npm Package Search Scraper

Get live npm search suggestions for any seed keyword — the exact phrases npm shows people as they type. The fastest way to see real demand in npm's own words.

Why npm suggestions?

Suggestions are ranked by actual user behaviour, not by a third-party estimate. They tell you:

• 🔍 What people actually type — not what a keyword tool guesses
• 🏷️ Long-tail phrases you would never brainstorm on your own
• 📈 Demand ranking — position 1 is the strongest signal
• ⚡ Fresh data — pulled live at run time, not from a stale index

Typical users: developers, tech scouts and package-ecosystem analysts.

How it works

For every seed keyword the Actor queries npm's public suggestion endpoint. With a–z expansion enabled (default) it also queries seed a … seed z, uncovering far more long-tail results than a single lookup. Results are deduplicated and pushed to the dataset.

Input

Field	Type	Default	Description
keywords	array	—	Seed keywords, one per line
expandAlphabet	boolean	true	Also query "seed a" … "seed z"
expandNumbers	boolean	false	Also query "seed 0" … "seed 9"
keepDuplicates	boolean	false	Keep a suggestion found under several prefixes
requestDelayMs	integer	120	Politeness delay between requests

Output

One dataset item per suggestion:

{
    "seed": "scraper",
    "query": "scraper r",
    "suggestion": "scraper reel wall mount",
    "position": 2,
    "collectedAt": "2026-08-05T09:00:00.000Z"
}

position is the rank in npm's own list — 1 means the strongest demand signal for that query.

What to expect

One seed with a–z expansion ≈ 27 queries. A batch of 10 seeds usually returns a few hundred to a few thousand unique suggestions in under two minutes.

FAQ

Is this legal? The Actor collects publicly available, non-personal suggestion data — the same suggestions any visitor sees on npm. No login, no personal data, no access controls bypassed.

Do suggestions include search volume? npm does not expose volume. Use position as the demand-rank signal, or combine with your favourite volume tool.

Can I run it on a schedule? Yes — use Apify Schedules to track how suggestions change over time.

Can I export to CSV / Google Sheets? Yes, from the run's Output tab or via the API.