MCPInstall

apify-financial-news

Discover and extract financial news for tracked portfolio companies across 33 verified Tier 1 sources (Bloomberg, Reuters, FT, WSJ, IntelliNews, ČTK, PAP, BTA, TASR, ING Think, ECB, EC Press Corner, ...) plus broad Google News fallback. Use when the user asks to find news about a company, get press coverage, monitor financial press, run a news scan, or check headlines for a portfolio company. Reads tracked companies from data/companies.json. Do NOT use for marketing/social-listening (use apify/awesome-skills) or for morning-briefing formatting (out of scope).

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/apify/awesome-skills --skill apify-financial-news
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads apify-financial-news automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Financial News Intelligence

Discover and extract financial news for portfolio companies via Apify Actors. Two modes:

  • Single company — news scan for one company.
  • Portfolio scan — same pipeline run across multiple companies.

33 Tier 1 sources organized in 4 categories (Global / Pan-European / Institutional / CEE Local). Tier 2 = broad Google News fallback for unverified domains.

Estimated cost: $0.10–0.50 per single company, $1–5 per full portfolio scan.

Prerequisites

  • Apify access — preferred: apify CLI (npm install -g apify-cli && apify login); fallback: Apify MCP connector (call-actor tool). CLI is faster and preferred when both are available.
  • Python 3 + pip install readability-lxml lxml (for the extract_and_clean.py post-processor)
  • Companies data at ${CLAUDE_PLUGIN_ROOT}/data/companies.json

${CLAUDE_PLUGIN_ROOT} is the plugin's root directory (where .claude-plugin/ lives). It is resolved automatically by Claude Code when the plugin is installed, or set to the --plugin-dir path during development.

Workflow checklist

Copy this and tick boxes as you progress:

Task Progress:
- [ ] Step 0: Verify prerequisites — try `apify --version && apify info`; if unavailable, check for `call-actor` MCP tool; if neither, tell user to install apify CLI or Apify MCP connector. Also verify: `python3 -c "from readability import Document; print('OK')"` (install: `pip install readability-lxml lxml`)
- [ ] Step 1: Build queries (look up company in data/companies.json or construct manually)
- [ ] Step 2: Discovery — pick 8-12 sources by region, run 2-phase Google News
- [ ] Step 3: Dedup + route (Tier 1 = whitelisted domain → verified extractor; Tier 2 = broad → rag-web-browser)
- [ ] Step 4: Extract & clean (run extractor, then extract_and_clean.py)
- [ ] Step 5: Output Tier 1 + Tier 2 tables to user

Constraints

Allowed Apify Actors (exhaustive — do NOT use others)

ActorPurpose
data_xplorer/google-news-scraper-fastGoogle News discovery
louvre/rss-news-aggregatorRSS discovery
rodrigo_pacelli/headline-news-scraperHeadline discovery
jamie_tran/bloomberg-article-scraperBloomberg extraction
romy/bloomberg-news-scraperBloomberg fallback
workhard3000/news-intelligence-rag-extractorPaywall extraction
apify/rag-web-browserFree/soft-paywall + Tier 2
stanvanrooy6/universal-ai-web-scraperHard paywall (Barron's, MarketWatch) — $0.25/page

Do NOT use any other actor. Do NOT use WebSearch, WebFetch, or browser tools.

Extractor routing (mandatory — do NOT substitute)

ExtractorDomains
jamie_tran/bloomberg-article-scraperbloomberg.com
workhard3000/news-intelligence-rag-extractorft.com, wsj.com, economist.com, morningstar.com, asia.nikkei.com, caixinglobal.com, zawya.com, euobserver.com, reuters.com
apify/rag-web-browsercnbc.com, forbes.com, investors.com, lesechos.fr, afr.com, scmp.com, euronews.com, intellinews.com, handelsblatt.com, politico.eu, eubusiness.com, eureporter.co, ecb.europa.eu, + all 7 CEE Local
stanvanrooy6/universal-ai-web-scraperbarrons.com, marketwatch.com
REST API (presscorner)ec.europa.eu

Full per-source config: reference/SOURCE_CONFIGS.md. Machine-readable: data/sources.json.

Pipeline

Step 1: Build queries

Look up company in ${CLAUDE_PLUGIN_ROOT}/data/companies.json. Key fields under queries: gnews_en, gnews_cz, bloomberg.

For non-portfolio companies, construct manually: quoted full legal name + ticker OR variant + geographic qualifier.

