# 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:** 55 total users, 0 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## 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": "

(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.

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.

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.

In response to the report, Meta (NASDAQ:META) said it has tools in place for users to control comments on their posts, including filtering out offensive comments, phrases or emojis.

\"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.

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.

The rise of online abuse against women politicians has drawn criticism from advocacy groups.

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.

\"©

\n

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.

The report urged social media platforms to enforce their safety guidelines more effectively and take decisive action against targeted online abuse.

", "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 '' with your token const client = new ApifyClient({ 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 '' with your token. client = ApifyClient("") # 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 ` 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