# CNBC Financial News Scraper — Headlines & Stock Tickers (`axery/cnbc-financial-news-tickers`) Actor

Scrape CNBC financial news from all sections (markets, investing, economy, earnings) with automatic stock ticker extraction. Filter by ticker or section. No login required.

- **URL**: https://apify.com/axery/cnbc-financial-news-tickers.md
- **Developed by:** [Axery](https://apify.com/axery) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 cnbc article extracteds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## CNBC Financial News Scraper — Headlines & Stock Tickers

Scrape **CNBC** — the #1 financial news network globally — across all sections with automatic stock ticker extraction. Used by traders, hedge funds, and financial AI pipelines.

### What it returns

| Field | Description |
|---|---|
| `title` | Article headline |
| `published_at` | UTC ISO-8601 timestamp |
| `url` | Direct article URL |
| `section` | CNBC section: `markets`, `investing`, `economy`, `earnings`, etc. |
| `stock_tickers` | Tickers automatically extracted from URL, title, and keywords |
| `has_tickers` | `true` if any stocks are mentioned |
| `keywords` | CNBC tags/categories |
| `description` | Article teaser (RSS feeds only) |

### Available sections

| Section key | Description |
|---|---|
| `sitemap` | Full news archive — all recent CNBC articles |
| `markets` | Markets section RSS |
| `investing` | Investing section RSS |
| `economy` | Economy & Policy RSS |
| `earnings` | Earnings news RSS |
| `finance` | Finance RSS |
| `top_news` | CNBC Top Stories RSS |

### Input options

- **`maxItems`** — Article limit (default 100, `0` = all)
- **`sections`** — List of sections: `["sitemap"]`, `["markets", "earnings"]`, etc.
- **`tickers`** — Filter to specific stocks: `["NVDA", "AAPL", "TSLA"]`
- **`proxyConfiguration`** — Proxy settings (Residential recommended)

### Use cases

- **Breaking news monitoring** — Catch Fed announcements, earnings surprises in real-time
- **Earnings tracking** — Scrape the `earnings` section for quarterly results
- **Market-moving news** — Monitor `markets` feed for trade alert triggers
- **Macro research** — Track `economy` section for Fed, inflation, employment news
- **Portfolio monitoring** — Filter by your holdings' tickers for relevant news

# Actor input Schema

## `maxItems` (type: `integer`):

Cap on articles returned. `0` returns all available.

## `sections` (type: `array`):

Which CNBC sections to scrape. Options: sitemap, markets, investing, economy, earnings, finance, top\_news. Default: sitemap (full archive).

## `tickers` (type: `array`):

Only return articles mentioning these tickers. E.g. AAPL, TSLA, NVDA.

## `proxyConfiguration` (type: `object`):

Apify Proxy settings. Residential IPs recommended.

## Actor input object example

```json
{
  "maxItems": 100,
  "sections": [
    "markets",
    "investing",
    "earnings"
  ],
  "tickers": [
    "NVDA",
    "AAPL"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing output records.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("axery/cnbc-financial-news-tickers").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "maxItems": 100 }

# Run the Actor and wait for it to finish
run = client.actor("axery/cnbc-financial-news-tickers").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxItems": 100
}' |
apify call axery/cnbc-financial-news-tickers --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axery/cnbc-financial-news-tickers"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/eY8ZKcPeJ9U4Q2eva/builds/BRGNXerQ5lt08PA3Y/openapi.json