search queries to:
https://geo.brdtest.com/welcome.txt
.
Some tools use popular search engines (like google.com) as a default test target. Bright Data will block those requests and you tool will show proxy error although your proxy is perfectly fine.
If your proxy test fails, this is probably the reason. Make sure that your test domain is not a search engine (this is done in the tool configuration, and not controlled by Bright Data).
BeautifulSoup is a Python library that simplifies the process of extracting and organizing data from HTML and XML documents. Combined with Bright Data proxies, it enables you to scrape data securely and anonymously while reducing the risk of detection and blocking.
Step 0. Prerequisites
Before you start:
Download the latest Python version from python.org.
Install BeautifulSoup and the requests
library:
Step 1. Set Up the Proxy
Login to bright data account, and select the proxy zone you with to use. In the Overview, under Access details, you can find the required information to get your access information. ****
Log in to your Bright Data account and retrieve your proxy credentials:
Port: 33335
Username: Your Bright Data username. Modify it for geo-specific proxies if needed (e.g., your-username-country-US
).
Password: Your Bright Data proxy zone password.
Define your proxy details in your script:
Step 2. Implement Proxy Settings with requests and Parse Data Using BeautifulSoup
Here’s a comprehensive script that demonstrates how to integrate Bright Data with BeautifulSoup for secure data retrieval and parsing:
Step 3. Verify the Output
If the Bright Data proxy is configured correctly, you should see the IP address of the proxy displayed in the output:
Integrating Bright Data proxies with BeautifulSoup allows you to scrape data securely, anonymously, and efficiently. Whether you’re extracting structured data, accessing geo-restricted content, or managing large-scale scraping tasks, Bright Data ensures reliability and privacy for all your scraping needs. Start scraping smarter with Bright Data and BeautifulSoup today!