---
title: "SerpAPI Answer Box Extractor"
description: "Extracts high-signal SERP features from SerpAPI responses, including `answer_box`, `knowledge_graph`, `related_questions`, and `organic_results`. Useful for research agents that need structured search intelligence rather than raw HTML scraping."
verification: "security_reviewed"
source: "https://github.com/serpapi/google-search-results-python"
category:
  - "Research & Scraping"
framework:
  - "Gemini"
tool_ecosystem:
  github_repo: "serpapi/google-search-results-python"
  github_stars: 734
---

# SerpAPI Answer Box Extractor

Extracts high-signal SERP features from SerpAPI responses, including `answer_box`, `knowledge_graph`, `related_questions`, and `organic_results`. Useful for research agents that need structured search intelligence rather than raw HTML scraping.

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/serpapi-answer-box-extractor/)