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Simply Wall Street Narrative Scraper

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Simply Wall Street Narrative Scraper

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. Focus on the qualitative and quantitative reasoning, stock valuation, including revenue growth projections, fair value estimates, and intrinsic discounts.

Pricing

from $2.00 / 1,000 results

Rating

0.0

(0)

Developer

SASWAVE

SASWAVE

Maintained by Community

Actor stats

1

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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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

{
"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"
}

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