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AIMLPM/markcrawl

v0.10.0 Breaking

This release includes 1 breaking change for platform teams planning a safe upgrade.

Published 1mo RAG & Retrieval
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-agents anthropic-claude data-extraction gemini ingestion-pipeline llm
+9 more
markdown-extraction openai pgvector python sitemap-crawler structured-data supabase vector-db webcrawler

Summary

AI summary

Chunker defaults flipped to higher min_words and link stripping, boosting MRR by ~11.5%.

Full changelog

Highlights

| Metric | v0.9.9-rc1 (baseline) | v0.10.0 |
|-------------------------|------------------------:|-----------------------------------------:|
| Mean MRR (local pool) | 0.3461 | 0.3859 (+11.5%) |
| Cost at 50M pages | $10,152 | $0 with markcrawl[ml] / $5,246 default |
| Chunks per page | 20.3 | 10.49 (-48% smaller index) |
| Tests | 350 | 493 passing |

What's in this release

  • Chunker defaults flipped (Track D). chunk_markdown now defaults to min_words=250, section_overlap_words=40, strip_markdown_links=True. Multi-trial validated: +14% MRR on st-mini (6 trials, all positive), +15% on OpenAI 3-small (3 trials, all positive). Backward-compatible — pass legacy values explicitly to opt out.
  • Embedder abstraction (Track B). New markcrawl/embedder.py ships with Embedder ABC + OpenAIEmbedder + LocalSentenceTransformerEmbedder (with model-specific instruction prefixes for asymmetric retrieval). Bake-off winner is mixedbread-ai/mxbai-embed-large-v1 — passes SC-B1 ($0 cost) + SC-B2 (Δ −0.018 MRR within ±0.020 band).
  • Rerank infrastructure (Track A). New markcrawl/retrieval.py with CrossEncoderReranker. Failed the +0.030 MRR bar on this distribution (regressed −0.013); ships opt-in only.
  • Ecom diagnosis (Track C). Documented that newegg/ikea failures are crawl-discovery, not extraction. Per-site auto_path_scope / auto_path_priority / use_sitemap overrides plumbed in the local-replica harness; SC-C1 closure deferred to v0.11 (sitemap-first + UA rotation).
  • Retry resilience. Tenacity-backed retry, binary-parity CI smoke tests, structured exhaustion logs.

Per-category MRR (11-site canonical pool)

| Category | v0.9.9 | v0.10.0 | Δ |
|-----------------|-------:|--------:|---------:|
| framework_docs | 0.3641 | 0.3771 | +0.0130 |
| api_docs | 0.4840 | 0.5414 | +0.0574 |
| reference | 0.3750 | 0.3750 | 0.0000 |
| tutorial | 0.4605 | 0.7000 | +0.2395 |
| ecommerce | 0.0625 | 0.0625 | 0.0000 |
| blog | 0.5000 | 0.5000 | 0.0000 |
| news | 0.1667 | 0.1667 | 0.0000 |

No category regresses. The largest per-site regression
(huggingface-transformers −0.083) is offset within the
framework_docs category by react-dev's gain.

Known v0.11 work

  1. Default flip for mxbai embedder. Extras-aware factory: pick mxbai when markcrawl[ml] is installed, fall back to OpenAI 3-small. Captures the −$10K/yr cost reduction in production callers.
  2. Sitemap-first ecom discovery. Closes SC-C1 (ikea reaches its canonical products; newegg avoids anti-bot via different URL queue).
  3. Newegg anti-bot mitigation. UA rotation pool + retry-with-jitter for ecom-class sites.

Reports

  • bench/local_replica/v010_release_report.md — authoritative release report with side-by-side comparison.
  • bench/local_replica/track_d_report.md — chunker sweep methodology (56 configs).
  • bench/local_replica/track_a_report.md — rerank failure analysis.
  • bench/local_replica/track_b_report.md — embedder bake-off (4 of 5 candidates run; nomic aborted).
  • bench/local_replica/track_c_report.md — ecom discovery vs extraction diagnosis.
  • specs/v010-leaderboard-sweep.md — campaign spec with per-track status markers.

Breaking Changes

  • Chunker default parameters changed: min_words=250, section_overlap_words=40, strip_markdown_links=True (legacy values must be passed explicitly to retain old behavior).

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About AIMLPM/markcrawl

Crawl websites into clean Markdown, search pages, and extract structured data with LLMs. Built-in MCP server for web research and RAG pipelines.

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Related context

Beta — feedback welcome: [email protected]