Imported from agentskillexchange/skills (skills/serpapi-answer-box-extractor/SKILL.md). Install upstream with npx skills add agentskillexchange/skills --skill serpapi-answer-box-extractor. Copyright stays with the author.

SerpAPI Answer Box Extractor

Name: SerpAPI Answer Box Extractor
Author: agentskillexchange

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

Use the upstream install or setup path that matches your environment:

pip install google-search-results
make test

Requirements and caveats from upstream:

Google Search Results in Python
This package will soon be deprecated in favor of serpapi-python.
Build

Basic usage or getting-started notes:

Please note: the current documentation, examples, and integrations on https://serpapi.com/ are written for this (legacy) package and are not yet compatible with the new library. Updated documentation for serpapi-pytho...
bash
from serpapi import GoogleSearch
Source: https://github.com/serpapi/google-search-results-python
Extracted from upstream docs: https://raw.githubusercontent.com/serpapi/google-search-results-python/HEAD/README.md

Source

Agent Skill Exchange

{ "ocm": "1", "id": "agentskillexchange-skills-serpapi-answer-box-extractor", "kind": "skill", "name": "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.", "publisher": "agentskillexchange", "version": "1.0.0", "capabilities": { "domains": [ "general" ], "tags": [ "skill-md", "github" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "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." ], "primary": false, "metadata": { "source": { "provider": "github", "repository": "https://github.com/agentskillexchange/skills", "path": "skills/serpapi-answer-box-extractor/SKILL.md", "ref": "9dcee1ffd90838791fbc9609625641cfcf64e025", "url": "https://github.com/agentskillexchange/skills/blob/9dcee1ffd90838791fbc9609625641cfcf64e025/skills/serpapi-answer-box-extractor/SKILL.md", "key": "agentskillexchange/skills/skills/serpapi-answer-box-extractor/SKILL.md" } }, "instructions": "# SerpAPI Answer Box Extractor\n\nExtracts 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.\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- pip install google-search-results\n- make test\n\nRequirements and caveats from upstream:\n- # Google Search Results in Python\n- This package will soon be **deprecated** in favor of [serpapi-python](https://github.com/serpapi/serpapi-pyt", "cost": { "context_tokens": 352 } }

SerpAPI Answer Box Extractor

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SerpAPI Answer Box Extractor

Installation

Google Search Results in Python

Source

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