google-serp-parse

Extract and normalize Google search results into structured JSON.

Updated Aug 23, 2026

Search Tags:#structured data #information retrieval #web scraping #google search #search engine results

Ready to run

npx skills add https://github.com/kael-odin/digital-human-protocol --skill google-serp-parse

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: google-serp-parse
Source: https://github.com/kael-odin/digital-human-protocol/tree/main/packages/digital-humans/google-email-hunter/skills/google-serp-parse
Command: npx skills add https://github.com/kael-odin/digital-human-protocol --skill google-serp-parse

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill transforms Google search results into a structured format, making it easier to process and analyze the information.

Core Features & Use Cases

Extracts Organic Results: Converts the raw search results into a normalized format with URLs, titles, snippets, and hostnames.
Use Case: Ideal for AI agents needing to process search results, such as content indexing or information retrieval systems.

Quick Start

Use the google-serp-parse skill to retrieve and parse the top 10 search results for a given query.

Frequently Asked Questions about google-serp-parse

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I parse Google search results into structured data?▼

You can parse Google search results into structured data by using a script to extract and normalize organic results into a structured JSON format. This process converts raw search pages into normalized data containing URLs, titles, snippets, and hostnames for AI agents to consume.

How do I extract URLs and snippets from a Google search results page?▼

To extract URLs and snippets from a Google search results page, you can use a parsing script to normalize the raw HTML. This process isolates organic search results and outputs them as structured JSON, making the extracted URLs, titles, snippets, and hostnames easily accessible for information retrieval.

Can I use JavaScript to scrape and structure Google search results?▼

Yes, you can use JavaScript to scrape and structure Google search results. The parsing process requires JavaScript and web scraping capabilities to extract the organic results and normalize them into a structured JSON format for downstream processing.

What is the best way to feed Google search results to an AI agent?▼

The best way to feed Google search results to an AI agent is to parse the search page into structured JSON. This normalizes the organic results into URLs, titles, snippets, and hostnames, providing a structured format that AI agents can easily consume and process for information retrieval.

Does parsing Google search results into JSON require web scraping capabilities?▼

Yes, parsing Google search results into JSON requires web scraping capabilities. The extraction process needs to retrieve the raw search engine results page and normalize the organic entries into structured data, relying on JavaScript and scraping tools to access and format the information.

How many search results can I extract and normalize from a Google search page?▼

You can extract and normalize the top 10 organic search results from a Google search page. The parsing script processes these results and converts them into a structured JSON format containing the URLs, titles, snippets, and hostnames of the top entries.