# Investing News Scraper (`mscraper/investing-news-scraper`) Actor

Investing News Scraper is a specialized web scraping tool designed to extract news from Investing. The Scraper exports the accumulated data to various formats like JSON, XML, CSV or EXCEL

- **URL**: https://apify.com/mscraper/investing-news-scraper.md
- **Developed by:** [mscraper](https://apify.com/mscraper) (community)
- **Categories:** News
- **Stats:** 56 total users, 0 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: No ratings yet

## Pricing

$20.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Investing.com News Scraper

### What does Investing.com News Scraper do?

Investing.com News Scraper is a specialized web scraping tool designed to extract news from [Investing](https://www.investing.com/).

### Why scrape Investing.com News?

Investing.com News provides a wealth of data on financial news and events from around the world. This data can be used for a variety of purposes, including:

- Analyzing market trends and sentiment
- Identifying investment opportunities
- Monitoring news related to specific companies or industries
- Conducting research on financial news and events

If you're looking to gain insights from financial news, Investing.com News Scraper is the tool for you.

### How to scrape Investing.com News?

Using Investing.com News Scraper is easy. Just add your proxy configuration options in the input field, and click start. The scraper will do the rest, pulling all the relevant data from the platform.

### Input

Investing.com News Scraper has the following input options. Click on the [input tab](https://apify.com/mscraper/investing-news-scraper/input-schema) for more information.

### Results

```json
{
    "input": "26490",
    "news_ID": 3571494,
    "hash": "45dab5f43856756d85cbf624de2451a7",
    "providerId": "1",
    "itemCategoryTags": "25",
    "news_provider_name": "Reuters",
    "last_updated": "2024-08-14 14:32:38",
    "last_updated_uts": 1723645958,
    "type": "text",
    "HEADLINE": "Meta's Instagram failed to curtail hate speech against women politicians, report says",
    "BODY": " <p>(Reuters) -Meta Platforms' Instagram failed to remove abusive comments aimed at female politicians who are potential candidates for the 2024 U.S. elections, according to a report by the non-profit Center for Countering Digital Hate on Wednesday. </p> <p>The report analyzed over half a million comments on Instagram posts by five Democratic and five Republican women politicians, including Senator Elizabeth Warren, former House Speaker Nancy Pelosi, Vice President and presidential candidate Kamala Harris, Senator Marsha Blackburn and Representative Marjorie Taylor Greene.</p> <p>CCDH flagged over 20,000 comments as \"toxic,\" with 1,000 of these comments containing sexist and racist abuse, as well as death and rape threats. Instagram left up 93% of the harmful comments even after breaching the platform's standards.</p> <p>In response to the report, Meta (NASDAQ:<span pair_ID=\"26490\">META</span>) said it has tools in place for users to control comments on their posts, including filtering out offensive comments, phrases or emojis. </p> <p>\"We will review the CCDH report and take action on any content that violates our policies,\" said Cindy Southworth, head of women's safety at Meta. </p> <p>In its analysis of the 2020 U.S. election, the CCDH report found that women of color were more likely to be targets of sexist and racist abuse.</p> <p>The rise of online abuse against women politicians has drawn criticism from advocacy groups. </p> <p>It also highlighted how social media algorithms that prioritize emotional content and engagement can inadvertently amplify this abuse, a feature that politicians often leverage to boost their engagement rates.</p> <p><img src=\"https://i-invdn-com.investing.com/trkd-images/LYNXMPEK7D0HS_L.jpg/" title=\"© Reuters. Democratic presidential candidate and U.S. Vice President Kamala Harris attends a campaign event at UNLV (University of Nevada, Las Vegas) campus, in Las Vegas, Nevada, U.S., August 10, 2024. REUTERS/Kevin Mohatt/ File Photo\" alt=\"© Reuters. Democratic presidential candidate and U.S. Vice President Kamala Harris attends a campaign event at UNLV (University of Nevada, Las Vegas) campus, in Las Vegas, Nevada, U.S., August 10, 2024. REUTERS/Kevin Mohatt/ File Photo\" rel=\"external-image\"></p>\n<p>This underscores the role social media platforms and their algorithms play in the propagation of online abuse, a problem that extends beyond the political sphere and affects millions of users worldwide.</p> <p>The report urged social media platforms to enforce their safety guidelines more effectively and take decisive action against targeted online abuse.</p> <p><span id=\"85.193.245.80\"> </span>",
    "news_link": "https://www.investing.com/news/stock-market-news/metas-instagram-failed-to-curtail-hate-speech-against-women-politicians-report-says-3571494",
    "third_party_url": "",
    "related_image": "https://i-invdn-com.investing.com/news/external-images-thumbnails/LYNXMPEK7D0HL_L.jpg",
    "related_image_big": "https://i-invdn-com.investing.com/trkd-images/LYNXMPEK7D0HL_L.jpg",
    "vid_filename": "",
    "comments_cnt": "1",
    "is_partial": "no",
    "itemType": "hosted",
    "news_type": "AkapiAdmin",
    "pro_article": false
}
```

### Is it legal to scrape Investing.com?

Note that personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. We also recommend that you read our blog post: is web scraping legal?

### Contact

Please feel free to browse through the diverse array of web scrapers available on my Apify profile. If a custom solution or extra options are what you're seeking, don't hesitate to get in touch with me directly at hello@mscraper.com.

# Actor input Schema

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

Tickers to scrape.

## `ids` (type: `array`):

IDs to scrape.

## `devLogs` (type: `boolean`):

No description

## `proxy` (type: `object`):

Select proxies to be used by your crawler.

## Actor input object example

```json
{
  "tickers": [
    "AAPL"
  ],
  "ids": [
    "26490"
  ],
  "devLogs": false,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyCountry": "US"
  }
}
```

# 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 = {
    "tickers": [
        "AAPL"
    ],
    "ids": [
        "26490"
    ],
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("mscraper/investing-news-scraper").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 = {
    "tickers": ["AAPL"],
    "ids": ["26490"],
    "proxy": {
        "useApifyProxy": True,
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("mscraper/investing-news-scraper").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 '{
  "tickers": [
    "AAPL"
  ],
  "ids": [
    "26490"
  ],
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyCountry": "US"
  }
}' |
apify call mscraper/investing-news-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mscraper/investing-news-scraper"
        }
    }
}

```

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/scEwiambV6iONAdcp/builds/YBUDcLCaCyX8HqYPL/openapi.json
