Google People Also Ask Scraper

Collect Google People Also Ask questions for one or many search keywords. Use the results for SEO research, content planning, audience discovery, and question analysis.

What you get

• Questions grouped by their source keyword
• Support for Google search language codes
• Configurable question expansion depth
• Duplicate removal within each keyword
• Optional Apify Proxy or custom proxy support
• Export-ready results in JSON, CSV, Excel, XML, and other dataset formats

Input

Field	Type	Description	Default
keywords	string array	One or more search keywords.	Required
max_depth	integer	Number of People Also Ask questions to expand for each keyword. Use 0 to collect only the initially visible questions.	1
language	string	Google interface language code, such as en, id, es, or ja.	en
proxyConfiguration	object	Optional Apify Proxy or custom proxy configuration.	Disabled

Example:

{
  "keywords": [
    "content marketing",
    "keyword research"
  ],
  "max_depth": 3,
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

There is no fixed upper limit for max_depth. Larger values can increase run time, resource use, and the number of requests sent to Google.

Output

Each dataset item contains the originating keyword, selected language, and one unique question:

{
  "keyword": "content marketing",
  "language": "en",
  "question": "What are examples of content marketing?"
}

Proxy recommendations

Google may display a CAPTCHA or temporarily limit requests from some IP addresses. For reliable production runs or larger keyword lists, configure an Apify residential proxy or another high-quality proxy.

Proxy use is disabled by default, so you remain in control of proxy usage and cost.

Tips for better results

• Start with a small expansion depth and increase it when you need broader question coverage.
• Use the language code that matches your target audience.
• Split very large keyword collections into manageable runs.
• Some searches do not include a People Also Ask section and may return no questions.

Common use cases

• Build FAQ and article outlines
• Discover long-tail search questions
• Compare questions across multiple topics
• Research localized search intent
• Enrich SEO and content-planning workflows