apify-financial-news

Automated financial news extraction is handled by running single-company scans or portfolio-wide sweeps via Apify actors across 33 Tier 1 sources to output structured articles. It deduplicates results and routes Tier 1 sources to verified extractors while routing Tier 2 to rag-web-browser.

You can monitor financial news across 33 Tier 1 sources alongside a broad Google News fallback to capture a wide range of press coverage. This multi-source monitoring enables timely tracking of press coverage and sentiment for tracked firms.

Yes, financial news extraction requires Apify CLI or MCP alongside Python 3 with the readability-lxml library installed. You must also configure a data/companies.json file and set up per-source extractors with a configurable workflow as described.

Yes, the financial news discovery workflow is designed to handle paywalls, language variations, and regional sources using source-specific extractors and post-processing. This flexibility and pragmatism ensures broad coverage without breaking on edge cases.

Extracted financial news articles are output as structured Tier 1 (verified) and Tier 2 (broad) results containing the source, title, author, date, and URL. This tiered output format is specifically designed for AI agent workloads.

Tier 1 financial news results are verified articles extracted directly from 33 specific sources using dedicated per-source extractors. Tier 2 results are broad articles captured via the Google News fallback and routed to the rag-web-browser for extraction.