Apify builder
Michael Olmos Leaderboard position
out of 10,354
New actors
-
Total actors
#465
↓ -117
Monthly users
#903
↓ -190
Total users
#1,746
↓ -227
Monthly runs
#1,074
↓ -152
Total runs
#1,653
↑ +38
Portfolio stats
New actors
0
↓ -5
Total actors
43
+0
Monthly users
49
↓ -1
Total users
90
↓ -2
Monthly runs
1,246
↑ +107
Total runs
3,359
↑ +1,231
New actors
Each bar shows one day in the last 30 days.
Portfolio concentration
33 of 43 actors cover 80%+ of monthly users.
Turn noisy website snapshots into meaningful pricing, product, availability, legal, contact, and structural change alerts with importance, confidence, and before/after evidence—no AI key required.
4%
users
Find why users may leave: turn App Store, Google Play, and support reviews into version-aware churn reasons, evidence, priority scores, and fixes.
4%
users
Monitor SaaS pricing pages and receive normalized plans, prices, billing units, packaging signals, screenshot evidence, and typed changes—not noisy page diffs.
4%
users
Test Apify datasets against versioned contracts. Catch missing and extra fields, type and nullability drift, duplicate keys, and breaking schema changes with CI-ready evidence.
4%
users
Turn Amazon, Google Maps, Trustpilot, G2, app-store, support, or survey reviews into ranked defect, feature, and objection tickets with traceable evidence.
4%
users
Find duplicate, stale, incomplete, repetitive, and poorly chunked documents before they weaken RAG retrieval.
4%
users
Track public terms and privacy policies by clause. Find material additions, removals, obligation, entity, effective-date, retention, arbitration, data-sharing, and other risk changes with before/after evidence.
4%
users
Audit public ads.txt or app-ads.txt files for syntax, seller relationships, duplicate tuples, variables, and exact line evidence.
2%
users
Audit Cache-Control, validators, freshness, Vary, Age, and conditional revalidation with exact HTTP evidence and bounded public-web fetching.
2%
users
Parse enforced and report-only Content-Security-Policy from response headers and HTML metadata into normalized directive and risk evidence.
2%
users
Audit observable Set-Cookie headers for Secure, HttpOnly, SameSite, prefixes, Partitioned cookies, scope, expiry, and normalized evidence.
2%
users
Test simple and OPTIONS preflight CORS behavior with normalized policy evidence, risky-pattern findings, and truthful per-endpoint failures.
2%
users
Audit static HTML tables for captions, headers, scope, identifiers, presentation roles, and normalized table evidence.
2%
users
Audit static form controls for labels, names, types, autocomplete, required state, fieldsets, button names, and explicit accessibility evidence.
2%
users
Extract H1-H6 structure, text, anchors, order gaps, duplicate headings, and accessible outline evidence for public pages.
2%
users
Audit hreflang syntax, duplicates, canonical alignment, self-reference, x-default, and bounded reciprocal links with evidence.
2%
users
Audit iframe titles, names, sources, lazy loading, sandboxing, referrer policy, duplicates, and normalized static evidence.
2%
users
Audit HTML image alternative-text evidence, decorative semantics, source normalization, dimensions, and loading hints without claiming a full accessibility certification.
2%
users
Extract, validate, and flatten JSON-LD schema nodes with block evidence, type inventory, malformed-block reporting, and page metadata context.
2%
users
Audit links for observable accessible names, generic text, unsafe schemes, destination consistency, and normalized evidence.
2%
users
Extract normalized page metadata with exact tag evidence, safe fetching, deterministic limits, and truthful per-URL failures.
2%
users
Find insecure HTTP subresources and form actions on HTTPS pages with normalized URLs, active/passive classification, tag evidence, and remediation-ready output.
2%
users
Validate email syntax and mail domains with MX evidence, disposable-domain and role-address flags, transparent risk labels, and no SMTP messages.
2%
users
Validate public OpenAPI and Swagger documents into endpoint inventory, documentation, operation ID, response, and security evidence without calling API operations.
2%
users
Catch missing fields, invalid prices, duplicate IDs, inconsistent variants, and Google Merchant feed risks before import.
2%
users
Audit preload, preconnect, prefetch, prerender, DNS-prefetch, and modulepreload declarations into normalized evidence and actionable findings.
2%
users
Parse robots.txt rules into normalized policy evidence, sitemap references, tested paths, and truthful failures.
2%
users
Normalize RSS 2.0, Atom, RDF, and podcast feeds into one evidence-rich dataset with deterministic limits and explicit failures.
2%
users
Grade HTTP defensive headers with exact response evidence, weak-value findings, redirect context, and safe fetching.
2%
users
Discover and audit RFC 9116 security.txt files with contact, expiry, canonical, policy, encryption, and line-level evidence.
2%
users
Extract semantic HTML and ARIA landmarks, accessible labels, duplicate roles, and page-structure findings from public pages.
2%
users
Traverse public sitemap indexes into a deduplicated URL inventory with source sitemap, lastmod, changefreq, priority, media counts, and partial-failure evidence.
2%
users
Audit skip-link candidates, fragment targets, document order, accessible names, and normalized bypass-navigation evidence.
2%
users
ActorHunt MCP
ActorHunt gives paid members MCP access to keyword data, actor evidence, and Store movement for deciding what to build next.
