# Seeking Alpha Scraper — Valuation, Dividends, Ratings (`bovi/seeking-alpha-scraper`) Actor Scrape Seeking Alpha for a dense per-ticker valuation snapshot — price, market cap, P/E, P/S, P/B, EPS, dividends, margins, 52-week range, Wall-St rating, analyst targets, and SA Quant ranks. Plus dividend history and company profiles. No API key. Pay per result. - **URL**: https://apify.com/bovi/seeking-alpha-scraper.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Business, Developer tools, MCP servers - **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $18.43 / 1,000 ticker snapshots 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/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 ### Seeking Alpha Scraper — Dividends, Ratings & Company Profiles Extract stock analysis data from Seeking Alpha — dividend history, company overviews, analyst ratings, and company profiles. No API key required. Pay per result. ### Use cases - **Dividend research:** Build a dividend income tracker by pulling 2 years of payment history for your watchlist (amount, ex-date, pay-date, frequency). - **Stock screener data:** Enrich a portfolio spreadsheet with live P/E ratio, market cap, 52-week range, and analyst consensus ratings. - **Financial monitoring:** Automate alerts when sector, employees, or description data changes for target companies. - **Quant / AI pipelines:** Feed structured stock metadata into LLM analysis, ML models, or data warehouses without paying $25–599/mo for official data APIs. ### Input | Field | Type | Description | |-------|------|-------------| | `tickers` | string[] | Stock ticker symbols, e.g. `AAPL`, `MSFT`, `TSLA`, `NVDA` | | `dataTypes` | string[] | What to fetch: `overview`, `dividends`, `profile` (default: `overview`) | | `maxItems` | integer | Max total records. 0 = no limit (default: 100) | | `proxyConfiguration` | object | Apify Proxy settings. RESIDENTIAL recommended | ### Output #### Overview record ```json { "ticker": "AAPL", "data_type": "overview", "name": "Apple Inc.", "price": 192.35, "currency": "USD", "market_cap": 4428825400000, "shares_outstanding": 14687356000, "pe_ratio": 36.55, "pe_ratio_fwd": 34.47, "ps_ratio": 9.88, "pb_ratio": 41.53, "ev_ebitda": 27.30, "eps_ttm": 8.25, "dividend_yield_ttm": 0.35, "dividend_yield_fwd": 0.36, "payout_ratio": 12.58, "dividend_growth_5y": 4.69, "roe": 141.47, "gross_margin": 47.86, "net_margin": 27.15, "revenue_growth_yoy": 12.76, "week52_high": 317.4, "week52_low": 195.07, "return_1y_pct": 47.87, "wall_st_rating": 4.02, "analyst_price_target": 310.51, "analysts_buy": 23, "analysts_hold": 15, "analysts_sell": 1, "quant_overall_rank": 695, "quant_sector_rank": 108, "sa_authors_count": 14, "sector": "Information Technology", "industry": "Technology Hardware, Storage and Peripherals", "parse_confidence": "HIGH", "scraped_at": "2026-06-09T10:00:00Z" } ```` `wall_st_rating` is the Wall-Street analyst consensus (1 = strong sell … 5 = strong buy). `quant_*_rank` are Seeking Alpha's Quant ranks (lower = stronger). `sa_authors_*` (not shown in full above) is the SA contributor rating distribution: strong\_buy / buy / hold / sell / strong\_sell counts. #### Dividend record ```json { "ticker": "AAPL", "data_type": "dividends", "amount": 0.25, "currency": "USD", "ex_dividend_date": "2026-02-07", "payment_date": "2026-02-13", "frequency": "quarterly", "parse_confidence": "HIGH", "scraped_at": "2026-06-09T10:00:00Z" } ``` ### Notes - Uses Seeking Alpha's internal v3 API (headless, no browser required) - Anti-bot resilient: rotates to a fresh RESIDENTIAL IP per ticker on any PerimeterX block (up to 6 tries) — reliable on large batches - Polite ~1s pacing between requests per ticker ### 💰 Pricing & how we compare **Pay-per-result (PPE): $19 / 1K snapshots ($0.019 each).