Query rules:

  • Use "InPost SA" not InPost (quoted full names avoid false positives — see reference/EUROPEAN_COMPANIES_GUIDE.md)
  • Per-source site: operator: site:bloomberg.com "InPost SA" OR "INPST"
  • FT tip: use site:ft.com/content/ (bare ft.com returns stock-data pages)
  • Valid timeframes: "1h", "1d", "7d", "1y", "all" (NOT "30d")
  • Tickers < 4 chars: always pair with full company name
  • ALWAYS set decodeUrls: true on Google News input

Step 2: Discovery

Do NOT search all 33 sources. Pick 8–12 based on company region.

Regional priorities

RegionPriority Sources
CZČTK, IntelliNews, Reuters, Bloomberg, POLITICO EU, FT, Handelsblatt
PLPAP, IntelliNews, Reuters, Bloomberg, POLITICO EU, FT
HUTelex.hu, HVG.hu, VG.hu, IntelliNews, Reuters, Bloomberg
BGBTA, IntelliNews, Reuters, Bloomberg, Euronews
SKTASR, IntelliNews, Reuters, Bloomberg, Handelsblatt
Western EuropeBloomberg, Reuters, FT, Handelsblatt, Les Echos, POLITICO EU
US / GlobalBloomberg, Reuters, WSJ, FT, CNBC, Forbes, Barron's
Asia / MENABloomberg, Reuters, SCMP, Nikkei, Caixin, Zawya
EU RegulatoryPOLITICO EU, EUobserver, EUbusiness, EU Reporter, EC Press Corner, ECB

Two-phase Google News strategy

Phase 1 — Targeted (per priority source, with site:):

apify call data_xplorer/google-news-scraper-fast \
  --input '{"keywords":["site:bloomberg.com \"InPost SA\" OR \"INPST\""],"maxArticles":10,"timeframe":"7d","region_language":"US:en","decodeUrls":true,"proxyConfiguration":{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"]}}' \
  --user-agent apify-awesome-skills/apify-financial-news \
  --output-dataset > discovery_bloomberg.json

Phase 2 — Broad (always run, no site: operator). Classify results by domain in Step 3 — whitelisted → Tier 1, others → Tier 2.

CEE local-language discovery: For CEE companies, run additional queries with region_language set to CZ:cs, PL:pl, HU:hu, BG:bg, SK:sk. See region_language field per source in data/sources.json.

EC Press Corner — direct REST API (no Actor)

curl -s "https://ec.europa.eu/commission/presscorner/api/documents?reference=IP/26/614&language=en"

Parse IP_XX_NNN reference IDs from Google News titles to construct API calls.

RSS / Headline discovery (optional)

For sources with RSS, you can supplement GNews with louvre/rss-news-aggregator (max 10 feeds per run; split into batches). For 6 sources, rodrigo_pacelli/headline-news-scraper works (CNBC, SCMP, Nikkei, Caixin, Zawya tag-pages-only, Handelsblatt). RSS/headline output is unfiltered — filter client-side by company name in title/description. Full feed list: reference/PIPELINE_DETAIL.md.

Step 3: Dedup & route

  1. Collect URLs from all discovery runs.
  2. Classify by domain: whitelist (33 Tier 1 sources) → Tier 1; other → Tier 2.
  3. Filter non-article URLs: /quote/, /stock/, /sitemap, /author/, /tag/, /key-metrics/, /newsletters/, /topic/, /profile/, redirectUrl=.
  4. Filter by company name/ticker in title.
  5. Deduplicate (URL normalize).
  6. Route Tier 1 URLs to verified extractor per routing table.
  7. Route Tier 2 URLs to apify/rag-web-browser.

Low-coverage fallback (< 3 articles): broaden timeframe to "1y", run Phase 2 if skipped, try local-language queries.

Step 4: Extract & clean

Run the extractor per the routing table. For rag-web-browser calls, use outputFormats: ["html"].

After extraction, run extract_and_clean.py on the dataset to strip nav/menus/footers via readability-lxml. The script auto-detects format: HTML cleaned via readability-lxml, already-clean output (Bloomberg scraper, workhard3000) passes through.

DATASET_ID=$(apify call apify/rag-web-browser \
  --input '{"query":"<ARTICLE_URL>","maxResults":1,"outputFormats":["html"],"requestTimeoutSecs":40,"proxyConfiguration":{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"]},"removeCookieWarnings":true}' \
  --user-agent apify-awesome-skills/apify-financial-news \
  --json | jq -r '.defaultDatasetId')

python3 ${CLAUDE_PLUGIN_ROOT}/skills/apify-financial-news/reference/scripts/extract_and_clean.py "$DATASET_ID"

The --json flag returns run metadata including defaultDatasetId. Errors produce non-zero exit code so the pipeline fails fast.

