v2.31.0 — Scrapling Web Scraping + Research Optimizer + LinkedIn API Fix

What's New

Scrapling Web Scraping Integration (7 new tools)

• scrapling_fetch — Adaptive URL fetching with 3 tiers (http/stealth/dynamic)
• scrapling_extract — CSS/XPath structured data extraction (zero LLM tokens)
• scrapling_batch_fetch — Parallel multi-URL fetching (up to 20 URLs)
• scrapling_track_element — Track elements across page changes (survives DOM restructuring)
• scrapling_crawl / scrapling_crawl_status / scrapling_crawl_stop — Multi-page spider with session management

Research Optimizer (new domain)

• merge_research_sources — Join datasets from multiple agent sources
• score_research_quality — Score and rank merged research by configurable criteria

LinkedIn API Fix

• Critical: Fixed silent truncation of LinkedIn posts from first ( parenthesis character
• cleanLinkedInText() now replaces parentheses with brackets before API calls
• Added comprehensive character sanitization (pipe, box-drawing, zero-width chars)

Infrastructure

• Python bridge server for Scrapling (scrapling_bridge on port 8008)
• Docker Compose service + Dockerfile for containerized deployment
• Added web_scraping domain to research, data, multi_agent, web_dev presets
• 2 new workflow chains: competitive_intel, price_monitor

Install / Upgrade

npm install -g nodebench-mcp@2.31.0
# or
npx nodebench-mcp@2.31.0

Stats

• 260 tools across 49 domains
• 10 presets: default (54), web_dev (106+), research (71+), data (78+), devops (68), mobile (95), academic (86), multi_agent (102+), content (77), full (260)