Social & Stock News Sentiment Signals

Stock market sentiment analysis from hundreds of financial news sources, Telegram channels, X (Twitter) and Reddit — scored by AI as bullish, bearish or neutral, ready in seconds.

Markets move on information long before they move on fundamentals. This Actor watches the flow of market-moving news and social chatter, filters out the noise and the duplicates, and hands you a clean, timestamped stream of signals with a finance-tuned sentiment read on every single one.

No account. No login. No API keys to manage. Press Start and get a structured dataset.

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What you get

Every record arrives clean, deduplicated and consistently structured:

Field	Description
id	Stable identifier for the record
content	The signal text, cleaned and ready to read
content_length	Character count
word_count	Word count
published_at	Publication time, UTC ISO-8601
published_date	Publication date, YYYY-MM-DD
sentiment	bullish, bearish or neutral
sentiment_score	Directional score from -1.0 to +1.0
market_impact	high, medium or low

Example output

{
  "id": "8f2c41a90b7d5e63",
  "content": "Earnings call transcript: ATS shares sink 21% after Q1 2026 results",
  "content_length": 66,
  "word_count": 11,
  "published_at": "2026-08-06T13:42:11Z",
  "published_date": "2026-08-06",
  "sentiment": "bearish",
  "sentiment_score": -0.9,
  "market_impact": "high"
}

Example input

{
  "timeRange": "last_24h",
  "maxItems": 1000,
  "sentiment": true
}

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Who it's for

• Day traders and swing traders building a watchlist before the open
• Quant and algo developers who need a sentiment feature for a model
• Hedge fund and research analysts tracking narrative shifts
• Fintech and trading app builders adding a market-sentiment panel
• Newsletter writers and finance creators sourcing the day's story
• Risk teams watching for negative narrative building around a position

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Use cases

1. Pre-market trading plan

Run with Last 24 hours before the open, sort by market_impact: high, and read the bullish and bearish clusters. You start the session knowing what the tape has already priced in.

2. Intraday sentiment monitoring

Run Last hour on a schedule through the day. A sudden cluster of bearish records with high market_impact is an early warning long before it shows up on a chart.

3. Sentiment features for trading models

Aggregate sentiment_score over rolling windows to build a daily or hourly market-mood index for a backtest.

4. Narrative and hype detection

Compare bullish/bearish ratios across days to spot narratives forming, peaking or dying — useful for both momentum entries and fade setups.

5. Earnings season tracking

During earnings, the high impact records surface reactions, guidance changes and surprises as they land.

6. Risk and exposure monitoring

Watch for negative narrative building around sectors or themes you are exposed to, and get an early read on sentiment turning against a position.

7. Content and research automation

Feed the dataset to an LLM to generate a daily market brief, a newsletter section or an internal research digest.

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Use it with AI (MCP)

Connect this Actor to your AI assistant through Apify's MCP integration and let the model pull live sentiment on demand.

"Run the sentiment signals Actor for the last 24 hours, group the high-impact bearish records by theme, and draft me a pre-market trading plan for the open."

This is the fastest way to turn raw market chatter into an actionable morning routine — the assistant collects, clusters and reasons over the signals for you before the bell.

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Integrations

Works out of the box with the Apify platform's integrations:

• n8n — trigger a workflow on every run and route high-impact signals to your desk
• Make (Integromat) — push bullish/bearish clusters into Google Sheets, Notion or Airtable
• Zapier — send high-impact alerts to Slack, Discord, Telegram or email
• Webhooks & API — pull the dataset straight into your own trading stack
• MCP — expose the Actor as a live tool to Claude, ChatGPT or any MCP-capable agent

Schedule it before market open and let the results land wherever you already work.

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AI sentiment scoring — paid Apify plans only

The AI sentiment scoring toggle is available on paid Apify plans.

• Paid plan: every record is scored — sentiment, sentiment_score and market_impact are all populated.
• Free plan: the toggle stays inactive. The three sentiment fields are returned as null and no content is submitted for scoring. Every other field in the dataset is unaffected, and the run completes normally.

You can always turn scoring off yourself to run leaner.

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Speed and cost

Built to be fast and cheap enough to run on a schedule all day:

• Collection of a full 1000-record sweep completes in under 10 seconds
• First scored records land in the dataset within seconds of the run starting
• A full 1000-record run with AI sentiment scoring completes in about 90 seconds
• Runs at the default memory setting, which is tuned for this workload
• No third-party subscriptions and no credentials to buy or rotate

Results arrive as they are produced

Records are written to the dataset progressively during the run, not all at the end. You can open the dataset — or start consuming it through the API, a webhook or an integration — while the run is still going, and the log reports delivery progress as it advances.

You only pay for what you use

Pricing is per delivered record, and the two service levels are billed separately:

Delivered record	Billed as
Without AI sentiment scoring	Standard record
With AI sentiment scoring	Enriched record

Turning the sentiment toggle off drops you to the lower rate for the whole run. Runs also respect the spending limit you set: once it is reached the run stops delivering and closes cleanly, so it can never overshoot your cap.

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FAQ

Do I need to log in to anything? No. There is nothing to authenticate, no cookies to supply and no API keys to buy.

How fresh are the signals? Last hour returns what landed in the past 60 minutes. published_at gives you the exact publication time in UTC.

Why do some runs return fewer records than the maximum? The maximum is a ceiling, not a quota. Outside market hours — nights, weekends, holidays — there is simply less being published.

Can I run it on a schedule? Yes. Schedule it before the open for a pre-market sweep, or hourly during the session for a rolling view.

Is this financial advice? No. This is a research and data product. It surfaces what is being said, not what you should do about it. Signals are unverified third-party content and should be validated before you act on them.

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More Actors by lofomachines

• X (Twitter) Search Scraper — Posts & AI Sentiment
• Google News Scraper
• Reddit Scraper & AI Insights — Posts, Comments & Sentiment
• CoinMarketCap API — Crypto Prices & Market Data
• AI Media Monitor — Brand, News & Sentiment Tracker

Browse all: apify.com/lofomachines

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Keywords: stock market sentiment analysis, financial news API, market sentiment data, stock news scraper, trading signals API, bullish bearish sentiment, pre-market news feed, Reddit stock sentiment, Telegram trading signals, X Twitter finance sentiment, AI sentiment analysis for trading, market mover alerts, financial NLP dataset.