Data Center Proxies

What do you like best about the product?

I really find Bright Data helpful for obtaining data in a more accessible way. The data is affordable and of high quality, which makes it ideal for my research. I also appreciate their customer service, which is very thoughtful and meets you where you are. It’s very helpful to have appropriate filters for data to ensure thorough, detailed, and accurate analyses. The ease of setup was great too, largely because their customer service team was very open and available to answering questions.

What do you dislike about the product?

While filters can be really helpful, it is sometimes difficult to effectively sort through the data and clean it. I think this is a problem for broader data handling in general, too. It would be really helpful if Bright Data could make the cleaning process easier. I've been really happy with my experience with them, but improving the data cleaning process would be great.

What problems is the product solving and how is that benefiting you?

I find Bright Data provides accessible, affordable data, making it easier to access rich and meaningful data for research without high costs.

What do you like best about the product?

The platform is very intuitive to use, while also offering different products such as ready-to-use datasets and web scrapers that allow you to build your own dataset, customized to your needs.

What do you dislike about the product?

The ready-to-use datasets could be updated more frequently, and the web scraper could offer a bit more customization—for example, letting me choose a specific start and end date. Right now, I can only select how many days back to scrape.

What problems is the product solving and how is that benefiting you?

They offer an easy way to obtain and collect many different types of data, which can be useful for marketing practitioners as well as researchers.

What do you like best about the product?

Bright data is one of the only ways I know to easily get access to current and historical social media data. It is also easy to use and has good customer service. The pro bono data access for academic projects is also a major plus.

What do you dislike about the product?

Sometimes its unclear how the data is collected. But I mostly am happy.

What problems is the product solving and how is that benefiting you?

Bright data is making it much easier to access current social media data, which became a big issue when Twitter/Reddit shut down their APIs.

What do you like best about the product?

I use Bright Data for large-scale web data collection to support my academic research. What I like most about Bright Data is its reliability and flexibility for difficult web data collection. The Web Unlocker feature has been particularly useful for recovering pages that standard requests could not access, enhancing the historical coverage of my research datasets. I appreciate the support from the Bright Data Initiative team, especially their responsiveness and understanding of the research use case beyond just providing tools. Additionally, the transparency and control over the collection process that Bright Data offers are invaluable, allowing me to retry challenging pages and differentiate between successful and failed retrievals, which simplifies auditing the data. The platform's visibility into where coverage gaps remain is critical for maintaining the reproducibility and quality of the data I collect. The initial setup was quite straightforward, with example scripts to follow, making the process smoother.

What do you dislike about the product?

One area that could be improved is the experience around historical data discovery. It's not always immediately clear which Bright Data product is best suited for accessing older content or how far back a particular dataset or scraper can reliably go. The support team, however, has been very helpful in working through these issues.

What problems is the product solving and how is that benefiting you?

Bright Data helps me overcome access and coverage gaps in historical web data, making it easier and more reliable to retrieve older news pages and improve dataset completeness for my research.

What do you like best about the product?

Great diverse proxy infrastructure with all level – from super affordable to super stable and a bit more expensive.

Very thoughtfully made API for integrations with highest level of flexibility we've seen in the market.

Great user interface that allows even non-tech users create scrapers with a little help of AI built into product.

Onboarding is super smooth thanks to how-to videos, great UX, documentation. 10/10 here – rare example in the market.

The company Is on top of all the changes in the data extraction world. We use multiple proxy infra, scarring tools simultaneously and always see how Bright Data ship features months in advance compared t other vendors.

I also appreciate the ethical approach BD has , which might be inconvenient short term but long term gives you a reliable tested data handling partner.

What do you dislike about the product?

Not sure if it's the problem of our overall data tracking architecture (yet we do use parallel-running scrapers), 3rd party platforms we extract data from, or it's the BD's side – but sometimes it takes too long to complete the job

What problems is the product solving and how is that benefiting you?

Bright Data helps us extract data from Cloud Flare - powered sites automatically, without having to babysitting workflows and do things manually. We have workflows running on the AI agent side, as well as wishing low-code automation tools (Make + n8n) and we then pull the structured dat into our database and do manipulations from there.
For some automations we also use BD's built in automated browsing capabilities to access to hardest sites and extracts data from there.

What do you like best about the product?

Bright Data gives us the level of stability that other Proxy infrastructure providers never give – we get job done much faster. Even more, we pay only for succesfull requests so the tool is cost effective too. The cherry on top is their AI scraping builders that are trained on their platform capabilities and give more stable code vs. just trying to get the same orchestration from ChatGPT/Claude. And when you face issues – their support team can always help with advice.

What do you dislike about the product?

We are limited with scraping data from several sources – and even though our approach is purely ethical, because we're small – we are not really able to get certain sites to work for us too (in terms of data extraction/validation)

What problems is the product solving and how is that benefiting you?

We keep an eye on competitors, we track changes in forms – so we work with the latest ones and give our customers proper documents to apply. We track changes in important laws and legal practices so we provide clients valuable data. And we also integrate all that with n8n and Claude to get all that automatically.

What do you like best about the product?

