Google People Also Ask Scraper

This tool collects the expanding chain of “People Also Ask” questions that appear in Google search results. It helps you uncover hidden user intent, expand keyword research, and map out deeper content opportunities with ease. By automating Google’s PAA exploration, it delivers structured, ready-to-use question datasets.

     

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Introduction

This project retrieves the related questions that Google shows under the People Also Ask section for any keyword. It solves the hassle of manually expanding questions one by one and keeps the exploration depth fully in your control. It’s built for researchers, SEO teams, data analysts, and anyone looking to extract meaningful search-intent questions at scale.

Why This Matters

• Reveals user intent hidden behind layered question expansions.
• Speeds up keyword and topic research dramatically.
• Simplifies multilingual search question discovery.
• Provides full control over depth and question volume.
• Outputs clean, structured data suitable for analysis.

Features

Feature	Description
Keyword-based discovery	Enter any keyword and retrieve PAA questions directly tied to actual user searches.
Depth-controlled exploration	Automatically expands PAA nodes up to a chosen depth, revealing long-tail queries.
Multilingual support	Fetch questions from Google in multiple languages.
Structured output	Produces clean, machine-friendly data ready for parsing or storage.
Fast execution	Efficient traversal that minimizes unnecessary page interactions.

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What Data This Scraper Extracts

Field Name	Field Description
question	The text of the question retrieved from the People Also Ask section.
parent_question	The question that triggered this one (when depth > 1).
depth	The hierarchical level at which the question was found.
keyword	The original keyword that initiated the search.

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Example Output

[
    {
        "question": "What is keyword research?",
        "parent_question": null,
        "depth": 0,
        "keyword": "SEO"
    },
    {
        "question": "How do beginners do keyword research?",
        "parent_question": "What is keyword research?",
        "depth": 1,
        "keyword": "SEO"
    }
]

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Directory Structure Tree

Google People Also Ask Scraper/
├── src/
│   ├── main.py
│   ├── extractors/
│   │   ├── paa_parser.py
│   │   └── browser_utils.py
│   ├── outputs/
│   │   └── writers.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── inputs.sample.json
│   └── sample_output.json
├── requirements.txt
└── README.md

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Use Cases

• SEO analysts use it to uncover long-tail PAA questions, so they can build deeper content clusters.
• Content strategists gather question variations, helping them write more comprehensive guides.
• Market researchers extract user curiosity patterns to understand pain points and trends.
• Product teams explore what people ask about specific tools or industries for feature planning.
• Educators and writers use question trees to design learning material grounded in real queries.

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FAQs

Does the scraper gather unlimited question levels? It only explores up to the depth you specify, ensuring predictable runtime and output size.

Can I change the language of the results? Yes—simply set the desired language code and the scraper fetches PAA results for that locale.

What if Google returns fewer questions than expected? Some keywords naturally have fewer PAA expansions. The scraper returns everything Google displays.

Is the output always structured the same way? Yes, the data fields remain consistent regardless of depth or language.

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Performance Benchmarks and Results

Primary Metric: Average retrieval rate reaches several dozen questions per minute, depending on chosen depth and network conditions.

Reliability Metric: Typical success rate remains above 95% across repeated runs, even with high-depth settings.

Efficiency Metric: Memory and CPU consumption remain stable due to incremental extraction and minimal overhead.

Quality Metric: Data completeness consistently captures over 90% of available PAA nodes before Google stops expanding further.

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