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{ "item_title" : "Automating OSINT with Python", "item_author" : [" Aevren Kaldor "], "item_description" : "Most OSINT books hand you a toolkit. This one teaches you to build one - from raw HTTP scraping to autonomous AI agents that conduct multi-step intelligence missions without you directing every step. Every chapter ends with a working, deployable tool. Twelve hands-on chapters take you from setting up a secure Python environment through writing resilient scrapers, chaining intelligence APIs, extending SpiderFoot with custom modules, integrating LLMs for analysis, and building a complete autonomous agent that accepts a target and delivers a structured report. The OSINT Agent Stack framework - Scrape, Enrich, Reason, Report - organises every tool you build into a coherent intelligence system. - Build a resilient Python web scraper that survives anti-bot defenses including TLS fingerprinting, CAPTCHA detection, and proxy rotation- Integrate Shodan, Have I Been Pwned, and VirusTotal APIs into a unified threat intelligence pipeline with response caching and budget control- Automate subdomain enumeration, WHOIS lookups, and DNS reconnaissance with reusable Python modules and the SpiderFoot framework- Construct a social media profiling tool that enumerates usernames across 50-plus platforms and correlates findings via Gravatar and breach data- Design a metadata extraction engine that surfaces hidden intelligence from images, PDFs, documents, and Git commit histories- Deploy a dark web monitoring system using Tor automation to scan paste sites and track public threat actor channels- Build an AI agent using Claude and GPT function calling that autonomously plans and executes multi-step OSINT missions- Create an interactive intelligence graph using NetworkX and Pyvis that visualises entity relationships across all collected sources- Apply rate limiting, jitter, and ethical guardrails to produce legal, compliant, production-grade automation- Package a full OSINT agent pipeline for deployment on a VPS, Docker Compose stack, or AWS Lambda with scheduled monitoring Every tool in this book is built on the same base classes, the same schema, and the same pipeline - so each chapter compounds on the last rather than starting over. By the final chapter, the autonomous agent you build uses every tool from Chapters 1 through 10 as its toolset. Written for Python developers, cybersecurity professionals, and OSINT analysts who learn by building. If you can write a Python script, you can build a production intelligence system. Scroll up and grab your copy.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/818/383/9798183837674_b.jpg", "price_data" : { "retail_price" : "29.99", "online_price" : "29.99", "our_price" : "29.99", "club_price" : "29.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Automating OSINT with Python|Aevren Kaldor

Automating OSINT with Python : Hands-On Guide to AI-Powered Scrapers, Recon Tools, and Intelligence Agents

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Overview

Most OSINT books hand you a toolkit. This one teaches you to build one - from raw HTTP scraping to autonomous AI agents that conduct multi-step intelligence missions without you directing every step. Every chapter ends with a working, deployable tool. Twelve hands-on chapters take you from setting up a secure Python environment through writing resilient scrapers, chaining intelligence APIs, extending SpiderFoot with custom modules, integrating LLMs for analysis, and building a complete autonomous agent that accepts a target and delivers a structured report. The OSINT Agent Stack framework - Scrape, Enrich, Reason, Report - organises every tool you build into a coherent intelligence system. - Build a resilient Python web scraper that survives anti-bot defenses including TLS fingerprinting, CAPTCHA detection, and proxy rotation
- Integrate Shodan, Have I Been Pwned, and VirusTotal APIs into a unified threat intelligence pipeline with response caching and budget control
- Automate subdomain enumeration, WHOIS lookups, and DNS reconnaissance with reusable Python modules and the SpiderFoot framework
- Construct a social media profiling tool that enumerates usernames across 50-plus platforms and correlates findings via Gravatar and breach data
- Design a metadata extraction engine that surfaces hidden intelligence from images, PDFs, documents, and Git commit histories
- Deploy a dark web monitoring system using Tor automation to scan paste sites and track public threat actor channels
- Build an AI agent using Claude and GPT function calling that autonomously plans and executes multi-step OSINT missions
- Create an interactive intelligence graph using NetworkX and Pyvis that visualises entity relationships across all collected sources
- Apply rate limiting, jitter, and ethical guardrails to produce legal, compliant, production-grade automation
- Package a full OSINT agent pipeline for deployment on a VPS, Docker Compose stack, or AWS Lambda with scheduled monitoring Every tool in this book is built on the same base classes, the same schema, and the same pipeline - so each chapter compounds on the last rather than starting over. By the final chapter, the autonomous agent you build uses every tool from Chapters 1 through 10 as its toolset. Written for Python developers, cybersecurity professionals, and OSINT analysts who learn by building. If you can write a Python script, you can build a production intelligence system. Scroll up and grab your copy.

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Details

  • ISBN-13: 9798183837674
  • ISBN-10: 9798183837674
  • Publisher: Independently Published
  • Publish Date: June 2026
  • Dimensions: 11 x 8.5 x 0.74 inches
  • Shipping Weight: 1.83 pounds
  • Page Count: 358

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