Apify Multi-Actor Publishers Cluster on One Hit
Of 573 tracked Apify creators, 320 publish 2+ actors. Median HHI is 3,827 — concentrated. 38% are highly concentrated (HHI > 5,000). 'One hit + long tail' dominates; only 17% run genuinely diversified portfolios, averaging 21 actors each.
Of 573 Apify creators with continuous data history, 320 publish two or more tracked actors. The Herfindahl-Hirschman Index on demand-share within those portfolios has a median of 3,827 — concentrated by US antitrust standards. The median multi-actor publisher earns half their measured demand from a single actor.
Most multi-actor portfolios are not portfolios. They are one big hit and a long tail of secondaries. The publishers who run actually-diversified portfolios — defined here as HHI under 1,500 — are 17% of the multi-publisher cohort, and they reach that diversification by maintaining 21 actors on average, against a median portfolio size of 7.
The HHI distribution
HHI on a publisher portfolio is computed by summing the squared percentage demand share of each actor in the portfolio. A pure monopoly (one actor takes 100%) is HHI = 10,000. Equal-weight diversification across 10 actors is HHI = 1,000.
| HHI band | Publishers | Share | Description |
|---|---|---|---|
| >5,000 highly concentrated | 119 | 37.4% | Top actor dominates; secondaries are footnotes |
| 2,500–5,000 concentrated | 91 | 28.6% | Strong top, meaningful #2 |
| 1,500–2,500 moderate | 55 | 17.3% | Genuinely shared demand across 3–5 actors |
| under 1,500 diversified | 53 | 16.7% | Broad portfolio, no single dependency |
The cumulative reading: 66% of multi-actor publishers are concentrated or highly concentrated. The “publisher who built a real portfolio” is a minority position on the Apify Store.
The top-actor-share view says the same thing more directly:
| Top actor’s share of publisher demand | Publishers | Share |
|---|---|---|
| ≥90% (one-and-done with footnotes) | 44 | 13.8% |
| 70–90% (clearly dominant top) | 58 | 18.2% |
| 50–70% (top as plurality leader) | 67 | 21.1% |
| under 50% (portfolio shared across actors) | 149 | 46.9% |
53% of multi-publishers have a top actor that captures more than half of their tracked demand. The “publisher” is functionally a single-actor operator with overflow publications.
What diversified actually looks like
The 53 publishers in the diversified bucket (HHI < 1,500) are not small operators with two equal-weight actors. They are scale operators. Mean portfolio size in this band is 21 actors. Minimum is 7. Maximum is 86.
Concentrated publishers (HHI ≥ 5,000) have a mean portfolio of 3.9 actors. Their concentration is partly mechanical — with fewer actors, demand cannot help but cluster on one or two. The genuine-portfolio publishers got there by maintaining a much larger catalog, where any one actor’s failure does not collapse the portfolio.
The shape implies a power-law dynamic in publisher economics. To run a diversified Apify portfolio, you need scale you do not need if you accept concentration. The marginal cost of maintaining one extra actor is the same whether your portfolio has 3 or 23, but the diversification benefit only kicks in past ~7 actors, where the median lives.
The portfolio strategies that emerge
Three behaviors fit the data.
The one-hit operator (66% of multi-publishers, HHI > 2,500). Built one well-targeted actor that captured a category niche. Published two or three companion actors to fill out a “suite” appearance, but the secondary actors do not move the demand. This is the modal Apify publisher with more than one actor to their name.
The portfolio operator (17%, HHI < 1,500). Runs 7–86 actors, often across multiple categories. Demand is spread thinly per actor but stable in aggregate. Often a vertical-specialist publisher (e.g., one creator covers many adjacent scrapers in a single category) or a generalist with an LLM-template approach to launching new actors fast.
The transitional middle (17%, HHI 1,500–2,500). Has a strong primary actor and one or two genuinely viable secondaries. Either on the path from one-hit to portfolio, or stalled there because the secondary actors plateaued.
The transitional middle is the most informative bucket. These publishers have proven they can ship more than one demand-finding actor. The question is whether they shift to portfolio mode (more actors, lower per-actor density) or consolidate engineering effort back on the primary actor.
What it means for new entrants
For a creator weighing whether to launch one focused actor or three competing ones, the Apify Store data points at a clear answer.
Launch one. The 80% of new publishers who launch a second or third actor “for portfolio breadth” end up in the one-hit-plus-footnotes bucket. The footnotes do not produce demand at scale; they consume maintenance capacity that the primary actor needs.
The actual path to a diversified portfolio is to first launch a primary actor strong enough that the maintenance is automatic — then layer additional actors on top once the primary’s demand floor is established. The tag-discipline analysis on this site already showed that single-category actors win 2.3× the per-actor demand of multi-category actors. The same discipline applies at the portfolio level: focus produces the demand that funds the optionality to diversify later.
The longer-term implication for Apify the marketplace is that the demand concentration within publisher portfolios mirrors the demand concentration across publishers. The Store is concentrated at every level of aggregation — across creators, within multi-actor portfolios, within categories. Diversification is the unusual position, not the natural state. The publishers who reach it do so by scaling past where most operators stop.
Sources
- Apify Store — creator publishing model
- Signal Census pulse data — 573 creators with continuous data history; 320 multi-actor portfolios as of 2026-05-16
- Signal Census: Apify the Publisher — 29% of Its Own Store — across-publisher concentration
- Signal Census: Apify’s Long Tail — 57% under 10 users — actor-level demand distribution
- Signal Census: 3-Tag Default Backfires — single-actor focus at the tag level