Bright Data Reviews

1. Sam Mitchell

   | Owner at KittenProperties | 4 months ago
   Mixed feelings

   We used their DC proxies and Residential proxies. Resi proxies were having quite low success rate. We had to use resi solution from other proxy providers. Unblocker didn't work well either also it was way too expensive.

   🏁 Competitors: Smartproxy, NetNut.io

   👍 Pros:    Cheap dc proxies

   👎 Cons:    Quite expensive|Residential proxies are worse than competitiors

Python Reviews

Bright Data mentions (29)

• Best Amazon Scraper APIs To Check Out in 2024

  Every person in the data scraping industry may have heard of the name BrightData. They are the biggest web scraping and proxy provider company in the industry, which offers dedicated scrapers for every major website known for collecting data by developers worldwide, including Amazon. - Source: dev.to / 24 days ago

• Basic Web Browser with Electron +APIS

  Bright Data (formerly Luminati): One of the largest providers with a wide range of customization options and a large number of IPs available. However, their pricing and usage structure can be complex, especially for new users (Proxyway). - Source: dev.to / about 2 months ago

• Scraping the unscrapable in Python using Playwright

  Create a new account on Bright Data to gain access to the admin dashboard of the Scraping Browser for the proxy integration with your application. - Source: dev.to / 12 months ago

• Web scraping using a headless browser in NodeJS

  Create an account on Bright Data to access all its services. But for this project, the focus would be on the Scraping Browser functionality. - Source: dev.to / 12 months ago

• Private subnet to public NAT to another Public AWS IP address should go public internet, right?

  Luminati, now called https://brightdata.com offers a service which would grant access to residual IPs. Source: about 1 year ago

Python mentions (283)

• Unlocking Python: Essential Insights and Learning for JavaScript Developers

  Automate the Boring Stuff with Python: https://automatetheboringstuff.com Learn Python 3 Course https://www.codecademy.com/courses/learn-python-3 Official Python Documentation: https://python.org. - Source: dev.to / 4 days ago

• Choosing Between AIOHTTP and Requests: A Python HTTP Libraries Comparison

  Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 23 days ago

• Marking macOS component packages available based on hardware platform type

  Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / about 2 months ago

• Python String Formatting: A Comprehensive Guide to F-strings

  F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 5 months ago

• Don’t Block entire Python Thread: Use Asynchronous Programming Instead

  Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 6 months ago