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
13%
users
Apify builder
Shinobu Otani
@shoebill-dev27
Leaderboard position
out of 4,039
New actors
#166
Total actors
#595
↑ +173
Monthly users
#1,097
Total users
#2,074
↑ +687
Monthly runs
#2,141
Total runs
#3,488
Portfolio stats
New actors
8
Total actors
8
↑ +3
Monthly users
8
↑ +8
Total users
16
↑ +11
Monthly runs
40
↑ +40
Total runs
40
↑ +40
New actors
Actors published by day
Each bar shows one day in the last 30 days.
May 21 Jun 19
Portfolio concentration
Actors driving most users
7 of 8 actors cover 80%+ of monthly 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
13%
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
13%
users
Entity Extractor — emails, URLs, phones, dates (regex, no LLM)
Extract structured entities from free text: email addresses, URLs, phone numbers (incl. Japanese formats and full-width digits), dates (ISO, slash, Japanese 年月日) and IP addresses. Deterministic regex extraction with per-kind counts — fast, cheap, no LLM.
1 users/m View on Apify
13%
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
13%
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
13%
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
13%
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.