# Finviz Stock Screener Scraper (`moving_beacon-owner1/finviz-stock-screener-scraper`) Actor Scrape Finviz screener results to collect stock tickers, prices, market cap, P/E, sector, industry, volume, percentage change, and quote links. Supports custom filters, signals, sorting, ticker lists, multiple pages, and Apify Residential Proxy. - **URL**: https://apify.com/moving\_beacon-owner1/finviz-stock-screener-scraper.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.99 / 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. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Finviz Stock Screener Scraper An [Apify actor](https://apify.com/actors) that runs a **Finviz screener** query and returns the ticker rows — price, change, P/E, market cap, sector, industry, volume, and quote link. ```` ### Input | Field | Type | Default | Notes | |---|---|---|---| | `filters` | string list | `[]` | e.g. `cap_large`, `fa_pe_low`, `exch_nasd`. | | `signal` | string | — | e.g. `ta_topgainers`, `ta_newhigh`. | | `order` | string | — | e.g. `-marketcap`, `price`, `-change`. | | `tickers` | string list | `[]` | Screen specific tickers only. | | `view` | string | `111` | Finviz table view code (changes columns). | | `maxPages` | integer | `5` | 20 rows per page. | | `requestDelaySecs` | integer | `1` | Keep ≥1s; Finviz rate-limits hard. | | `proxyConfiguration` | proxy | Residential | Recommended. | #### Example input ```json { "filters": ["cap_large", "sec_technology"], "signal": "ta_topgainers", "order": "-marketcap", "maxPages": 3, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` ### Output ```json { "no": "1", "ticker": "A", "company": "Agilent Technologies Inc", "sector": "Healthcare", "industry": "Diagnostics & Research", "country": "USA", "market_cap": "37.93B", "pe": "26.97", "price": "134.29", "change": "0.52%", "volume": "2,175,279", "url": "https://finviz.com/quote.ashx?t=A" } ``` Values are kept as Finviz displays them (strings with `%`, `B`, thousands separators). Non-default `view` codes change the columns Finviz renders, so fields outside the Overview set may come back `null`. # Actor input Schema ## `filters` (type: `array`): Finviz filter codes (the 'f=' URL parameter), one per line, e.g. "cap\_large", "fa\_pe\_low", "sec\_technology", "exch\_nasd". ## `signal` (type: `string`): Optional Finviz signal code (the 's=' URL parameter), e.g. "ta\_topgainers", "ta\_newhigh", "ta\_unusualvolume". ## `order` (type: `string`): Optional sort code (the 'o=' URL parameter), e.g. "-marketcap" (market cap desc), "price", "-change". ## `tickers` (type: `array`): Optional list of specific tickers to screen (the 't=' URL parameter), e.g. AAPL, MSFT. ## `view` (type: `string`): Finviz table view code (the 'v=' URL parameter). "111" is the default Overview table; other views change the columns returned. ## `maxPages` (type: `integer`): Maximum screener pages to crawl (20 rows per page). ## `requestDelaySecs` (type: `integer`): Politeness delay between paginated requests. Finviz rate-limits aggressively; keep at least 1s. ## `proxyConfiguration` (type: `object`): Route requests through Apify Proxy. Defaults to residential proxies, which are the most reliable against Finviz's blocking; you can switch to datacenter here if you prefer. ## Actor input object example ```json { "filters": [ "cap_large", "sec_technology" ], "signal": "ta_topgainers", "order": "-marketcap", "tickers": [], "view": "111", "maxPages": 3, "requestDelaySecs": 1, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "filters": [ "cap_large", "sec_technology" ], "signal": "ta_topgainers", "order": "-marketcap", "view": "111", "maxPages": 3, "requestDelaySecs": 1 }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/finviz-stock-screener-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 = { "filters": [ "cap_large", "sec_technology", ], "signal": "ta_topgainers", "order": "-marketcap", "view": "111", "maxPages": 3, "requestDelaySecs": 1, } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/finviz-stock-screener-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 '{ "filters": [ "cap_large", "sec_technology" ], "signal": "ta_topgainers", "order": "-marketcap", "view": "111", "maxPages": 3, "requestDelaySecs": 1 }' | apify call moving_beacon-owner1/finviz-stock-screener-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/finviz-stock-screener-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Finviz Stock Screener Scraper", "description": "Scrape Finviz screener results to collect stock tickers, prices, market cap, P/E, sector, industry, volume, percentage change, and quote links. Supports custom filters, signals, sorting, ticker lists, multiple pages, and Apify Residential Proxy.", "version": "0.0", "x-build-id": "d7mMIuCfDHbe2fccz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~finviz-stock-screener-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-finviz-stock-screener-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~finviz-stock-screener-scraper/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-finviz-stock-screener-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~finviz-stock-screener-scraper/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-finviz-stock-screener-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "filters": { "title": "Filters", "type": "array", "description": "Finviz filter codes (the 'f=' URL parameter), one per line, e.g. \"cap_large\", \"fa_pe_low\", \"sec_technology\", \"exch_nasd\".", "default": [], "items": { "type": "string" } }, "signal": { "title": "Signal", "type": "string", "description": "Optional Finviz signal code (the 's=' URL parameter), e.g. \"ta_topgainers\", \"ta_newhigh\", \"ta_unusualvolume\"." }, "order": { "title": "Order", "type": "string", "description": "Optional sort code (the 'o=' URL parameter), e.g. \"-marketcap\" (market cap desc), \"price\", \"-change\"." }, "tickers": { "title": "Tickers", "type": "array", "description": "Optional list of specific tickers to screen (the 't=' URL parameter), e.g. AAPL, MSFT.", "default": [], "items": { "type": "string" } }, "view": { "title": "View", "type": "string", "description": "Finviz table view code (the 'v=' URL parameter). \"111\" is the default Overview table; other views change the columns returned.", "default": "111" }, "maxPages": { "title": "Max pages", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum screener pages to crawl (20 rows per page).", "default": 5 }, "requestDelaySecs": { "title": "Delay between pages (seconds)", "minimum": 0, "maximum": 60, "type": "integer", "description": "Politeness delay between paginated requests. Finviz rate-limits aggressively; keep at least 1s.", "default": 1 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Route requests through Apify Proxy. Defaults to residential proxies, which are the most reliable against Finviz's blocking; you can switch to datacenter here if you prefer.", "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 } } } } } } } } } } ```