Residential Proxies

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.