# Trending Stocks Scraper for News Trading (`c0nst/trending-stocks-scraper`) Actor Scrapes Seeking Alpha, Yahoo Finance, and StockAnalysis for the last 24 hours and returns trending stocks or tickers ranked by article mention count. - **URL**: https://apify.com/c0nst/trending-stocks-scraper.md - **Developed by:** [Kostiantyn](https://apify.com/c0nst) (community) - **Categories:** Automation, News, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.70 / run started 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Trending Stocks Scraper Finds which stock tickers are getting the most attention right now. The scraper aggregates news from multiple financial sources, counts how many articles each ticker appears in over the last 24 hours, and returns a ranked list. ### Sources | Source | What it provides | |---|---| | **Seeking Alpha** — trending, market news, earnings | Bulk mention counts + TRENDING and EARNINGS tags | | **Yahoo Finance** — trending stocks table | Additional TRENDING signal | | **StockAnalysis** — all-stocks news | Recent article mentions (last ~3 hours) | ### Input | Field | Type | Default | Description | |---|---|---|---| | `filterOption` | string | `ALL` | Which tickers to include in output | | `sortOption` | string | `TRENDING` | How to order output rows | | `proxyConfiguration` | object | Apify residential | Proxies for Seeking Alpha (required for full coverage) | #### Filter options | Value | Effect | |---|---| | `ALL` | Every ticker found | | `EXCLUDE_TOP_20` | Removes the 20 largest S&P 500 stocks (AAPL, MSFT, NVDA…) | | `EXCLUDE_TOP_100` | Removes the 100 largest S&P 500 stocks | #### Sort options | Value | Order | |---|---| | `TRENDING` | Trending → Earnings → Others, by mentions within each group | | `EARNINGS` | Earnings → Trending → Others, by mentions within each group | | `MENTIONS` | Pure mention count, descending | ### Output One row per ticker. ```json [ { "ticker": "PLTR", "mentions": 8, "tags": ["TRENDING"] }, { "ticker": "NVAX", "mentions": 5, "tags": ["EARNINGS"] }, { "ticker": "ARM", "mentions": 3, "tags": [] } ] ```` | Field | Description | |---|---| | `ticker` | Stock symbol (e.g. `AAPL`, `BRK.B`) | | `mentions` | Unique articles from the last 24 hours featuring this ticker | | `tags` | `TRENDING` if on Yahoo Finance or Seeking Alpha trending; `EARNINGS` if in earnings news | ### Notes - **Proxies**: Seeking Alpha requires residential proxies beyond page 1. Without them only the first page of each feed loads — Yahoo Finance and StockAnalysis still work proxy-free. - **S\&P 500 lists** in `src/sp500.ts` are snapshots as of 2025 and are not fetched live. - A run typically completes in 2–5 minutes. # Actor input Schema ## `filterOption` (type: `string`): Controls which tickers are included in the output. ALL returns every ticker found. EXCLUDE\_TOP\_20 removes the 20 largest S\&P 500 constituents. EXCLUDE\_TOP\_100 removes the 100 largest. ## `sortOption` (type: `string`): Controls how output rows are ordered. TRENDING puts trending tickers first, EARNINGS puts earnings tickers first, MENTIONS sorts purely by mention count. ## `proxyConfiguration` (type: `object`): Residential proxies are required to bypass Seeking Alpha's bot protection. Without proxies only the first page of each section loads. ## Actor input object example ```json { "filterOption": "ALL", "sortOption": "TRENDING", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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("c0nst/trending-stocks-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("c0nst/trending-stocks-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).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 c0nst/trending-stocks-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=c0nst/trending-stocks-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trending Stocks Scraper for News Trading", "description": "Scrapes Seeking Alpha, Yahoo Finance, and StockAnalysis for the last 24 hours and returns trending stocks or tickers ranked by article mention count.", "version": "0.0", "x-build-id": "XqzC3aOU1RjoRbiNk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/c0nst~trending-stocks-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-c0nst-trending-stocks-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/c0nst~trending-stocks-scraper/runs": { "post": { "operationId": "runs-sync-c0nst-trending-stocks-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/c0nst~trending-stocks-scraper/run-sync": { "post": { "operationId": "run-sync-c0nst-trending-stocks-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "filterOption": { "title": "S&P 500 Filter", "enum": [ "ALL", "EXCLUDE_TOP_20", "EXCLUDE_TOP_100" ], "type": "string", "description": "Controls which tickers are included in the output. ALL returns every ticker found. EXCLUDE_TOP_20 removes the 20 largest S&P 500 constituents. EXCLUDE_TOP_100 removes the 100 largest.", "default": "ALL" }, "sortOption": { "title": "Sort Order", "enum": [ "TRENDING", "EARNINGS", "MENTIONS" ], "type": "string", "description": "Controls how output rows are ordered. TRENDING puts trending tickers first, EARNINGS puts earnings tickers first, MENTIONS sorts purely by mention count.", "default": "TRENDING" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Residential proxies are required to bypass Seeking Alpha's bot protection. Without proxies only the first page of each section loads.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```