Market Catalyst Signal Extractor

This actor is for watchlist builders, analysts, sales teams, and founders who need a fast read on public market-moving signals.

It mines public finance and news-result surfaces for catalyst headlines, catalyst types, sentiment hints, and evidence links.

What it is useful for

• Use it for ticker monitoring, sector research, sales timing, investor-relations prep, or market-alert workflows.
• Building cleaner research exports from messy public web surfaces.
• Prioritizing prospects, pages, communities, or knowledge sources before manual review.
• Feeding structured records into spreadsheets, CRMs, dashboards, or automation workflows.

Input

Provide one or more values in marketTopics.

{
  "marketTopics": [
    "NVDA earnings AI chips",
    "oil price OPEC supply"
  ],
  "maxItems": 8,
  "requestTimeoutSecs": 25,
  "maxConcurrency": 3
}

Output you get

The dataset is intentionally compact and buyer-facing. Important fields include:

• marketTopic
• catalystSignalLevel
• catalystThemes
• catalystEvents.catalystHeadline
• catalystEvents.catalystType
• catalystEvents.sentimentHint
• catalystEvents.evidenceUrl

Practical workflow

1. Start with a small list of searches or URLs.
2. Review the first dataset rows and confirm the signals match your market.
3. Increase the input list for larger research batches.
4. Export the dataset to CSV, JSON, Google Sheets, or your automation pipeline.

Notes and limitations

• The actor uses public web data and does not bypass login walls, private content, CAPTCHA, or protected dashboards.
• Public search snippets and pages can change, so results should be treated as research signals rather than legal, financial, or valuation advice.
• The output avoids raw HTML and noisy debug fields so buyers can act on the data immediately.