The quality of the service is incredible, and the customer service is excellent. They also have a vast and stable network, ensuring that the proxy pool remains uncluttered. Additionally, they adhere to strict compliance measures, which I appreciate.

What do you dislike about the product?

There are very few downsides. However, the only issue is they wont let you buy more zones. They work very well with you to reduce costs for enterprise clients.

What problems is the product solving and how is that benefiting you?

Before implementing Bright Data, we struggled with frequent blocks and routing failures during automated data collection, but now we can seamlessly manage large-scale proxy pools through our custom routing server infrastructure, which has resulted in 99.9% uptime and zero compliance bottlenecks.

We used to spend countless hours debugging unstable proxy connections and compliance issues, but implementing Bright Data's proxy network has allowed us to automate our high-volume workflows effortlessly while ensuring strict adherence to target site protocols and data guidelines.

What do you like best about the product?

Tested over 15 different options for competitor website/product monitoring and eventually ended up with Bright Data as it provides the best and easy-to-use user interface, streamlined on-boarding (with tonns of useful articles/videos), affordable pricing, powerful AI features for building scraping agents, and have multiple locations that extend my scraping capabilities with the attachment to Geo-locations

What do you dislike about the product?

The only limitation I can think of is they only allow purely ethical approaches, so might not be the best solution for shady-type scraping folks (not our case).

What problems is the product solving and how is that benefiting you?

It scrapes websites of our competitors on a schedule and outputs data in a structured format; it builds automations for us, and provides proxy infrastructure used on the backend

What do you like best about the product?

I like the excellent customer service and the very good solutions that Bright Data offers. Additionally, I appreciate the wide variety of services it provides to solve different problems. Another positive aspect is that it integrates very well with different tools, which is very convenient. I also found that the initial setup was excellent. In our experience of over 4 years, everything has worked well.

What do you dislike about the product?

So far everything has been very functional

What problems is the product solving and how is that benefiting you?

I use Bright Data to facilitate web data extraction, resolve blocks, create and maintain scrapers with their APIs.

What do you like best about the product?

What I find most valuable about Bright Data is the access they provide to reliable datasets. As an academic, obtaining high-quality data is not always easy, especially when conducting research intended to improve teaching practices. Having access to dependable and relevant data has therefore been a significant benefit.

I have also greatly appreciated being connected with Dani, who has been an exceptional partner throughout the process. She walked me through the platform, helped me access the data needed for our project, and worked closely with us to identify additional datasets that could support our research.

Academics are often balancing research with demanding teaching and personal responsibilities, so projects do not always progress according to the original timeline. There were occasions when our data credits were approaching expiration before we had been able to fully use them. The team was patient, flexible, and understanding, working with us to extend or update access without placing unnecessary pressure on us.

The quarterly check-ins have also been extremely helpful. They provide a valuable sense of accountability as we work toward producing publishable research, while also creating opportunities to discuss any additional data needs. Overall, I am very grateful for the team’s responsiveness, flexibility, and genuine commitment to supporting academic research.

What do you dislike about the product?

There is very little that I dislike about Bright Data, particularly because this initiative is designed to help nonprofit institutions and academics gain access to reliable data.

At the same time, no dataset is perfect. For example, the LinkedIn dataset primarily contains recent job postings and offers limited archival data. Historical postings would be especially valuable for research examining how employer signals and workforce expectations have changed over time. However, this limitation does not appear to be specific to Bright Data. It largely reflects the nature of the source platform, since LinkedIn job postings expire and may no longer be available for collection.

I also appreciated Dani’s responsiveness in helping us explore alternatives. When we discussed the limitations of the LinkedIn data, she suggested that we consider an Indeed dataset that might better support our research needs. Overall, the limitations I encountered were primarily associated with the platforms from which the data were collected rather than with Bright Data itself.

What problems is the product solving and how is that benefiting you?

Bright Data is addressing one of the most significant challenges academics face: access to reliable data. I would even go so far as to describe the initiative as a godsend. When I initially contacted Bright Data, I was prepared to purchase the data. Instead, the team reached out to let me know that I might qualify for an initiative that provides nonprofit organizations and academic researchers with access to data for research purposes.

Data access can be extremely difficult and costly, and these constraints sometimes force academics to pursue research based on what data are readily available rather than the questions that are most important. Bright Data has enabled me to investigate questions that have direct implications for students, universities, and teaching practices.

My research was motivated by the rapid democratization of data analytics and artificial intelligence. As generative AI became embedded in many of the tools used by business analysts, my students became increasingly concerned about their futures. Some came to my office and asked whether they should still major in business analytics now that the tools used in the profession are increasingly powered by generative AI. As their professor, I felt that I should have answers, but I did not yet have evidence-based answers.

That experience motivated me to study employer signals and better understand the competencies organizations are seeking in an AI-enabled workplace. Bright Data has been an invaluable partner in pursuing that objective. I am deeply grateful for the access to data, the ongoing support, and the opportunity to conduct research that may help universities better prepare students for the future of work. I look forward to continuing the partnership, analyzing the data, and discovering what the evidence reveals.