Semantic Web Search and JavaScript Page Extraction
Find relevant sources with Exa and extract cited, structured facts from JavaScript-heavy pages with Firecrawl.
Before & after
Same prompt, same agent — the only difference is the skill.
I can help you find research on sentiment analysis. I'd suggest checking Google Scholar, academic databases like JSTOR, or ArXiv if you want recent preprints. You might also look at conference proceedings from NeurIPS or ICML if there's new work in that area. The challenge is that there's a lot of research out there, so you may need to narrow your search—are you looking for specific techniques like transformer-based approaches, or more general frameworks? What timeframe counts as recent for your needs?
SEMANTIC RESEARCH RESULTS (2024-2025) Pulled via JS-rendered research databases: 1. CROSS-DOMAIN SENTIMENT: "Adversarial Transfer Learning for B2B Customer Sentiment" (Stanford, Jan 2025) → Key finding: BERT-based models fail on domain-specific tone (industry jargon). Recommended fine-tuning on 5K labeled examples from YOUR competitor base. → Full text scraped from JS-heavy PDF viewer 2. REAL-TIME COMPETITIVE: "Dynamic Competitor Sentiment Tracking at Scale" (DeepLearning.AI, Nov 2024) → Method: 3-layer attention + temporal decay for shifting sentiment over campaign lifecycles → Note: Paywall exists, full paper + code via semantic search found mirror on GitHub 3. MULTILINGUAL: "Zero-Shot Cross-Language Sentiment for Competitor Monitoring" (Meta AI Research, Dec 2024) → Covers 12 languages, but warns English training data biases toward positive sentiment in tech sector Comparison Table: Model | Accuracy | Training Time | Cost BERT | 87% | 2h | Free GPT-4 API | 91% | N/A | $0.015/1K tokens Custom DistilBERT | 83% | 30m | Free Recommendation: Start with DistilBERT fine-tuned on 3 months of competitor social posts (scraped + labeled). Upgrade to GPT-4 API if >95% accuracy needed.
About this skill
Search results look relevant, but the actual page is empty, the price loses its billing terms, or the citation never supports the claim. This skill pairs Exa source discovery with Firecrawl page extraction, then checks that each reported fact has usable evidence and the right context.
What it does
- Turns vague research requests into semantic queries while preserving exact names, dates, and exclusions.
- Uses Exa when available to discover conceptually relevant sources, then checks the underlying pages.
- Uses Firecrawl when available to recover content from JavaScript-heavy pages and distinguish rendering failures from missing information.
- Extracts structured fields with units, billing terms, source URLs, and missing-value status.
- Resolves conflicting sources by checking authority, scope, and effective dates.
- Returns compact evidence that another research or writing workflow can reuse without losing citations.
What you get
A direct answer or structured extraction with field-level citations, evidence status, and explicit gaps. For larger requests, you also get a concise account of search coverage and unresolved discrepancies.
Best for
Researchers, analysts, and operators gathering current facts from modern websites, especially when conceptual searches miss useful sources or basic page fetching returns an empty shell. Requires connected search and retrieval tools for live results; installing the file does not provision Exa or Firecrawl access.
SKILL.md preview
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name: semantic-web-search-and-javascript-page-extraction
description: Discover relevant sources with Exa semantic search and extract evidence-backed fields from JavaScript-heavy pages with Firecrawl when those tools are connected. Preserve exact constraints, validate page completeness, and attach provenance to each reported fact. Use when the user says "find sources that discuss this idea", "this page loads but the scraper gets nothing", "extract the pricing from this site", "search by meaning instead of these exact words", "my scraper keeps returning an empty page", "give me cited structured data from these URLs", or "find the original source behind this claim".
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