Step 5: Output

Two tables to the user — Tier 1 (verified) and Tier 2 (broad). Per article: source, title, author, date, char count, URL.

## News Intelligence: InPost (INPST.AS) — Last 7 days

### Tier 1 — Verified Sources (2)
| Source | Title | Author | Date | Chars | URL |
|--------|-------|--------|------|-------|-----|
| bloomberg.com | InPost Readies AI Shopping Assistant | K. Krasuski | 2026-03-19 | 7,577 | … |

### Tier 2 — Broad Discovery (5)
| Source | Title | Date | Chars | URL |
|--------|-------|------|-------|-----|
| seekingalpha.com | InPost expands parcel locker network | 2026-03-18 | 1,200 | … |

*Sources: 6 verified queried | 5 broad | Cost: $0.15*

Macro context

For country-level economic context, use these alongside news scans:

  • ING Think (think.ing.com) — daily CEE FX/rates via apify/rag-web-browser (~11K chars). Best free open-access CEE macro source.
  • IMF (imf.org) — Article IV concluding statements via apify/rag-web-browser (~22K chars).
  • ECB (ecb.europa.eu) — already in Tier 1.
  • Central banks (ČNB, NBP, MNB, BNB, NBS) — direct URL extraction; see reference/MACRO_SOURCES.md.

Critical gotchas

  • ALWAYS decodeUrls: true in Google News (encoded redirects break ALL extractors).
  • "InPost" is ambiguous — matches "post-Maduro". Use "InPost SA" for precision.
  • RSS max 10 feeds per run — split into batches.
  • Zawya headline-scraper returns tag pages, NOT articles — exclude from headline runs.
  • Reuters needs RESIDENTIAL proxy — without it, returns 386 chars.
  • Reuters: rag-web-browser returns 0 chars on ~60% of URLs — use workhard3000 only.
  • Morningstar .co.uk URLs fail with workhard3000 — use .com URLs for extraction.
  • WSJ livecoverage pages fail — skip URLs matching wsj.com/livecoverage/.
  • FT: rag-web-browser returns 16 chars ('Client Challenge') — use workhard3000.
  • Forbes: workhard3000 returns 0 chars — use rag-web-browser.
  • Barron's / MarketWatch cost $0.25/page — use selectively for high-value articles.
  • Caixin URLs must be complete — truncated URLs fail extraction.
  • EC Press Corner is an Angular SPA — rag-web-browser returns 0 chars. Use REST API.

Full failure-mode catalog: reference/PIPELINE_DETAIL.md, reference/SOURCE_CONFIGS.md.

Reference

  • data/sources.json — machine-readable: 33 sources × discovery × extractor × cost × gotchas
  • reference/SOURCE_CONFIGS.md — per-source curl examples, run IDs, output samples
  • reference/PIPELINE_DETAIL.md — RSS feeds, headline sources, warnings, failed paths, source quick-reference table
  • reference/MACRO_SOURCES.md — ING Think, IMF, central banks
  • reference/EUROPEAN_COMPANIES_GUIDE.md — European company handling tips
  • reference/MORNING_NOTE_DETAIL.md — HTML output spec (archived; out of scope for this skill)
  • reference/scripts/extract_and_clean.py, reference/scripts/clean_article.py — readability-lxml post-processors

FAQ

What does the apify-financial-news skill do?

Discover and extract financial news for tracked portfolio companies across 33 verified Tier 1 sources (Bloomberg, Reuters, FT, WSJ, IntelliNews, ČTK, PAP, BTA, TASR, ING Think, ECB, EC Press Corner, ...) plus broad Google News fallback. Use when the user asks to find news about a company, get press coverage, monitor financial press, run a news scan, or check headlines for a portfolio company. Reads tracked companies from data/companies.json. Do NOT use for marketing/social-listening (use apify/awesome-skills) or for morning-briefing formatting (out of scope).

How do I install apify-financial-news?

Run npx skills add https://github.com/apify/awesome-skills --skill apify-financial-news in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/apify-financial-news/ (personal) or .claude/skills/apify-financial-news/ (project).

Which AI agents can use apify-financial-news?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is apify-financial-news safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains apify-financial-news?

It is published by apify in apify/awesome-skills, and it is an official skill from the maker of the technology it covers. It has 138 recorded installs.

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