FinancialJuice News Scraper

Pull real-time market-moving headlines from FinancialJuice at scale — asset-class feeds, full-newswire keyword search, source attribution, and clean UTC timestamps on every story. FinancialJuice broadcasts short, timestamped market-moving news the moment it breaks; this actor turns that live wire into a structured, deduplicated dataset. Built for algo traders, quant researchers, and financial-media monitors who need breaking market headlines in a database without watching a feed all day.

Why This Scraper?

• Eight asset-class feeds in one run — Market Moving, Forex, Crypto, Commodities, Bonds, Equities, Indexes, and Macro headlines, or leave categories empty to pull the aggregate market-moving wire.
• Keyword search across the entire newswire — match any term or phrase ("Federal Reserve", "Bitcoin", "oil") against every headline the wire carries, not just today's front page. Category feeds and keyword search are two independent ways to narrow what you collect.
• ISO-8601 UTC timestamps on every headline — plus the original raw publish string, so you can sort, window, and align headlines to price bars without parsing localized date text.
• Named source outlet per headline — each row records the wire that broke the story (FXStreet, Reuters, and others) alongside a permalink to the headline on FinancialJuice.
• Deduplicated on headline ID across every feed and keyword — the same story surfacing in Crypto, Macro, and a keyword search collapses to a single row, so overlapping feeds never inflate your dataset.
• Newest-first, capped exactly — one headline limit governs the whole run; the feed returns the most recent market-moving news first and never overshoots your cap.
• Keyword-match provenance on every row — run several search terms at once and each headline records which keyword surfaced it, so multi-term monitoring stays traceable to its trigger.
• Ten typed fields per headline, no cleanup required — id, title, permalink, category, tags, source, ISO + raw publish time, matched keyword, and collection time, ready to load straight into a database or dashboard.

Use Cases

Algo & Quant Signals

• Feed breaking market-moving headlines into event-driven trading models
• Build a news factor keyed on asset class (Forex, Crypto, Bonds, Commodities)
• Timestamp-align UTC headlines to price bars for backtesting
• Trigger a strategy re-check when Fed, CPI, or NFP headlines land

Market Research

• Track how a theme — rate cuts, oil, AI — moves across asset classes over time
• Assemble a searchable archive of market-moving headlines by keyword
• Compare headline volume across the Forex, Commodities, and Equities feeds

Financial Media Monitoring

• Watch for any mention of a company, ticker, or central bank across the wire
• Surface breaking headlines for a newsroom or research desk
• Archive the market-moving wire for compliance and audit trails

Sentiment & NLP

• Build a labeled corpus of financial headlines for sentiment models
• Score market tone by asset class using the category label on each row
• Correlate headline flow with intraday price moves

Dashboards & Alerting

• Power a live market-news dashboard grouped by asset class
• Push new headlines to Slack or email as they break, filtered by keyword
• Feed a client-facing terminal with structured, deduplicated headlines

Getting Started

Latest Market-Moving Headlines

Zero configuration — pull the most recent headlines from the main wire:

{
    "maxItems": 50
}

Filter by Asset Class

Collect only Forex and Crypto headlines:

{
    "categories": ["forex", "crypto"],
    "maxItems": 100
}

Keyword Search Across the Wire

Track every headline mentioning any of these central banks, newest first:

{
    "searchTerms": ["Federal Reserve", "ECB", "Bank of Japan"],
    "maxItems": 500
}

Input Reference

What to Collect

Parameter	Type	Default	Description
categories	array	[] (main feed)	Asset classes to collect: Market Moving, Forex, Commodities, Crypto, Equities, Bonds, Indexes, or Macro (Economy). Pick one or more, or leave empty to pull the aggregate market-moving feed.
searchTerms	array	[]	Keywords or phrases to match against the whole newswire (e.g. "Federal Reserve", "Bitcoin", "oil"). Each keyword is searched separately. Leave empty to skip keyword filtering.

Limits

Parameter	Type	Default	Description
maxItems	integer	100	The most headlines to collect in one run, counted across all selected categories and keywords combined (duplicates removed). Newest headlines come first, so a lower number returns the latest news faster.

Output

Each record is one headline with ten typed fields:

{
    "id": "9683844",
    "title": "USD/CHF Price Forecast: Bulls pause below 0.8150 as momentum fades",
    "url": "https://www.financialjuice.com/News/9683844/USDCHF-Price-Forecast-Bulls-pause-below-08150-as-momentum-fades.aspx",
    "category": "Forex",
    "tags": [],
    "author": "FXStreet",
    "publishedAt": "2026-07-18T02:01:55.063Z",
    "publishedAtRaw": "2026-07-18T02:01:55.063",
    "searchTerm": null,
    "scrapedAt": "2026-07-18T11:33:25.989Z"
}

Fields

Field	Type	Description
id	string	Unique headline identifier. Used as the deduplication key across feeds and keywords.
title	string	Headline text.
url	string	Permalink to the headline's page on FinancialJuice.
category	string	Asset-class feed the headline came from — Forex, Crypto, Macro, and so on, or "All" for the main feed.
tags	array	Topic tags the wire attached to the headline. Often empty.
author	string	Source outlet that published the headline (e.g. "FXStreet"); "FinancialJuice" when no outlet is named.
publishedAt	string	Publish time in ISO-8601 UTC (with trailing Z).
publishedAtRaw	string	The original publish timestamp exactly as provided by the wire.
searchTerm	string | null	The keyword that surfaced this headline; null when the row did not come from a keyword search.
scrapedAt	string	ISO-8601 UTC time the headline was collected.

Tips for Best Results

• Start small to preview — set maxItems to 25–50 on the first run to confirm the feed and fields match what you need, then scale up.
• Use keyword search for event-driven monitoring — a single term like "Federal Reserve" or a ticker sweeps the whole wire, ideal for alerting on a name the moment it breaks rather than watching a category scroll by.
• Poll categories separately for asset-class dashboards — request each asset class in its own run (or list several in categories) to keep a clean, per-class stream feeding each dashboard panel.
• Keep runs recent and frequent — the feed returns newest headlines first, so short, scheduled runs with a modest maxItems capture breaking news faster and cheaper than one huge backfill.
• Category and keyword narrow independently — a keyword search scans the full newswire rather than filtering inside a single category, so use categories to slice by asset class and keywords to hunt a theme across everything.
• Give multi-word phrases as one entry — put "Bank of Japan" in a single searchTerms item to match the phrase, and use several items to track several names in one run; each row's searchTerm tells you which one matched.
• Deduplication is automatic — request overlapping categories and keywords freely; each headline is returned once, keyed on its ID.

Pricing

From $4.00 per 1,000 results — flat, pay-per-result pricing that undercuts the going rate for FinancialJuice headline data. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows the total cost at each Apify discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.48	$0.45	$0.43	$0.40
1,000	$4.80	$4.50	$4.30	$4.00
10,000	$48.00	$45.00	$43.00	$40.00
100,000	$480.00	$450.00	$430.00	$400.00

A "result" is one headline row in the output dataset. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom workflows when a run completes
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate market research, financial media monitoring, and trading analytics. Users are responsible for complying with applicable laws and FinancialJuice's Terms of Service. Respect copyright when redistributing headlines, and do not use collected data for spam, harassment, or any illegal purpose.