Bright Data Reviews

We use the solution for Data Center proxies and Data API.

The configuration was very easy, and the documentation was generally clear and direct. The relevant API documentation was somewhat hidden within the product, requiring the client to provide credentials for me to access and understand it fully. While the external documentation for developers was useful, the internal documentation differed, with a distinct API endpoint that was not publicly available. Addressing these issues would significantly improve the experience.

Someone should have basic experience with making HTTP requests and handling POST requests. Other than that, using Bright Data is relatively straightforward and follows standard industry practices.

The Bright Data API, specifically the Datasheet API, has unclear documentation. My client had to engage in extensive email correspondence to get the necessary information. Additionally, the API often experienced issues, such as sending random errors and intermittently failing to function properly.

After some investigation, we discovered that the API is limited to processing only 100 requests. New requests cannot be initiated until previous ones are completed. In many industries, exceeding request limits typically produces a clear message indicating that further requests must wait. However, with Bright Data's API, we encountered various problems, including random errors and default error messages. Sometimes, we received messages indicating that requests were denied due to exceeding limits, while other times, the default error message was sent without any specific explanation.

I have been using Bright Data for a week.

I rate the solution’s stability a six out of ten.

It is a powerful and scalable tool. Once you understand how to use it effectively, it becomes scalable. However, the entry barriers can be high when using Bright Data for the right purpose, such as developing a project based on data proxies. If you attempt multiple tasks and they fail in some cases, it can be frustrating when you're trying to achieve something significant for the first time.

I rate the solution’s scalability a six out of ten.

Support could have saved time if they had organized the documentation better. However, I have seen my clients receive replies from support, and they were very polite. There were no objections.

The initial setup is neither easy nor difficult. You need to have some experience.

Pricing depends on your budget. It's fair, but they need to improve the reliability of their proxies. Proxy drop rates should be less than five percent rather than 20-30% when using multiple proxies simultaneously.

Overall, I rate the solution an eight out of ten.

I use it for web scraping. I have to use a website named ESPNcricinfo, where I have to collect all the data of the IPL, which is better known as the Indian Premier League, a cricket tournament that happens every year in India. , I have to collect all the batting summaries and bowling summaries and match data of everything with the minutest detail of every match, and it should be done for approximately seventy matches. I have used Bright Data for the data and web scraping.

I know that the tool has three or four main features. Since I mainly used it for web scraping, it is the only thing I would like to say.

The problem with the tool is that it is not big enough. Once you get acquainted with the features and the product's system workflow, it will work properly. It is not that user-friendly.

I have been using Bright Data for a week for one of my projects. I am a user of the tool.

The tool did not break down. Actually, the errors were sometimes caused by my sending or when I missed something. The highlighting part of the error was less, or I would like to say that there were errors from my end, but the errors from the tool's end were not there.

I used to use the products by myself. My other team members haven't directly used it.

I contacted them for technical support regarding the solution's user interface, how we need to set it up, and why some things are not working. The support was great. I rate the technical support a nine and a half ten out of ten.

Positive

The product's initial setup phase was very easy.

The solution is deployed on the cloud services.

I got a type of free access, but it was through a referral from my friend. I got some credits free from the tool's end.

I learned about Bright Data from my friend. He recommended me particularly for web scraping because he used it earlier. I also got some free credits so that I could use them in my project, and I guess that was enough for me to go ahead with it.

You can definitely use it, or I would recommend it to anyone, especially those who are clear in their thinking and feel that they need to solve their problem, then you should definitely use the tool. It is important to have some proper knowledge about it, so one should do some research and then use it. The tool is not that beginner-friendly. Once you get used to it, it will work properly, fine, and smoothly.

The product solved my problem and served as a go-to tool for my whole project. It was not very easy to use initially, but once I got used to it, it was a cakewalk.

If given an option, I will definitely choose Bright Data.

I rate the tool an eight to eight and a half out of ten.

I have learned about Bright Data, a good provider of proxy servers and web scraping services. So, I decided to try it and switch to Bright Data Services. Currently, I am using it to scrape data from Amazon and LinkedIn to train an LLM model. I use the solution for both proxy server and web scraping purposes.

The most valuable feature of Bright Data is its proxy server, which effectively mimics real human behavior, avoiding complex navigation in the browser and reducing server load during scraping. This makes it easier to scrape data sets.

The solution could be improved by simplifying the setup process for new developers, as it can be complex for those without experience. Making manual settings easier and enabling a one-click setup would help bridge this gap. Everything else about Bright Data is fine.

I have been using the product for a month. 

I haven't experienced any bugs with the product. It works as expected. 

One of my friends is also using Bright Data in his company. He uses it to navigate through LinkedIn and scrape job listings, job locations, and job descriptions to train his AI model.

I chose the solution because it provided a one-step solution for proxy servers and web scraping. Earlier, I was using my personal IP address to scrape data from LinkedIn, which got me banned for around one and a half months. Bright Data offered a proxy server and web scraping capabilities from the same platform, which was very helpful. It felt like a perfect combination, like jam and cream for the same bread.

