FinancialJuice Scraper

FinancialJuice RSS Scraper is an Apify Actor that extracts structured financial news data from FinancialJuice RSS feeds in real time. Each run delivers normalized JSON news items — title, publication dates, article URL, GUID, categories, author, and content — straight to your Apify dataset. Built for quantitative traders, fintech developers, and financial data pipelines requiring real-time market intelligence.

What Is FinancialJuice RSS Scraper?

FinancialJuice RSS Scraper is a serverless financial news API built on Apify. It fetches the FinancialJuice RSS feed on demand and converts each entry into a clean, structured JSON item with RFC 822 and ISO 8601 publication dates, so downstream systems can consume market-moving headlines without parsing XML. Control exactly how many items you get per run with the maxItems input.

Extracts: Title, publication date (RFC 822 & ISO 8601), article URL, GUID, categories, author, content snippets.

Key Features

• Real-Time Extraction — fetch the latest financial news on demand
• Structured Output — JSON data normalized to ISO standards
• Configurable Limits — control the item count per run (maxItems, 0 = all)
• Pay-Per-Event Billing — $0.005 per scraped item, $0.01 minimum per run
• Serverless — no infrastructure management, auto-scaling on Apify
• No charges for failed runs — if the feed is unavailable, nothing is billed

Supported Feed Content

Each scraped item includes:

Field	Description
title	Article headline
link	Article URL on FinancialJuice
pubDate	Publication date (RFC 822)
isoDate	Publication date (ISO 8601)
guid	Item GUID
categories	Article categories (e.g. market, trading)
author	Author name
id, timestamp	Unique item ID and extraction timestamp

Use Cases

Quantitative Trading

Integrate real-time financial news into algorithmic trading systems. Feed sentiment analysis, event-driven strategies, and market microstructure models.

Financial News Aggregation

Build dashboards and news terminals. Aggregate across feeds, filter by category, and track market-moving events.

Market Intelligence & Research

Monitor financial news cycles for research. Track coverage patterns, identify emerging narratives, support alpha generation.

ML/AI Training Pipelines

Train NLP models on financial text. Build sentiment classifiers, topic models, and event extraction systems.

Academic Research

Collect historical financial news data for academic studies. Analyze media coverage and market reactions.

Input Parameters

Parameter	Type	Required	Default	Description
maxItems	integer	No	0 (all)	Maximum items to return (0 = all)

Example input:

{
  "maxItems": 10
}

Sample Output

{
  "id": "uuid",
  "timestamp": "ISO-8601",
  "title": "Article Title",
  "link": "https://www.financialjuice.com/News/...",
  "pubDate": "Tue, 31 Mar 2026 11:13:14 GMT",
  "isoDate": "2026-03-31T11:13:14.000Z",
  "guid": "9513080",
  "categories": ["market", "trading"],
  "author": "FinancialJuice"
}

How to Use the FinancialJuice RSS Scraper

1. Open the Actor page on Apify Store and click Start Actor.
2. Optionally set maxItems (default 10 in the console prefill; 0 returns everything).
3. Run the Actor via the Apify Console, API, or scheduler.
4. Output arrives in your default dataset as structured JSON — download it or stream it via the API.

Connect via API

cURL:

curl -X POST "https://api.apify.com/v2/acts/akash9078/financialjuice-scraper/runs" \
-H "Authorization: Bearer YOUR_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"maxItems": 10}'

Python:

import requests

response = requests.post(
    "https://api.apify.com/v2/acts/akash9078/financialjuice-scraper/runs",
    headers={"Authorization": "Bearer YOUR_API_TOKEN"},
    json={"maxItems": 10},
)
print(response.json())

Node.js with the Apify Client:

const { ApifyClient } = require('apify-client');

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('akash9078/financialjuice-scraper').call({
    maxItems: 10,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

FinancialJuice RSS Scraper Pricing

Metric	Value
Per Item	$0.005
Minimum Per Run	$0.01
10 items	$0.05
100 items	$0.50
1,000 items	$5.00

Pricing formula: (items × $0.005) with $0.01 floor per run.

Pricing examples:

Scenario	Items	Cost
Daily monitoring	10	$0.05
Real-time signals	20	$0.10
Bulk research collection	100	$0.50
Large-scale analysis	1,000	$5.00

Why Use This Instead of Polling the RSS Feed Yourself?

Capability	FinancialJuice RSS Scraper	DIY RSS polling
Date normalization	RFC 822 + ISO 8601 per item	Manual parsing
Delivery	Apify Dataset (JSON/CSV/Excel)	Your own storage
Scheduling	Built-in cron and webhooks	Custom cron
Billing	$0.005 per item, nothing on failure	Server costs regardless
Monitoring	Runs and logs in Apify Console	None

Limitations

• Scrapes the FinancialJuice RSS feed; maxItems controls how many items are returned
• Runs on Node.js 20 with 128 MB of memory
• Feed availability depends on FinancialJuice — unavailable feeds fail with an error and no charges

Technical Specifications

Specification	Detail
Platform	Apify
Runtime	Node.js 20
Memory	128 MB
Output	Apify Dataset (JSON)
Pricing Model	Pay-Per-Event

Changelog

Version	Date	Changes
1.0.0	2026-04-24	Initial release with PPE pricing

FAQ

What happens if the RSS feed is unavailable?

The Actor fails with an error message. No charges apply for failed runs.

How many items can I get per run?

As many as the feed offers — set maxItems to 0 to return everything, or cap it at any number.

How is the minimum $0.01 per run enforced?

Apify enforces the minimalMaxTotalChargeUsd threshold at the platform level.

Is there a free tier?

Apify free plans are billed at the platform level. PPE revenue applies only to paid plan users.

Related Actors

If you need more market and financial data from Apify, check out my other Apify Actors:

• Exchange Rate API
• Forbes Real-Time Billionaires Scraper
• Daily Horoscope API

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Built and maintained by akash9078 on the Apify platform.