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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.

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icon Web Scraping

Web Scraping with Python: Best Practices for 2026

Modern Python web scraping techniques. Async patterns, error handling, rate limiting, and production deployment strategies.

Updated May 2026
icon Web Scraping

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.

Updated May 2026
icon Web Scraping

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.

Updated Apr 2026
icon Web Scraping

Scraping Quick Commerce: Blinkit, Zepto & Instamart

How to extract pincode-level data from quick commerce platforms. Geo-targeting, hyperlocal pricing, dark store inventory.

Updated Apr 2026
icon Web Scraping

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.

Updated Mar 2026
icon AI / ML

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.

Updated May 2026
icon AI / ML

How AI Agents Use Live Product Data

Building shopping AI agents with real-time product context. MCP integration, tool calls, and live inventory awareness.

Updated May 2026
icon AI / ML

Web Scraping for AI Training: Legal & Technical

The intersection of web scraping and AI training data. Licensing considerations, content provenance, and ethical sourcing.

Updated Apr 2026
icon API Integration

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.

Updated Jun 2026
icon API Integration

Integrating Web Scraping API with Python

Production-grade integration patterns. Async requests, retry logic, webhook handling, and batch processing best practices.

Updated May 2026
icon API Integration

Building Real-Time Data Pipelines

Architecture patterns for streaming web data into your warehouse. Kafka, Kinesis, and direct webhook-to-warehouse flows.

Updated Apr 2026
icon Anti-Bot Bypass

Bypassing Cloudflare, Akamai & PerimeterX

Understand modern anti-bot systems and the (legitimate) techniques used to scrape protected sites at scale without violating ToS.

Updated May 2026
icon Anti-Bot Bypass

Building Resilient Scrapers: Retry, Backoff & Failure Handling

Production-grade resilience patterns for web scrapers. Exponential backoff, circuit breakers, dead-letter queues, and graceful degradation.

Updated May 2026
icon Anti-Bot Bypass

CAPTCHA Solving: Strategies That Actually Work

Modern CAPTCHA bypass approaches. hCaptcha, reCAPTCHA v3, Cloudflare Turnstile, and how to handle them at scale.

Updated Apr 2026
icon Data Engineering

Snowflake Integration Patterns for Web Data

Loading scraped data into Snowflake. Streaming with Snowpipe, batch with COPY, and incremental refresh strategies.

Updated May 2026
icon Data Engineering

BigQuery for Web Scraping Data

BigQuery patterns for product data. Partitioning, clustering, materialized views, and cost optimization.

Updated Apr 2026
icon Compliance

GDPR & Web Scraping: A Practical Guide

How to scrape responsibly under GDPR. Public data, legitimate interest, data minimization, and DPA considerations.

Updated Jun 2026
icon Compliance

robots.txt: What You Need to Know

Understanding robots.txt directives, the legal nuances of compliance, and how reputable scrapers handle the protocol.

Updated May 2026
icon Compliance

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.

Updated Apr 2026
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