Keyword Research & Autocomplete Scraper

Turn a few seed terms into hundreds of real keyword ideas — pulled straight from the autocomplete of Google, YouTube, Amazon, and Bing. These are the actual phrases people type, so they're gold for SEO, content planning, PPC, and Amazon product research.

You pay per seed that returns ideas. A seed that comes back empty costs $0. No subscription, no seat fees — run 5 seeds or 5,000, you're billed only for the ones that deliver.

This is the data behind tools like AnswerThePublic and Keyword Tool.io, as a raw, scriptable endpoint you can schedule or wire into your own stack.

Input

{
    "keywords": ["coffee maker", "running shoes"],
    "sources": ["google", "youtube", "amazon"],
    "expand": "deep",
    "gl": "US",
    "hl": "en"
}

• keywords — your seed terms.
• sources — any of google, youtube, amazon, bing. Results merge and dedupe across all chosen sources.
• expand — how hard to mine each seed:
  • none — the seed's direct suggestions
  • alphabet — seed + a…z (e.g. "coffee maker a", "coffee maker b") — dozens more ideas
  • questions — how / why / what / where / can / does + seed — great for content & FAQs
  • deep — alphabet + questions + prepositions (for, with, vs, near…) — the most ideas per seed
• gl / hl — country and language (Google).

Output per seed

{
    "seed": "coffee maker",
    "sources": ["google", "amazon"],
    "expand": "deep",
    "count": 214,
    "suggestions": ["coffee maker with grinder", "coffee maker for one", "coffee maker vs french press", "..."]
}

Seeds that return nothing come back as { seed, error, errorType } and are not charged.

What people use it for

• SEO & content: find long-tail phrases and question keywords competitors miss
• PPC: build out keyword and negative-keyword lists fast
• Amazon sellers: mine buyer search terms straight from Amazon's own autocomplete
• YouTube creators: title and topic ideas from YouTube's search suggestions

Pairs naturally with the Google Trends Scraper: discover ideas here, then validate demand there.

Use it from code

curl -s -X POST "https://api.apify.com/v2/acts/beacondata~keyword-research-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["coffee maker"], "sources": ["google"], "expand": "deep"}'

Works everywhere Apify does: REST API, scheduled runs, webhooks, the Apify MCP server (AI agents can call it as a tool), n8n, Make, Zapier.

Honest limitations

• These are autocomplete suggestions (what people search), not monthly search-volume numbers. For demand strength, pair with the Trends actor.
• Google/Bing suggestions are localized by gl/hl; Amazon is the US marketplace.
• Very obscure seeds may legitimately return nothing (that's free).

Automate it with n8n

A ready-made workflow feeds your seed keywords through all four autocomplete engines and appends one row per idea to Google Sheets. In n8n: Workflow → Import from URL:

https://inmanjeffrey89-cell.github.io/data-tools/workflows/t3-keyword-research-sheets.json

No community nodes (plain HTTP Request) — works on n8n Cloud and self-hosted. More ready-made workflows.

Support

Found a bug or want another source added? Open an issue on the Issues tab — it's read daily and answered.