Amazon Keyword Suggestions Scraper 🔎

Turn any seed keyword into hundreds of ranked Amazon autocomplete suggestions — the exact phrases real shoppers see when they start typing in the Amazon search bar. Built for listing SEO, PPC research, niche discovery, and ecommerce content planning.

Most "autocomplete dumps" hand you an unsorted list. This actor adds the things that make it a real keyword tool:

• 📊 Volume proxy — a relative popularity score for every phrase (how many query variants surfaced it).
• 🏬 Department-scoped suggestions — what shoppers type inside Books differs from Electronics; scope to any of 25+ departments.
• 🌍 12 marketplaces — US, UK, DE, FR, IT, ES, CA, MX, AU, JP, IN, and BR, each served by its own completion service (no proxy tricks needed).
• 🌳 Recursive keyword trees — feed suggestions back in as seeds to mine the long tail several levels deep.

Pure HTTP. No login, no API key, no browser, no CAPTCHA solver.

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Why use this scraper?

• Find what shoppers actually type — autocomplete is Amazon telling you, in its own words, what its customers search for.
• Rank by popularity, not just A–Z — the volume proxy floats in-demand phrases to the top instead of dumping an unsorted list.
• Scale one seed into hundreds — A–Z / 0–9 / buyer-modifier / custom-suffix expansion and recursive depth multiply each seed into a deep long-tail set.
• Compare marketplaces side by side — the same seed swept across the US, Germany, and Japan reveals how search wording changes per market.
• See what Amazon pairs with each phrase — source rank, ranking strategy, and the product thumbnail Amazon shows next to the suggestion.
• Cheap and fast — a light public endpoint, fetched in parallel. Billed per suggestion.

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Overview

The actor outputs one row per suggestion (not one row per seed). Each row carries the phrase plus its ranking signals — volume proxy, Amazon's own slot position, marketplace, department, thumbnail, and the recursion depth it was found at. Run it with a single seed for a quick autocomplete pull, or with expansion toggles + recursion across multiple marketplaces for an exhaustive keyword map.

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Supported inputs

You provide	The actor does
One or more seed keywords	Fetches Amazon autocomplete suggestions for each
Marketplaces (US, UK, DE, FR, IT, ES, CA, MX, AU, JP, IN, BR)	Sweeps each marketplace's own completion service
A department (Books, Electronics, Fashion, …)	Scopes suggestions to that department instead of All
A–Z / 0–9 / buyer-modifier toggles + custom suffixes	Appends each variant → long-tail completions (up to ~50× more ideas)
Recursive depth (0–3)	Feeds discovered suggestions back as new seeds → keyword tree

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Use cases

Audience	What they get
Amazon sellers & FBA	The exact phrases for listing titles, bullets, and backend search terms
PPC / Amazon Ads teams	Demand language for Sponsored Products campaigns and negative-keyword mining
Product researchers	Niche and long-tail discovery before committing to a product
Multi-market brands	Side-by-side search wording across US / EU / JP / LATAM marketplaces
Tool & dashboard builders	A cheap, fast suggestion feed to power your own product

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How it works

1. Each seed is expanded into a set of query variants (the seed itself, plus optional A–Z / 0–9 / buyer-modifier / custom suffixes), multiplied across the marketplaces you ask for.
2. All variants are fetched in parallel against Amazon's public completion service (completion.amazon.*/api/2017/suggestions).
3. Every returned phrase is aggregated: identical suggestions are merged, and a volume proxy counts how many distinct variants surfaced each — a relative popularity signal.
4. If recursive depth > 0, the discovered suggestions become the next round of seeds (bounded by a request budget).
5. Results are ranked per seed and marketplace (volume proxy, then Amazon's own slot) and written one row per suggestion.

Note on marketplaces: Amazon's completion service selects the marketplace via a query parameter, not by your IP — so per-country results are genuine without any proxy setup. That's different from most platforms.

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Input configuration

Field	Type	Default	Description
keywords	string[]	— (required)	Seed terms to get suggestions for
marketplaces	string[]	["US"]	Any of US, UK, DE, FR, IT, ES, CA, MX, AU, JP, IN, BR
department	string	"aps"	Department (search alias) to scope to; aps = All departments
expandAlphabet	boolean	false	Append a–z to each seed for long-tail expansion
expandNumbers	boolean	false	Append 0–9 to each seed
expandBuyerModifiers	boolean	false	Append best / cheap / for kids / gift / … buyer-intent modifiers
customSuffixes	string[]	[]	Your own suffixes, e.g. "under 50", "stainless steel"
expansionDepth	integer	0	Recursively re-seed from discovered suggestions (0–3)
maxSuggestionsPerKeyword	integer	0	Cap per seed per marketplace after ranking (0 = no cap)
maxItems	integer	1000	Hard cap on total rows (charging-aware)
deduplicateSuggestions	boolean	false	Collapse the same phrase across seeds/marketplaces into one row
includeMetadata	boolean	true	Include refTag, strategy id, thumbnail URL, ghost flag
maxConcurrency	integer	10	Simultaneous requests
proxy	object	off	Optional; not required for correct per-marketplace results

Example input

{
  "keywords": ["laptop stand", "coffee grinder"],
  "marketplaces": ["US", "DE"],
  "department": "aps",
  "expandBuyerModifiers": true,
  "expansionDepth": 0,
  "maxItems": 1000
}

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Output overview

Every row is a single suggestion with its ranking signals. Rows are ordered by rank within each (seedKeyword, marketplace) pair (1 = most popular by volume proxy). Export as JSON, CSV, Excel, or pull via the Apify API.

