brightdata.com Open in urlscan Pro
104.18.24.60  Public Scan

Submitted URL: http://url289.brightdata.com/ls/click?upn=u001.yznX10lPC5qwS59NtqvzcMqE7Mfsi7UspOXD-2BRXuNH4-3Dr9O0_ZMm6De7Trv3QjYWYND-2BcSyt...
Effective URL: https://brightdata.com/
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Selenium, Puppeteer and Playwright Experts Share Their Dynamic Scraping Playbook
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HOW DEVELOPERS LEVERAGE BRIGHT DATA

 * 6:16
   Scraping, API, Web Data
   Industrial-scale Web Scraping with AI & Proxy Networks
 * 13:06
   Scraping, Web Data, Ecommerce
   A Million Dollar Businness Idea – Web Scraping 101
 * 15:16
   NoCode, Web Data, Datasets
   How to manage HUGE datasets – 3 tips to get stated
 * 35:48
   NoCode, Python, Datasets
   SQL Data Analytics Project – Real Estate Case Study
 * 28:27
   Python, Web Data, Datasets
   How I Work With Millions of Data Rows Using Python
 * 29:13
   ML/AI, Web Data, Code
   ChatGPT Functions – Crate a Function for Web Scraping
 * 7:29
   Scraping, Web Data, Datasets
   The Data Edge in Financial Markets – ‘Billions’ Season 7
 * 6:24
   Scraping, API, Code
   I Made a Future Proof API With AI and Web Data
 * 3:29:31
   Scraping, API, Web Data, Code, Ecommerce
   Let’s build a WEB SCRAPER with React! (Next.js 13.2, Firebase, Webhooks,
   TypeScript)
 * 12:55
   Web Data, Datasets
   I Analyzed a 1.3M Product Review Dataset with ChatGPT
 * 56:15
   NoCode, Web Data, Datasets
   I Used Web Data to Identify Market Trends
 * 18:52
   NoCode, Scraping, API
   How to Scrape UNSCRAPABLE data! Node.js + API
 * 6:16
   Scraping, API, Web Data
   Industrial-scale Web Scraping with AI & Proxy Networks
 * 13:06
   Scraping, Web Data, Ecommerce
   A Million Dollar Businness Idea – Web Scraping 101
 * 15:16
   NoCode, Web Data, Datasets
   How to manage HUGE datasets – 3 tips to get stated
 * 35:48
   NoCode, Python, Datasets
   SQL Data Analytics Project – Real Estate Case Study
 * 28:27
   Python, Web Data, Datasets
   How I Work With Millions of Data Rows Using Python
 * 29:13
   ML/AI, Web Data, Code
   ChatGPT Functions – Crate a Function for Web Scraping
 * 7:29
   Scraping, Web Data, Datasets
   The Data Edge in Financial Markets – ‘Billions’ Season 7
 * 6:24
   Scraping, API, Code
   I Made a Future Proof API With AI and Web Data
 * 3:29:31
   Scraping, API, Web Data, Code, Ecommerce
   Let’s build a WEB SCRAPER with React! (Next.js 13.2, Firebase, Webhooks,
   TypeScript)
 * 12:55
   Web Data, Datasets
   I Analyzed a 1.3M Product Review Dataset with ChatGPT
 * 56:15
   NoCode, Web Data, Datasets
   I Used Web Data to Identify Market Trends
 * 18:52
   NoCode, Scraping, API
   How to Scrape UNSCRAPABLE data! Node.js + API
 * 6:16
   Scraping, API, Web Data
   Industrial-scale Web Scraping with AI & Proxy Networks
 * 13:06
   Scraping, Web Data, Ecommerce
   A Million Dollar Businness Idea – Web Scraping 101
 * 15:16
   NoCode, Web Data, Datasets
   How to manage HUGE datasets – 3 tips to get stated
 * 35:48
   NoCode, Python, Datasets
   SQL Data Analytics Project – Real Estate Case Study
 * 28:27
   Python, Web Data, Datasets
   How I Work With Millions of Data Rows Using Python
 * 29:13
   ML/AI, Web Data, Code
   ChatGPT Functions – Crate a Function for Web Scraping
 * 7:29
   Scraping, Web Data, Datasets
   The Data Edge in Financial Markets – ‘Billions’ Season 7
 * 6:24
   Scraping, API, Code
   I Made a Future Proof API With AI and Web Data
 * 3:29:31
   Scraping, API, Web Data, Code, Ecommerce
   Let’s build a WEB SCRAPER with React! (Next.js 13.2, Firebase, Webhooks,
   TypeScript)
 * 12:55
   Web Data, Datasets
   I Analyzed a 1.3M Product Review Dataset with ChatGPT
 * 56:15
   NoCode, Web Data, Datasets
   I Used Web Data to Identify Market Trends
 * 18:52
   NoCode, Scraping, API
   How to Scrape UNSCRAPABLE data! Node.js + API

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OUR CUSTOMERS


THE BEST CUSTOMER EXPERIENCE IN THE INDUSTRY

 * Within our product focus, we need all the reliable public web data we can
   get, in order to provide real-time valuable insights to our customers.
   David Amézquita
   Product Manager at Container xChange
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 * We plan to become one of the leaders in Europe for data projects dedicated to
   marketing intelligence, and Bright Data acts as an honorary member of our
   team, keeping our future success in mind.
   Irwan Djoehana
   Founder at Retail Shake
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 * Having the best quality and quantity of data is the most important thing, and
   that’s where the combination of Bright Data and tgndata works.
   George Koutsoudopoulos
   CEO at tgndata
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 * Without the ability to collect public web data from the internet, we are
   unable to know when a brand was present across all mediums, there’s no way
   that we could keep growing at the speed in which we are without Bright Data’s
   support.
   Sarah Melville
   Media Director at YouGov Sport
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 * Working with Bright Data has been an amazing experience. Our account manager
   helps us in every aspect and makes us and our customers even more successful.
   Lenilson Porath
   CTO at Effecti
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 * Without Fornova’s vital competitive intelligence based on Bright Data, for
   example, our hotels are effectively flying blind and losing revenue.
   Dori Stein
   CEO at Fornova
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Bright Data Ltd. (Headquarters), 4 Hamahshev St., Netanya 4250714, Israel (POB
8025).
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United States.