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This page is an index of video tutorials for Bright Data Scraper Studio. Each video pairs with a written guide in the docs. Pick the topic that matches what you are building and jump straight in.

Getting started

Introduction to Bright Data Scraper Studio

A guided tour of the Bright Data Scraper Studio IDE: templates, proxy networks, and how to build multiple scrapers in one flow. Start here if you have never built a scraper on Bright Data before.
Pair with: Understanding Scraper Studio

Platform overview: project setup, proxies, and automation

A walkthrough of essential Bright Data Scraper Studio features: project setup, proxy creation and management, and scheduling automated collection runs.
Pair with: Scraper Studio IDE interface

Building scrapers

Scrape data from Amazon search results

How to scrape Amazon search results, build a scraper that walks paginated results, and rely on the Bright Data proxy network to avoid blocks.
Pair with: Develop a scraper

Walk search results with for loops

How to use a for loop to navigate hundreds of result pages, extract links to each listing, and collect data with parse() and collect(). Covers proxy manager setup, basic templates, input targeting, running and testing code, and reading logs.
Pair with: Web scraping basics

Use templates and deploy multiple scrapers

How to start from an IDE template, build a Walmart scraper, deploy it to the proxy network, and collect the data into a single API response.
Pair with: Scraper Studio functions

Build a Python scraper end-to-end

Building a Python project that uses Bright Data Scraper Studio templates, modifies the code, previews results, configures delivery, and retrieves data via API.
Pair with: Initiate collection and delivery

Handling challenging sites

Scrape dynamic sites with utility functions

How to scrape a heavily dynamic site with Bright Data’s browser helpers: waiting for grids to render, looping over grid cells, and using next_stage() to fan out detail collection.
Pair with: Best practices

Automate Airbnb with a Python scraper

How to customize a Bright Data Scraper Studio template to scrape Airbnb, plus the API flow for triggering the scraper and retrieving results.
Pair with: Scraper Studio AI Agent

Debugging and delivery

Debug a scraper and configure delivery

How to debug a scraper in the IDE, read the run log and errors, and choose a delivery method (API endpoint or Amazon S3).
Pair with: Scraper Studio IDE interface

End-to-end data engineering with Tableau

A longer walkthrough: proxy manager, API integrations, building a scraper from a template, using input for products or categories, running code, and reading logs for debugging.
Pair with: Features reference

Understanding Scraper Studio

How Bright Data Scraper Studio works and when to use it

Develop a scraper

Step-by-step walkthrough of building a scraper in the IDE