I would recommend using Bright Data. I've already suggested it to my friends who are into data scraping because Bright Data's web scraper is much more organized than other tools. For someone experienced like me, it was easy to set up and use. However, my junior, who was not experienced, found it challenging.

I rate it a nine out of ten.

We use Bright Data to gather information from various websites. It helps us enhance our internal data by collecting specific data points that we're interested in. Bright Data offers pre-set data as well as customized data scripts tailored to our requirements. This allows us to improve the quality and accuracy of the data we have.

The most valuable feature of Bright Data in the last few months has been their customer support and the availability of filters. Their customer support is responsive and helpful, especially when I needed a custom data set. The filters they offer are also great because they save time by allowing us to exclude unwanted data before pulling the full dataset.

Bright Data could improve its user interface and dashboard to make it more user-friendly. I found it confusing and difficult to navigate initially, and even after using it for two years, it still hasn't become crystal clear to me when I'm looking for specific data sets. It would be helpful if they could enhance the presentation and organization of their dashboard to make it easier for users to navigate and manage data effectively. Learning to use Bright Data may take time due to its current usability challenges, but it's manageable. However, realizing its full capabilities might take longer due to lack of clarity in data presentation.

I have been using Bright Data for the past two years.

I'd rate Bright Data a nine for stability.

It is scalable based on my experience. In our company, between five and ten people use Bright Data.

I've had positive experiences with their customer support. They are quick in their responses and turnaround for custom data requests, which was done within a few days of providing the necessary information.  

Positive

The setup and deployment of Bright Data were quite easy, requiring just an email address and password to get started. There hasn't been a need for maintenance.

We chose Bright Data over competitors based on positive feedback and discussions with them, finding that they offered what we needed. We are also exploring their APIs, which could streamline our data handling processes in the future.

If Bright Data improves its data presentation, it would increase our likelihood of continuing to use their services. 

Overall, I would rate it eight out of ten.

I used Bright Data solely for research purposes.

I appreciate the platform's services, which are affordable and offer various options. 

The product could be more user-friendly for beginners.

The platform is scalable and works well with large projects. I have not experienced any issues with scalability.

The product has average pricing. 

I advise others to have some background experience with web scraping before using the product. 

I recommend it to others and rate it a seven. 

We are using the solution to scrape financial data.

The solution has many features that are pretty useful for our company. The solution's most valuable feature is the Proxy feature.

The quality of the solution's technical support could be improved. Some people we talk to often from the support team are experts, but some people have less experience in the IDE than me.

I have been using Bright Data since October 2023.

There are some issues with the solution's stability. When they do updates, it usually drops the whole IDE, which is not good. However, those are minor issues that are usually resolved in around 30 minutes.

I rate the solution’s stability a six out of ten.

The solution's scalability is pretty good and is constantly improving. Around five users are using the solution in my organization.

I rate the solution’s scalability a nine out of ten.

I've been using Beautiful Soup by Python for web scraping. That was just my project, and it wasn't in the company. I was testing something, so I programmed it by myself.

The solution's initial setup was easy for me because my colleagues had already worked on it, but it could have been easier.

I don’t think the solution’s pricing is expensive.

You must have some basic knowledge of programming languages to use Bright Data. I'm using the IDE tool, which runs on JavaScript. I would recommend the solution to other users because it's pretty useful. If someone needs data, they can easily use the IDE that Bright Data offers.

Overall, I rate the solution an eight out of ten.

I use Bright Data to scrape web pages for an e-commerce platform project. I needed to gather data from various sources, such as Amazon, to create a comprehensive database of products.

The platform's most valuable feature is the availability of predefined templates for data sets and collections. It lets users quickly specify their data requirements without writing code from scratch. For instance, I could easily scrape data from Amazon by selecting the appropriate template and specifying the data I needed, such as iPhone details or tech gadgets.

The product's primary area for improvement is the documentation. As a developer, I rely heavily on comprehensive and up-to-date documentation. However, it did not always reflect the latest product updates, which led to difficulties and delays.

I rate the product stability a seven. 

The solution is scalable. It offers features tailored to various project sizes and requirements, making it suitable for both small—and large-scale data scraping needs. 

I rate the scalability a seven.

My experience with customer service and support was positive. They were responsive and addressed my concerns, particularly regarding the documentation.

Positive

The initial setup was relatively straightforward, especially with the predefined templates available. However, navigating through the documentation presented some challenges due to its outdated nature.

The product pricing is reasonable for its features.

I evaluated other options, including ZenRows, another web scraping platform. However, I ultimately decided on this solution due to its comprehensive features and the positive experience during the hackathon.

Before using the solution, I would advise new users to familiarize themselves with the basics of web scraping. Having a fundamental understanding will make it easier to utilize the platform effectively. Additionally, contacting customer support for any queries can be helpful as they are quite responsive.

I rate it an eight out of ten.