# Stock Catalyst Scraper - Filing & News Signals (`seeb/stock-catalyst-scraper`) Actor
Scrape public-company catalysts from filings, earnings dates, press releases, and source pages with urgency scoring.
- **URL**: https://apify.com/seeb/stock-catalyst-scraper.md
- **Developed by:** [Techionik](https://apify.com/seeb) (community)
- **Categories:** News, Automation, Lead generation
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
$25.00 / 1,000 catalyst signals
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?
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
## Stock Catalyst Scraper - Filing & News Signals
Stock Catalyst Scraper extracts recent public-company filing catalysts from SEC company submission feeds. It is built for users who need export-ready market research rows from ticker symbols, with direct source links and concise summaries for review workflows.
Enter a list of tickers and the actor returns recent filing signals such as current reports, quarterly and annual reports, registration statements, prospectus filings, insider ownership forms, proxy statements, and other catalyst-like public filings. The result is a clean dataset that can be filtered, exported, scheduled, or connected to downstream tools.
### Dataset Fields
Each result row includes:
- `ticker`: Normalized stock ticker
- `companyName`: SEC company name for the ticker
- `catalystType`: Filing form detected for the catalyst
- `filingDate`: Date the filing was submitted
- `reportDate`: Report date when available
- `accessionNumber`: SEC accession number
- `sourceUrl`: Direct SEC document URL
- `urgencyScore`: Simple score based on filing type importance
- `signalSummary`: Human-readable filing summary
- `scrapedAt`: Timestamp for the scrape
### Good Fit For
- Market research workflows that start from known tickers
- Filing alert backfills before creating a scheduled monitor
- Analyst queues that need direct filing URLs
- Lead and investment research teams reviewing corporate events
- Spreadsheet exports of recent public-company filing activity
### Input Options
- `tickers`: Public ticker symbols, for example `AAPL`, `MSFT`, `NVDA`, or `TSLA`
- `maxResults`: Cap the number of filing rows returned
- `monitorChanges`: Store snapshots so scheduled runs can compare changes
- `onlyChanges`: Emit only new or changed filing rows when snapshots are enabled
- `maxRunSeconds`: Stop the run within a predictable time window
- `requestTimeoutSeconds`: Limit each public HTTP request
### Reliability Notes
Rows are backed by public SEC metadata and include direct source URLs. When the actor cannot match a ticker or a source is temporarily unavailable, it records a run notice rather than creating filler records. Review the linked SEC filing for full context before using a signal in investment or business decisions.
# Actor input Schema
## `tickers` (type: `array`):
Public stock ticker symbols such as AAPL, MSFT, NVDA, or TSLA.
## `maxResults` (type: `integer`):
Maximum dataset rows to write.
## `monitorChanges` (type: `boolean`):
Save a snapshot and compare future runs.
## `onlyChanges` (type: `boolean`):
When change detection is enabled, output only new or changed rows.
## `maxRunSeconds` (type: `integer`):
Hard runtime guard for predictable scheduled runs.
## `requestTimeoutSeconds` (type: `integer`):
Timeout per public HTTP request.
## Actor input object example
```json
{
"tickers": [
"AAPL",
"MSFT"
],
"maxResults": 25,
"monitorChanges": false,
"onlyChanges": false,
"maxRunSeconds": 180,
"requestTimeoutSeconds": 15
}
```
# Actor output Schema
## `results` (type: `string`):
Open the default dataset to view structured rows, source URLs, scores, and scraped timestamps.
# 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 = {};
// Run the Actor and wait for it to finish
const run = await client.actor("seeb/stock-catalyst-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 = {}
# Run the Actor and wait for it to finish
run = client.actor("seeb/stock-catalyst-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 '{}' |
apify call seeb/stock-catalyst-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,seeb/stock-catalyst-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/rho5llfEiD3OJmRgB/builds/4aHPKYNyBYOWd9hCw/openapi.json