Output sample

{
  "suggestion": "laptop stand portable foldable travel",
  "seedKeyword": "laptop stand",
  "query": "laptop stand portable",
  "marketplace": "US",
  "domain": "amazon.com",
  "department": "aps",
  "rank": 1,
  "volumeProxy": 2,
  "amazonRank": 2,
  "depth": 0,
  "surfacedByQueries": ["laptop stand portable", "laptop stand for travel"],
  "refTag": "nb_sb_ss_p13n-expert-pd-ops-ranker_ci_hl-bn-left_2_21",
  "strategyId": "p13n-expert-pd-ops-ranker",
  "thumbnailUrl": "https://m.media-amazon.com/images/I/41cMBeetqaL.__AC_SL75__.jpg",
  "isGhost": false,
  "scrapedAt": "2026-07-22T20:05:06.094Z"
}

Key output fields

Field	Meaning
suggestion	The autocomplete phrase Amazon serves
seedKeyword	The seed it derives from
query	The exact query variant that surfaced it
marketplace / domain	Where it was found (US → amazon.com, DE → amazon.de, …)
department	Department scope it was fetched under
rank	Rank within its seed + marketplace (1 = top), by volume proxy
volumeProxy	How many query variants surfaced this phrase — relative popularity
amazonRank	The slot Amazon itself served it at (lower = more prominent)
depth	Recursion depth it was found at (0 = direct seed)
thumbnailUrl	Product image Amazon pairs with the phrase, when present
scrapedAt	ISO timestamp

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FAQ

Does this need an Amazon login, API key, or token? No. It uses Amazon's public search-completion endpoint over plain HTTP.

Is volumeProxy an exact search volume? No — it's a relative popularity signal (how many query variants surfaced the phrase). It's excellent for ranking ideas against each other, not a substitute for paid search-volume data.

Do I need a proxy for other marketplaces? No. The marketplace is selected by a query parameter, so a run from anywhere returns genuine amazon.de, amazon.co.jp, etc. results.

How many suggestions per query? Amazon returns up to ~10 per query. With A–Z expansion that becomes hundreds of long-tail ideas per seed; buyer modifiers, custom suffixes, and recursion deepen it further.

Does it scrape products, reviews, or search volume? No — this actor is focused on autocomplete keyword suggestions. Pair it with a product or reviews scraper if you need listing data.

Will huge expansions run forever? No. A built-in request budget caps total fetches and logs when it truncates, so an A–Z + deep-recursion run stays bounded.

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Support

Questions, custom fields, or a tailored scraper? Email muhamed.didovic@gmail.com or open an issue on the actor's Issues tab. Issues are monitored and usually answered within a day.

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Additional services

Need this wired into a pipeline — scheduled runs, a webhook into your CRM/warehouse, a custom-shaped dataset, or a different platform's autocomplete? I build and maintain bespoke scrapers. Reach out at muhamed.didovic@gmail.com.

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Explore more scrapers

Browse the rest of the portfolio (Etsy, Amazon Sellers, TikTok Suggestions, Glassdoor, Trustpilot, and more) on the author's Apify page: https://apify.com/memo23

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🤖 For AI Agents & LLM Apps

This actor is a clean keyword-research tool for agentic workflows: call it via the Apify API or MCP with a seed list and it returns structured, ranked keyword rows (suggestion, volumeProxy, amazonRank, marketplace) ready for downstream reasoning — listing optimization, ad-group generation, or market comparison. Deterministic input schema, per-item pricing, no session state.

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⚠️ Disclaimer

This Actor collects publicly available Amazon search-autocomplete data for legitimate research, SEO, and market-analysis purposes. It does not log in, bypass authentication, or access private or personal data. Use of this Actor must comply with Amazon's Terms of Service and all applicable laws including data-protection regulations (GDPR, CCPA, etc.). The Actor's authors are not responsible for any misuse. Users must:

• Respect rate limits and avoid overloading Amazon's infrastructure
• Not use scraped data to violate user privacy or terms
• Use the data in compliance with applicable jurisdictions
• Not republish scraped content in violation of copyright

We do not store any scraped data; the Actor returns it directly to your Apify dataset for your authorized use. Amazon is a trademark of its respective owner; this Actor is not affiliated with, endorsed by, or sponsored by Amazon.com, Inc.

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