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Herald Blog Service

422 articles published

Articles by Herald Blog Service

API Integration

Web Search API for AI Agents: Developer's Guide

Learn how to build a robust web search API for AI agents using RAG, headless browsers, and anti-bot handling to ensure reliable real-time data extraction.

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Managing Rate Limits in Large Scale Web Scraping

Learn how to implement exponential backoff, proxy rotation, and request scheduling to avoid rate limits and 429 errors in high-volume data pipelines.

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How AI Agents Browse the Web: Architectures and Tools

Explore the technical architecture of AI agents in 2026. Learn how LLMs, headless browsers, and advanced APIs enable autonomous web navigation and data extraction.

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Building Efficient RAG Pipelines with Clean Markdown and JSON to Reduce LLM Token Waste

Learn how to structure scraped data as Markdown and JSON to minimize token usage in RAG pipelines, improve retrieval accuracy, and lower LLM costs.

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Structured Extraction vs. Raw Scraping for LLM Apps

Learn the differences between raw HTML scraping and structured AI extraction. Discover how to optimize data pipelines for LLM and RAG applications.

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Weekly Product Roundup: SDK Drift Fix, CI Unblocking, Session Security & WAF Improvements

This week's AlterLab engineering updates resolve SDK response drift, unblock CI migrations, enhance session binding security, and reduce WAF false positives for more reliable scraping pipelines.

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Understanding MCP Servers: Connecting AI to the Real-Time Web

Learn how Model Context Protocol (MCP) servers enable AI agents to access real-time web data via standardized, secure, and scalable API connections.

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Building a RAG Pipeline with Live Web Data

Learn how to architect a Retrieval-Augmented Generation (RAG) pipeline that uses live web data to provide real-time context to LLMs.

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Building Agentic Web Browsing Tools with Real-Time Data and MCP Servers

Learn how to combine LLM tool use, real-time web data, and MCP servers to create agentic browsing agents that fetch and act on live information without custom scrapers.

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Reduce LLM Token Waste in RAG with Structured Markdown and JSON Extraction

Learn how to cut LLM token usage in RAG pipelines by extracting clean Markdown or JSON from web pages instead of raw HTML, lowering costs and improving retrieval quality.

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Scaling Web Scraping Pipelines for Production Data

Learn how to build resilient, scalable web scraping pipelines that handle dynamic content and bot detection using professional API architectures.

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How to Scrape Niche.com Data: Complete Guide for 2026

Learn how to scrape niche.com reviews and neighborhood data using Python and Node.js. A technical guide to handling anti-bot protections and structured extraction.

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