Apify builder

Shinobu Otani

@shoebill-dev27 $$$$$ Revenue rank #2,779 ↓ -614

Leaderboard position

out of 10,354

New actors

-

Total actors

#2,008

↓ -629

Monthly users

#2,702

↓ -734

Total users

#4,001

↓ -792

Monthly runs

#2,368

↓ -504

Total runs

#2,573

↓ -222

Portfolio stats

New actors

0

+0

Total actors

8

+0

Monthly users

7

+0

Total users

15

+0

Monthly runs

227

↑ +19

Total runs

1,131

↑ +224

New actors

Actors published by day

Each bar shows one day in the last 30 days.

Oct 8 Nov 6

Portfolio concentration

Actors driving most users

6 of 8 actors cover 80%+ of monthly users.

Changelog Diff — verified Python breaking changes

Breaking changes between two versions of a Python package: execution-verified migration cases (LibPulse corpus) plus raw GitHub release notes.

1 users/m View on Apify

14%

users

Dependency Migration Check — verified upgrade risk

For every pinned dependency in a requirements.txt: how far behind it is and which execution-verified breaking changes sit in the upgrade path (LibPulse corpus).

1 users/m View on Apify

14%

users

Document Structure Extractor — Markdown to JSON outline

Turn Markdown documents into structured JSON: nested heading tree with section text, fenced code blocks, links, parsed tables, and size statistics. Pure parsing, no LLM cost.

1 users/m View on Apify

14%

users

HTML to Markdown — clean conversion, boilerplate stripping

Convert scraped HTML into clean Markdown and plain text: headings, nested lists, links, images, code blocks, blockquotes, and tables. Drops scripts, styles, and structural boilerplate (nav/footer/aside) so only content remains. Pure parsing, no LLM cost.

1 users/m View on Apify

14%

users

Japanese Text Normalizer — NFKC, kana, whitespace, sentences

Normalize Japanese text for data pipelines: Unicode NFKC (full/half-width unification), wave-dash unification, whitespace cleanup, hiragana/katakana conversion, Japanese-aware sentence splitting, and per-script character stats.

1 users/m View on Apify

14%

users

RAG Text Chunker — heading & sentence aware, Japanese ready

Split Markdown or plain text into retrieval-ready chunks for RAG pipelines: cuts at headings, packs whole sentences up to a size limit with optional overlap, and tags every chunk with its heading breadcrumb. Handles Japanese sentence boundaries. No LLM cost.

1 users/m View on Apify

14%

users

ActorHunt MCP

Feed your AI agent workflows with better Apify Store data.

ActorHunt gives paid members MCP access to keyword data, actor evidence, and Store movement for deciding what to build next.