Investing.com Financial News Scraper

Scrape financial news from Investing.com RSS feeds. Cover stocks, forex, commodities, crypto, economy news. Get article titles, links, dates. No authentication required.

Use cases

• Feed a trading dashboard with market and economic headlines
• Run sentiment analysis on financial news
• Monitor commodity, forex, or crypto coverage by category
• Build a pre-market briefing automatically
• Correlate news flow with price movements

Input

Parameter	Type	Required	Default	Description
categories	array	Yes	["news"]	Categories to scrape news from
maxResults	integer	No	50	Maximum number of news articles

Example input

{
  "categories": [
    "news"
  ],
  "maxResults": 50
}

Output

Each dataset item looks like this — real output from an actual run of this Actor:

{
  "title": "Bitcoin down but holds near $80,000 as corporate buying, U.S. crypto vote in focus",
  "link": "https://www.investing.com/news/cryptocurrency-news/bitcoin-trades-near-80000-as-corporate-demand-and-us-crypto-policy-stay-in-focus-4890272",
  "description": "",
  "pubDate": "2026-09-06 14:35:55",
  "category": "news",
  "feedCategory": "news",
  "scrapedAt": "2026-09-06T15:19:23.516Z"
}

Field	Type
title	string
link	string
description	string
pubDate	string
category	string
feedCategory	string
scrapedAt	string

The dataset also ships a preset table view (Overview), so the key columns are readable straight away in Apify Console, and exportable to JSON, CSV, Excel, or XML.

How to run it

In Apify Console — open the Actor, fill in the input form, click Start, then download the results from the Dataset tab.

With the JavaScript client

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('cloud9_ai/investing-news-scraper').call({
  "categories": [
    "news"
  ],
  "maxResults": 50
});

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

With the Python client

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

run = client.actor('cloud9_ai/investing-news-scraper').call(run_input={
  "categories": [
    "news"
  ],
  "maxResults": 50
})

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

With the API — POST https://api.apify.com/v2/acts/cloud9_ai~investing-news-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN with the input JSON as the body.

Notes and limits

• No API key, account, or login is needed — just the input above.
• maxResults caps how much a single run collects, which is also what caps the run's cost.
• Requests are paced and failed requests are retried automatically, so runs stay inside the source's rate limits.
• Only publicly available data is collected. How you use the output is your responsibility, including the source's terms of use and any applicable data-protection law.

Support

Found a bug, or need a field that isn't in the output? Open an issue on the Issues tab of this Actor in Apify Console. Issues there are read and answered.

License

Apache-2.0