extracting-google-paa-questions-for-seo

Q: How do I install extracting-google-paa-questions-for-seo?

Run npx skills add https://github.com/apidojo-io/apidojo-skills --skill extracting-google-paa-questions-for-seo in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/extracting-google-paa-questions-for-seo/ (personal) or .claude/skills/extracting-google-paa-questions-for-seo/ (project).

by apidojo-ioMarketing & SEO

Extracts Google People Also Ask questions for SEO content planning using apidojo's Google Search scraper on Apify. Triggers when the user asks to: find People Also Ask questions on Google for SEO, extract PAA questions for keyword research, discover what questions Google shows for a topic, find long-tail SEO questions from Google, research FAQ content opportunities from Google SERP, build a list of questions to answer in blog content from Google, or extract Google autocomplete and PAA data for content planning. Returns PAA questions, SERP position, related keywords, and content structure recommendations. Ideal for SEO strategists, content writers, and blog editors building search-optimized content.

Installs: 814
Last 24h: +9
Trending rank: #9063
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/apidojo-io/apidojo-skills --skill extracting-google-paa-questions-for-seo

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads extracting-google-paa-questions-for-seo automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Extracting Google PAA Questions for SEO

Pulls People Also Ask (PAA) questions from Google SERPs for a target keyword. PAA questions are Google-validated signals of what real users want to know — use them as H2/H3 headings or FAQ sections in content.

Prerequisites

APIFY_TOKEN environment variable set
Optional: Apify MCP server installed

Inputs

Parameter	Type	Required	Default	Notes
`startUrls`	array	Optional	`[]`	Google search URLs
`searchTerms`	array	Optional	`[]`	Keywords to search on Google
`countryCode`	string	Optional	`US`	Country for Google search (e.g. `US`, `GB`, `TR`)
`languageCode`	string	Optional	—	Language for results (e.g. `en`)
`maxItems`	number	Optional	Unlimited	Maximum results to return across all queries
`maxPagesPerQuery`	integer	Optional	`1`	Maximum result pages per query
`mobileResults`	boolean	Optional	`false`	Fetch mobile SERP layout
`customMapFunction`	string	Optional	—	JavaScript function to transform each output object

Workflow

Progress:
- [ ] Step 1: Run google-search-scraper for keyword and variants
- [ ] Step 2: Extract PAA questions from results
- [ ] Step 3: Classify questions by search intent
- [ ] Step 4: Score content opportunity per question
- [ ] Step 5: Deliver SEO content brief

Step 1: Run google-search-scraper

Recommended — run_actor.js (handles waiting, output, and file saving automatically):

# Quick answer (prints table to chat)
node scripts/run_actor.js \
  --actor "apidojo~google-search-scraper" \
  --input '{"param": "value"}'

# Save as CSV
node scripts/run_actor.js \
  --actor "apidojo~google-search-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.csv --format csv

# Save as JSON
node scripts/run_actor.js \
  --actor "apidojo~google-search-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.json --format json

APIFY_TOKEN must be set in environment or .env file.

If Apify MCP is available:

Tool: apify:run-actor
Actor: "apidojo~google-search-scraper"
Input:
{
  "queries": ["[KEYWORD]", "best [KEYWORD]", "how to [KEYWORD]", "[KEYWORD] for beginners"],
  "maxPagesPerQuery": 3,
  "countryCode": "US",
  "languageCode": "en",
  "includePeopleAlsoAsk": true
}

REST API fallback:

curl -X POST   "https://api.apify.com/v2/acts/apidojo~google-search-scraper/runs?token=$APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{
    "queries": ["email marketing tools", "best email marketing tools", "how to email marketing"],
    "maxPagesPerQuery": 3,
    "countryCode": "US",
    "includePeopleAlsoAsk": true
  }'

Step 2: Classify PAA Questions by Intent

intent:
  INFORMATIONAL = "what is", "how does", "what does", "explain"
  COMPARATIVE = "vs", "or", "better", "difference between"
  TRANSACTIONAL = "how to buy", "where to get", "best price", "free"
  NAVIGATIONAL = "[brand] how to", "login", "sign up"
  TROUBLESHOOTING = "not working", "error", "fix", "issue"

Step 3: Score Content Opportunity

paa_score = (question_appears_across_multiple_keywords ? 1 : 0.5) * 0.35
          + (intent == INFORMATIONAL ? 1 : 0.7) * 0.30
          + (current_SERP_has_no_featured_snippet ? 1 : 0.4) * 0.35

Featured snippet opportunity: if PAA answer shown is > 200 words or from a weak domain → high opportunity to claim.

Step 4: Edge Cases

PAA questions not returned: Some queries return no PAA boxes; try more question-form queries ("how to [keyword]", "what is [keyword]")
Duplicate questions across keywords: Deduplicate by question text similarity (≥ 80% overlap = same question); count as one, note it appeared for [N] keywords
Questions are too broad: Flag as BROAD_QUESTION — better suited for a pillar page or FAQ section, not a standalone post
Questions are brand-specific competitors: Include with COMPETITIVE_INTELLIGENCE flag — these tell you what users are asking about your competitors

Output Format

# Google PAA Questions: "[KEYWORD]"
Queries run: [N] | Unique PAA questions: [N] | Featured snippet opportunities: [N] | Date: [DATE]

## PAA Question Bank (Sorted by Opportunity Score)
| # | Question | Intent | Appears For | Featured Snippet? | Score |
|---|---------|--------|------------|------------------|-------|
| 1 | "[question]" | INFORMATIONAL | [N] keywords | No | [0.XX] |

## High-Priority Questions (Use as H2/H3 in Content)
1. "[question]" — Answer in [X] words; [informational guide / comparison table / step-by-step]
2. "[question]"

## FAQ Section Builder
Questions suitable for FAQ schema markup:
1. Q: "[question]" — A: [1-sentence answer start]

## Content Angle Recommendations
- For "[primary keyword]" blog post: Use [N] of these PAA questions as headers
- For FAQ page: [N] questions qualify for FAQ schema
- For comparison page: [N] vs/comparison questions found

Troubleshooting

"includePeopleAlsoAsk" returns no results: Not all keywords trigger PAA boxes. Try adding "how", "why", "best", "what" as prefixes to force question-form SERPs. PAA questions are all branded (competitor names): High competitor brand presence on SERPs — separate branded vs. non-branded question sets in your content plan. Questions are too obscure: PAA expands dynamically based on prior searches — the questions returned reflect real user journeys; trust them even if obscure.

FAQ

What does the extracting-google-paa-questions-for-seo skill do?

How do I install extracting-google-paa-questions-for-seo?

Run npx skills add https://github.com/apidojo-io/apidojo-skills --skill extracting-google-paa-questions-for-seo in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/extracting-google-paa-questions-for-seo/ (personal) or .claude/skills/extracting-google-paa-questions-for-seo/ (project).

Which AI agents can use extracting-google-paa-questions-for-seo?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is extracting-google-paa-questions-for-seo safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains extracting-google-paa-questions-for-seo?

It is published by apidojo-io in apidojo-io/apidojo-skills. It has 814 recorded installs.

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extracting-google-paa-questions-for-seo

Install

Install

Describe the task

Review the result

SKILL.md

Extracting Google PAA Questions for SEO

Prerequisites

Inputs

Workflow

Step 1: Run google-search-scraper

Step 2: Classify PAA Questions by Intent

Step 3: Score Content Opportunity

Step 4: Edge Cases

Output Format

Troubleshooting

FAQ

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