Apify Store Radar — find new Actors that are gaining traction

Scans the public Apify Store and surfaces the Actors that are young and growing, not the ones that have been sitting at the top of the charts for two years.

Useful if you build Actors and want to see which niches are opening up, or if you buy Actors and want the rising tools before they get crowded.

SoftCTA mesh (0.2.7)

Every riser row (and optional risers-summary) includes a softCta object with next-step links into IntelScrape tools for maker outreach, phone validation, reviews/licenses, and people enrichment. Skip Trace PRO is SoftCTA-only (links — code frozen). No self-link to this Actor. No extra SoftCTA PPE events.

How "new & rising" is decided

The Store feed does not expose a creation date, so newness is inferred from the user-count windows the Store publishes for every Actor:

Metric	Formula	Meaning
newnessPct	totalUsers90Days / totalUsers	100% = every user this Actor has ever had arrived in the last 90 days, i.e. it is young
users30d	totalUsers30Days	recent active volume — the traction signal
accel	(users7d × 30/7) / users30d	above 1.0 = this week is outpacing the 30-day average
score	users30d × newness	recent volume, weighted toward fresh Actors

Results are filtered by minUsers30d and minNewness, sorted by score, and cut to topN.

newnessPct is a proxy, not a creation date. An older Actor that recently went viral will score as "new" because most of its users are recent. That is usually what you want from a radar, but it is not the same as "published in the last 90 days".

Input

Field	Default	Notes
scanLimit	2000	How many Actors to pull from the Store before filtering. Higher = deeper, slower.
minUsers30d	30	Minimum recent users to count as traction.
minNewness	0.65	Minimum fraction of users acquired in the last 90 days (0–1).
topN	30	How many risers to return.
category	—	Optional single Store category, e.g. LEAD_GENERATION, SOCIAL_MEDIA, AI, SEO_TOOLS.
sortBy	popularity	Ordering used while scanning: popularity, totalUsers, relevance, lastUpdate.
demoMode	false	Synthetic risers + SoftCTA for Store demos.
includeRisersSummary	true	Push one risers-summary row with SoftCTA.

Output

One dataset item per riser (plus optional summary):

{
  "rank": 1,
  "title": "Some New Scraper",
  "handle": "username/some-new-scraper",
  "url": "https://apify.com/username/some-new-scraper",
  "totalUsers": 412,
  "users30d": 388,
  "users7d": 121,
  "newnessPct": 94.2,
  "accel": 1.34,
  "score": 365.5,
  "rating": 4.8,
  "reviews": 6,
  "category": "LEAD_GENERATION",
  "source": "apify-store",
  "softCta": {
    "next": "Nice — rising Actor ...",
    "skipTracePro": "https://apify.com/intelscrape/skip-trace-pro"
  }
}

A SUMMARY record is also written to the key-value store with how many Actors were scanned, how many passed the filters, and the filter values used.

Notes

• Reads only the public Apify Store API. No token, no login, no private data.
• If your filters are strict you can legitimately get zero results — the run reports that in its status message rather than failing.
• SEEK untouched. SoftCTA deepen only.