Technology Guides for engineers building with web data
In-depth guides on web scraping, AI training data, data engineering, anti-bot bypass, compliance and integrations. Written by our engineers from real production experience. 22+ guides across 6 categories. New ones added weekly.
Featured guides this month.
How to Scrape Amazon Product Data: A Complete Guide
Step-by-step walkthrough on extracting ASINs, prices, ratings, variants, and Buy Box data from Amazon. Python code samples included.
Building Training Datasets for Retail LLMs
How to source, clean, and structure product data for fine-tuning foundation models. Schema design, deduplication, and quality control.
Building Data Pipelines for E-Commerce Intelligence
End-to-end architecture for ingesting, transforming, and serving e-commerce data. Airflow, dbt, and warehouse patterns.
Browse our complete guide library.
Web Scraping with Python: Best Practices for 2026
Modern Python web scraping techniques. Async patterns, error handling, rate limiting, and production deployment strategies.
Headless Browser Scraping: Playwright vs Puppeteer vs Selenium
Detailed comparison of the three leading headless browser tools. Performance benchmarks, code examples, and when to use which.
How to Handle Pagination in Web Scraping
Common pagination patterns (offset, cursor, infinite scroll) and how to scrape each. Real examples from Walmart, Flipkart, Shopee.
Scraping Quick Commerce: Blinkit, Zepto & Instamart
How to extract pincode-level data from quick commerce platforms. Geo-targeting, hyperlocal pricing, dark store inventory.
Scraping JavaScript-Heavy SPAs: A Practical Guide
React, Vue, Angular sites need different scraping approaches. Learn how to handle dynamic content, API interception, and state extraction.
Live Web Data for RAG: The Complete Guide
Retrieval-Augmented Generation needs fresh data. Learn how to plug live scraped data into your RAG pipeline with proper indexing.
How AI Agents Use Live Product Data
Building shopping AI agents with real-time product context. MCP integration, tool calls, and live inventory awareness.
Web Scraping for AI Training: Legal & Technical
The intersection of web scraping and AI training data. Licensing considerations, content provenance, and ethical sourcing.
How to Choose a Web Scraping API: Buyer's Guide
Evaluation framework for web scraping APIs. Coverage, latency, pricing models, and key questions to ask vendors before signing.
Integrating Web Scraping API with Python
Production-grade integration patterns. Async requests, retry logic, webhook handling, and batch processing best practices.
Building Real-Time Data Pipelines
Architecture patterns for streaming web data into your warehouse. Kafka, Kinesis, and direct webhook-to-warehouse flows.
Bypassing Cloudflare, Akamai & PerimeterX
Understand modern anti-bot systems and the (legitimate) techniques used to scrape protected sites at scale without violating ToS.
Building Resilient Scrapers: Retry, Backoff & Failure Handling
Production-grade resilience patterns for web scrapers. Exponential backoff, circuit breakers, dead-letter queues, and graceful degradation.
CAPTCHA Solving: Strategies That Actually Work
Modern CAPTCHA bypass approaches. hCaptcha, reCAPTCHA v3, Cloudflare Turnstile, and how to handle them at scale.
Snowflake Integration Patterns for Web Data
Loading scraped data into Snowflake. Streaming with Snowpipe, batch with COPY, and incremental refresh strategies.
BigQuery for Web Scraping Data
BigQuery patterns for product data. Partitioning, clustering, materialized views, and cost optimization.
GDPR & Web Scraping: A Practical Guide
How to scrape responsibly under GDPR. Public data, legitimate interest, data minimization, and DPA considerations.
robots.txt: What You Need to Know
Understanding robots.txt directives, the legal nuances of compliance, and how reputable scrapers handle the protocol.
Web Scraping Legal Landscape 2026
Survey of recent court cases (hiQ v. LinkedIn, Meta v. Bright Data, etc.) and what they mean for commercial web scraping.