** You are billed per `ticker-snapshot` actually returned — plus the tiny `apify-actor-start` fee Apify waives for short runs. No subscription, no API key, no proxy fee on top. **Our edge:** ONE dense snapshot per ticker (50+ fields) — price, market cap, PE (GAAP/non-GAAP/fwd), P/S, P/B, EV/EBITDA, EPS, dividend yields + payout + 5y growth, ROE, gross/net margin, revenue growth, 52-week range, 1y/YTD return, **Wall-St analyst rating (1–5) + price target + buy/hold/sell**, **SA Quant ranks**, **SA Authors rating distribution**, sector/industry — not one row per article. No rival returns this consolidated valuation snapshot. **Pricing examples** (pay only for what you get, minus Apify's 20%): | Volume | Cost | |---|---| | 100 snapshots | $1.90 | | 1,000 snapshots | $19.00 | | 10,000 snapshots | $190.00 | #### How rivals price the same job (live Apify Store, checked 2026-06-09) | Actor | Their price | What they lack vs us | |---|---|---| | `parseforge/seekingalpha-scraper` | $0.021 / result | per-article rows, not a consolidated ticker snapshot | | `fortuitous_pirate/seekingalpha-stock-analysis-scraper` | $0.02 + $0.15 start | 1★, per-article | | `doesaiknow/seeking-alpha-api-news-dividend-data` | $0.005 / item | cheaper but news/dividend feed, not a valuation snapshot | *Prices above are competitors' live Store prices at the time of writing; ours is set to sit just below the strongest comparable while returning richer, quality-scored data.* ### 🤖 Use with AI agents (MCP) This actor is agent-ready (category **MCP\_SERVERS**). Point any MCP client (Claude Desktop, Cursor, n8n AI, LangGraph) at it: ```json { "mcpServers": { "apify": { "url": "https://mcp.apify.com/?actors=bovi/seeking-alpha-scraper", "headers": { "Authorization": "Bearer " } } } } ``` # Actor input Schema ## `tickers` (type: `array`): Stock ticker symbols to scrape, e.g. AAPL, MSFT, TSLA, NVDA. Up to 100 per run. ## `dataTypes` (type: `array`): What data to fetch for each ticker. overview: price, market cap, P/E, dividend yield, 52-week range. dividends: dividend payment history. profile: company description, sector, employees, founded. ## `maxItems` (type: `integer`): Maximum total records to return across all tickers and data types. 0 = no limit. ## `proxyConfiguration` (type: `object`): Apify Proxy settings. RESIDENTIAL recommended for reliability. ## Actor input object example ```json { "tickers": [ "AAPL", "MSFT" ], "dataTypes": [ "overview" ], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing Seeking Alpha Scraper records (ticker, name, price, market\_cap, pe\_ratio, dividend\_yield\_ttm, wall\_st\_rating, analyst\_price\_target, quant\_overall\_rank, sector, scraped\_at, parse\_confidence). # 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", "MSFT" ], "dataTypes": [ "overview" ], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/seeking-alpha-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", "MSFT", ], "dataTypes": ["overview"], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("bovi/seeking-alpha-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 '{ "tickers": [ "AAPL", "MSFT" ], "dataTypes": [ "overview" ], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call bovi/seeking-alpha-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/seeking-alpha-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Seeking Alpha Scraper — Valuation, Dividends, Ratings", "description": "Scrape Seeking Alpha for a dense per-ticker valuation snapshot — price, market cap, P/E, P/S, P/B, EPS, dividends, margins, 52-week range, Wall-St rating, analyst targets, and SA Quant ranks. Plus dividend history and company profiles. No API key. Pay per result.", "version": "0.1", "x-build-id": "qC1cllnT2rPZzb9ho" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~seeking-alpha-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-seeking-alpha-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bovi~seeking-alpha-scraper/runs": { "post": { "operationId": "runs-sync-bovi-seeking-alpha-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bovi~seeking-alpha-scraper/run-sync": { "post": { "operationId": "run-sync-bovi-seeking-alpha-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "tickers" ], "properties": { "tickers": { "title": "Ticker symbols", "type": "array", "description": "Stock ticker symbols to scrape, e.g. AAPL, MSFT, TSLA, NVDA. Up to 100 per run.", "items": { "type": "string" } }, "dataTypes": { "title": "Data types", "type": "array", "description": "What data to fetch for each ticker. overview: price, market cap, P/E, dividend yield, 52-week range. dividends: dividend payment history. profile: company description, sector, employees, founded.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Maximum total records to return across all tickers and data types. 0 = no limit." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy settings. RESIDENTIAL recommended for reliability." } } }, "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 } } } } } } } } } } ```