Apify builder
Adam Developer building data-structuring tools for the AI era.
Leaderboard position
out of 10,354
New actors
-
Total actors
#2,008
↓ -629
Monthly users
#3,257
↓ -949
Total users
#4,277
↓ -887
Monthly runs
#3,085
↓ -806
Total runs
#3,202
↓ -268
Portfolio stats
New actors
0
+0
Total actors
8
+0
Monthly users
5
+0
Total users
13
+0
Monthly runs
136
↑ +6
Total runs
695
↑ +136
New actors
Each bar shows one day in the last 30 days.
Portfolio concentration
4 of 8 actors cover 80%+ of monthly users.
Extract every HTML table from any URL into clean, deterministic GitHub-Flavored Markdown (GFM). Auto-detects headers (or synthesizes col1..N), escapes pipes, collapses whitespace, and stamps each table with an sha256 hash for dedup & idempotency. RAG / embeddings / LLM ready. Same HTML, same output.
20%
users
Convert any OpenAPI/Swagger spec into per-endpoint LLM tool definitions (function calling schemas) plus clean Markdown docs. Generates JSON-schema tools ready for OpenAI, Claude/Anthropic, and any agent framework. Paste a spec URL or inline JSON; deterministic, content-hashed output per endpoint.
20%
users
Convert PDFs into token-bounded Markdown chunks for RAG, embeddings, and vector databases (Pinecone, Chroma, Weaviate, Qdrant). Set maxTokens + overlap; get clean chunks with page number, token count, and SHA-256 content hash for dedup. JSON dataset ready for any LLM pipeline.
20%
users
Parse SEC EDGAR filings (10-K, 10-Q, 8-K) into section-segmented Markdown. Splits by Item headings (Item 1A Risk Factors, Item 7 MD&A) into per-section records with sha256 content hashes. RAG/LLM-ready sections, dedupe-friendly, keyless official SEC API. Pay-per-filing.
20%
users
ActorHunt MCP
ActorHunt gives paid members MCP access to keyword data, actor evidence, and Store movement for deciding what to build next.
