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.
What it does
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
Use the upstream install or setup path that matches your environment:
- pip install google-search-results
- make test
Requirements and caveats from upstream:
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Google Search Results in Python
- This package will soon be deprecated in favor of serpapi-python.
Basic usage or getting-started notes:
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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...
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bash
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from serpapi import GoogleSearch
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Source: https://github.com/serpapi/google-search-results-python
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Extracted from upstream docs: https://raw.githubusercontent.com/serpapi/google-search-results-python/HEAD/README.md
Source
Capabilities
Install
Quality
deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 8 github stars · SKILL.md body (1,411 chars)