# Simply Wall Street Narrative Scraper (`saswave/simply-wall-street-narrative-scraper`) Actor Specialized data extraction tool designed to capture the "investment stories" and valuation models shared by the Simply Wall Street community. Focus on the qualitative and quantitative reasoning, stock valuation, including revenue growth projections, fair value estimates, and intrinsic discounts. - **URL**: https://apify.com/saswave/simply-wall-street-narrative-scraper.md - **Developed by:** [SASWAVE](https://apify.com/saswave) (community) - **Categories:** Automation, Social media, News - **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. 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 ### Simply Wall Street Narrative Scraper Specialized data extraction tool designed to capture the "investment stories" and valuation models shared by the Simply Wall Street community. Unlike standard price scrapers, this tool focuses on the qualitative and quantitative reasoning behind a stock's valuation, including revenue growth projections, fair value estimates, and intrinsic discounts. ### FEATURES Valuation Model Extraction: Capture detailed financial assumptions including fairValue, intrinsicDiscount, and discountRate. Narrative Analysis: Scrape the coreTitle and coreExcerpt to understand the specific thesis (e.g., "Full Stack AI Sovereign") behind a stock analysis. Industry Benchmarking: Retrieve industryAverages for PE ratios and revenue growth to compare individual narratives against the broader market. Historical Financial Context: Extract a company's revenueLtmHistory and netIncomeLtmHistory (up to 10 years back) as presented within the narrative. Author & Social Insights: Track the owner credentials (e.g., "Community Contributor"), voteCount, and totalViews to gauge the narrative's authority and reach. Multi-Source Flexibility: Target data based on a specific company ticker, a known user ID, or a specific geographic market (e.g., US, AU, GB). ### USE CASES Sentiment & Thesis Research: Aggregate the most popular "Narratives" for a stock to identify common investment themes or risks identified by the community. Comparative Valuation: Compare your own DCF (Discounted Cash Flow) assumptions against community estimates for revenuePercentageChange and profitMargin. Content Aggregation: Power financial news feeds or investment dashboards with high-quality community-driven stock summaries. Quantitative Backtesting: Correlate community "Fair Value" estimates over time with actual market price movements to identify top-performing analysts. Competitor Intelligence: Monitor industry-wide trends by scraping narratives across an entire primaryIndustry (e.g., Media, Software). ### INPUT Extract narratives from 3 sources: - Stock Ticker - User id - country market ### OUTPUT ```json { "id": "9ac104c3-5cae-4797-85fa-699cf0e49f4e", "type": "USER", "slug": "720axe9a-google-the-worlds-first-full-stack-ai-sovereign-wfmn", "updatedAt": "2026-03-10T02:30:08.236Z", "primaryCount": 13, "commentCount": 0, "totalViews": 406, "isPublic": true, "isSponsored": false, "disclaimerType": "COMMUNITY", "company": { "id": "C78A5A43-0234-4436-88BA-98DC268A5FF2", "tickerSymbol": "GOOGL", "exchangeSymbol": "NasdaqGS", "name": "Alphabet", "primaryIndustry": { "friendlyName": "Media", "industryAverages": [ { "name": "future_revenue_growth_3y", "value": 0.5691972693 }, { "name": "net_income_margin_1y", "value": 0.1060304767 }, { "name": "pe", "value": 17.255088893 } ] }, "data": { "currencyInfo": { "reporting_unit_abs": 1, "reporting_currency_iso": "USD", "trading_item_currency_iso": "USD", "reporting_unit_text": "Millions", "reporting_unit_text_abs": "Absolute", "primary_trading_item_currency_symbol": "$", "reporting_currency_symbol": "$", "reporting_unit": 1000000, "trading_item_currency_symbol": "$", "primary_trading_item_currency_iso": "USD" }, "marketCap": { "shares_outstanding_common_equity": 12115780694, "usd": 4788420539336, "reported": 4788420539336, "market_cap_band": "mega8", "shares_outstanding": 12115780694, "relative_listing_shares_outstanding": 12115.780694, "listing": 4788420539336, "original_market_cap": null, "total_enterprise_value_reported": 4757456.539336, "trading_item_to_primary_ratio": 1, "primary": 4788420539336 } }, "info": { "url": "abc.xyz", "hasLogo": true }, "analysisValue": { "priceTargetAnalystCount": 52, "marketCapUSD": 4788420539336, "costOfEquity": 0.08736843332094227, "pe": 30.006613 }, "canonicalURL": "/stocks/us/media/nasdaq-googl/alphabet", "analysisFuture": { "revenueGrowthAnnual": 0.148474 }, "analysisPast": { "netIncome": 160208, "netIncomeMargin": 0.379192, "revenueGrowth5y": 0.121375, "revenueLtmHistory": { "0": 422498, "-1": 359713, "-2": 318146, "-3": 284612, "-4": 270334, "-5": 196682, "-6": 166677, "-7": 142012, "-8": 117251, "-9": 94765, "-10": 77988 }, "netIncomeLtmHistory": { "0": 160208, "-1": 110996, "-2": 82406, "-3": 58587, "-4": 74539, "-5": 51363, "-6": 34522, "-7": 27992, "-8": 16637, "-9": 20697, "-10": 17040 } }, "analysisMisc": { "sharesOutstandingSingleGrowth1Y": -0.001563 }, "secondaryIndustry": { "industryAverages": [ { "name": "future_revenue_growth_3y", "value": 0.6353862437 }, { "name": "net_income_margin_1y", "value": 0.1315867255 }, { "name": "pe", "value": 19.833046672 } ] }, "timeSeries": [ { "revenue": 69611, "totalSharesOutstanding": 13710.70498, "date": "2015-06-30" }, { "revenue": 71763, "totalSharesOutstanding": 13754.50328, "date": "2015-09-30" }, //truncated for sample ], "canonicalCommunityUrl": "/community/narratives/us/media/nasdaq-googl/alphabet" }, "owner": { "publicId": "ei961k9i", "displayName": "Michael_Dang", "imageUrl": "https://media.simplywall.st/news/1732588370562-suit.png", "role": "Community Contributor", "classification": null, "badges": [] }, "voteCount": { "upvotes": 6 }, "draftUpdate": null, "earliestPublishedUpdate": { "willLockAt": "2026-02-25T12:55:10.141Z", "publishedAt": "2026-02-24T12:51:45.230Z", "id": "5ef26e73-74e9-4055-a248-f0cb2f81f01c" }, "latestPublishedUpdate": { "willLockAt": "2026-02-25T12:55:10.141Z", "publishedAt": "2026-02-24T12:51:45.230Z", "coreExcerpt": "When talking about AI models, people often think of the three core layers to it: The Chip (GPUs) - the hardware layer that allows parallel processing, allowing AI models to perform thousands of mathematical calculations and complex reasoning simultaneously. The Cloud - the infrastructure layer that allows developers to train and deploy the AI model at scale.", "coreTitle": "Google - The world's first \"Full Stack AI Sovereign\"", "valuation": { "fairValue": 340.74, "intrinsicDiscount": -0.164466, "revenuePercentageChange": 16, "profitMarginPercentageChange": 25, "futurePePercentageChange": 28.509454, "timeframe": 5, "discountRate": 8.245915, "sharesOutstandingGrowthRate": -0.003131, "isNoRevenue": false, "isNotProfitable": false, "exchangeRate": 1, "fiscalData": { "mostRecentReportedDate": "2026-02-23", "yearlyTimeSeries": [ { "year": 2026, "data": { "netIncome": 132170000000, "revenue": 402836000000, "endDate": "2026-02-23", "totalSharesOutstanding": 12097000000 } }, { "year": 2025, "data": { "netIncome": 110996000000, "revenue": 359713000000, "endDate": "2025-03-31", "totalSharesOutstanding": 12135000000 } }, //truncated for sample ] }, "type": "user_defined" }, "id": "5ef26e73-74e9-4055-a248-f0cb2f81f01c" }, "isPrimary": false, "companyId": "c78a5a43-0234-4436-88ba-98dc268a5ff2", "createdAt": "2026-02-24T11:41:36.437Z" } ```` ### 🛟 SUPPORT Share your runs with the developer team and create issues on error to help us improve actor quality. You might discover edge case we didn't test yet We stay available anytime # Actor input Schema ## `symbols` (type: `array`): List of stock tickers to get narratives from. ex: NasdaqGS:GOOGL ## `users` (type: `array`): List of Users to get narratives from. On url https://simplywall.st/community/users/ei961k9i user id is ei961k9i ## `markets` (type: `array`): List of markets to get narratives from. On url https://simplywall.st/community/narratives/fr market id is fr ## `markets_sort` (type: `string`): No description ## `max_pages` (type: `integer`): Max pages parsed per input. Empty or 0 = no limit, extracting all ## Actor input object example ```json { "symbols": [ "NasdaqGS:GOOGL" ], "users": [], "markets": [], "max_pages": 1 } ``` # 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 = { "symbols": [ "NasdaqGS:GOOGL" ], "users": [], "markets": [], "max_pages": 1 }; // Run the Actor and wait for it to finish const run = await client.actor("saswave/simply-wall-street-narrative-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 = { "symbols": ["NasdaqGS:GOOGL"], "users": [], "markets": [], "max_pages": 1, } # Run the Actor and wait for it to finish run = client.actor("saswave/simply-wall-street-narrative-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 '{ "symbols": [ "NasdaqGS:GOOGL" ], "users": [], "markets": [], "max_pages": 1 }' | apify call saswave/simply-wall-street-narrative-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=saswave/simply-wall-street-narrative-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Simply Wall Street Narrative Scraper", "description": "Specialized data extraction tool designed to capture the \"investment stories\" and valuation models shared by the Simply Wall Street community. Focus on the qualitative and quantitative reasoning, stock valuation, including revenue growth projections, fair value estimates, and intrinsic discounts.", "version": "0.0", "x-build-id": "Bgd0YWCL6lDP7HDWh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/saswave~simply-wall-street-narrative-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-saswave-simply-wall-street-narrative-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/saswave~simply-wall-street-narrative-scraper/runs": { "post": { "operationId": "runs-sync-saswave-simply-wall-street-narrative-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/saswave~simply-wall-street-narrative-scraper/run-sync": { "post": { "operationId": "run-sync-saswave-simply-wall-street-narrative-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": { "symbols": { "title": "Stock Tickers", "type": "array", "description": "List of stock tickers to get narratives from. ex: NasdaqGS:GOOGL", "items": { "type": "string" } }, "users": { "title": "Users", "type": "array", "description": "List of Users to get narratives from. On url https://simplywall.st/community/users/ei961k9i user id is ei961k9i", "items": { "type": "string" } }, "markets": { "title": "Markets", "type": "array", "description": "List of markets to get narratives from. On url https://simplywall.st/community/narratives/fr market id is fr", "items": { "type": "string" } }, "markets_sort": { "title": "Market Sort", "enum": [ "popular", "undervalued", "overvalued" ], "type": "string", "description": "" }, "max_pages": { "title": "Max Pages", "minimum": 0, "type": "integer", "description": "Max pages parsed per input. Empty or 0 = no limit, extracting all" } } }, "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 } } } } } } } } } } ```