# Fortune Rankings Scraper (`crawlerbros/fortune-rankings-scraper`) Actor Scrape Fortune rankings - Fortune 500, Global 500, Most Powerful Women, Future 50, Fastest Growing, Most Admired, and more - with full financial and company metadata. - **URL**: https://apify.com/crawlerbros/fortune-rankings-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools, Integrations - **Stats:** 3 total users, 1 monthly users, 70.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Fortune Rankings Scraper Scrape Fortune magazine ranking lists — **Fortune 500**, **Global 500**, **Most Powerful Women**, **100 Fastest-Growing Companies**, **World's Most Admired Companies**, **Future 50**, **Change the World**, and more — with full financial metadata including revenues, profits, assets, market value, sector, location, and employees. --- ### What it does - Fetches Fortune ranking list data from the official Fortune Next.js static JSON API - Supports 9 pre-configured lists plus a custom slug mode for any Fortune ranking URL - Returns flat, omit-empty records with rank, profile URL, and all available financial/demographic metadata - No browser required — pure HTTP, Tier 1 --- ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | Select | Which Fortune list to scrape (default: `fortune500`) | | `listYear` | Integer | Year of the list (1996–2026, optional — defaults to latest) | | `listSlug` | String | Fortune ranking URL slug for `bySlug` mode (e.g. `fortune500`) | | `sector` | String | Filter: keep only records where sector/industry contains this text | | `country` | String | Filter: keep only records from this country (exact match, e.g. `U.S.`) | | `maxItems` | Integer | Max records to emit (1–5000, default: 100) | #### Available Modes | Mode | List | |------|------| | `fortune500` | Fortune 500 — America's Largest Companies (500 records) | | `global500` | Fortune Global 500 — World's Largest Companies | | `mostPowerfulWomen` | Fortune Most Powerful Women | | `fastestGrowing` | Fortune 100 Fastest-Growing Companies | | `futureOfWork` | Fortune Future of Work / Best Workplaces | | `mostAdmired` | World's Most Admired Companies | | `changeTheWorld` | Fortune Change the World | | `mostInnovative` | America's Most Innovative Companies | | `future50` | Fortune Future 50 | | `bySlug` | Any Fortune ranking list by URL slug | --- ### Output #### Company records (`fortune500`, `global500`, `mostAdmired`, `fastestGrowing`, `future50`, etc.) | Field | Description | |-------|-------------| | `rank` | List rank | | `name` | Company name | | `profileUrl` | Fortune company profile URL | | `revenues` | Revenue (numeric) | | `revenuesUnit` | `B` (billions) or `M` (millions) | | `profits` | Net profit (numeric) | | `profitsUnit` | `B` (billions) or `M` (millions) | | `assets` | Total assets (numeric) | | `assetsUnit` | `B` (billions) or `M` (millions) | | `marketValue` | Market capitalization (numeric) | | `marketValueUnit` | `B` (billions) or `M` (millions) | | `revenueGrowthPct` | Revenue growth % | | `profitsGrowthPct` | Profit growth % | | `epsGrowthPct` | EPS 3-year annual growth rate % | | `totalReturn3yr` | Total return 3-year annual rate % | | `overallScore` | Overall score (Future 50 / Most Innovative) | | `industryRank` | Rank within industry (Most Admired Companies) | | `allStarRank` | Current cross-industry "All-Star" rank (Most Admired Companies) | | `strongestDimension` | Company's strongest scored dimension (Most Innovative Companies) | | `sector` | Industry sector | | `industry` | Industry sub-category | | `city` | Headquarters city | | `state` | Headquarters state | | `country` | Country of headquarters | | `employees` | Employee count | | `profitable` | `true` if profitable | | `founderIsCeo` | `true` if founder is CEO | | `femaleCeo` | `true` if CEO is female | | `growthInJobs` | `true` if jobs grew | | `newcomer` | `true` if newcomer to the list | | `inGlobal500` | `true` if also on Global 500 | | `inFortune500` | `true` if also on Fortune 500 | | `inFortune1000` | `true` if also on Fortune 1000 | | `inMostAdmired` | `true` if also in Most Admired | | `inBestCompanies` | `true` if also on Best Companies to Work For | | `inFastestGrowing` | `true` if also on 100 Fastest-Growing Companies | | `inChangeTheWorld` | `true` if also on Change the World | | `inFuture50` | `true` if also on the Future 50 | | `beatSP500_3yr` | `true` if the company beat the S&P 500's 3-year return (Fastest-Growing Companies) | | `changeInRank` | Change in rank from previous year | | `fortune500Rank` | Fortune 500 rank (for cross-list records) | | `impactSegment` | Impact category (Change the World list) | | `listName` | Fortune list identifier | | `listYear` | Year of the list | | `sourceUrl` | Fortune list URL | | `scrapedAt` | ISO timestamp | | `recordType` | `company` | #### Person records (`mostPowerfulWomen`) | Field | Description | |-------|-------------| | `rank` | List rank | | `name` | Full name | | `profileUrl` | Fortune profile URL | | `affiliation` | Company / organization | | `country` | Country | | `listName` | Fortune list identifier | | `listYear` | Year of the list | | `sourceUrl` | Fortune list URL | | `scrapedAt` | ISO timestamp | | `recordType` | `person` | --- ### Example: Top 20 Fortune 500 Companies ```json { "mode": "fortune500", "listYear": 2025, "maxItems": 20 } ```` **Sample output:** ```json { "rank": 1, "name": "Walmart", "profileUrl": "https://fortune.com/company/walmart/", "revenues": 680.985, "revenuesUnit": "B", "profits": 19.436, "profitsUnit": "B", "assets": 260.823, "assetsUnit": "B", "marketValue": 703.799, "marketValueUnit": "B", "revenueGrowthPct": 5.1, "profitsGrowthPct": 25.3, "sector": "Retailing", "industry": "General Merchandisers", "city": "Bentonville", "state": "Arkansas", "employees": 2100000, "profitable": true, "inGlobal500": true, "inMostAdmired": true, "inBestCompanies": true, "inChangeTheWorld": true, "listName": "fortune500", "listYear": 2025, "sourceUrl": "https://fortune.com/ranking/fortune500/2025/", "scrapedAt": "2026-06-30T10:30:00+00:00", "recordType": "company" } ``` *** ### Example: Most Powerful Women 2026 ```json { "mode": "mostPowerfulWomen", "listYear": 2026, "maxItems": 50 } ``` **Sample output:** ```json { "rank": 1, "name": "Jane Fraser", "profileUrl": "https://fortune.com/ranking/most-powerful-women/2026/jane-fraser/", "affiliation": "Citigroup", "country": "U.S.", "listName": "mostPowerfulWomen", "listYear": 2026, "sourceUrl": "https://fortune.com/ranking/most-powerful-women/", "scrapedAt": "2026-01-15T10:30:00+00:00", "recordType": "person" } ``` *** ### FAQs **Q: Does it require an API key or login?** A: No. Fortune ranking data is publicly accessible via their static JSON API. **Q: How many records can I get?** A: Fortune 500 returns up to 500 companies. Global 500 has 500. Most Powerful Women has 100. Set `maxItems` up to 5000. **Q: Can I filter by sector or country?** A: Yes — use `sector` (substring match, e.g. "Technology") and `country` (exact match, e.g. "U.S."). **Q: What years are supported?** A: Fortune 500 has data back to 1996. Other lists vary. If a specific year has no data, the latest available year is used. **Q: Can I scrape any Fortune ranking list?** A: Yes — use `mode=bySlug` and set `listSlug` to the Fortune URL slug, i.e. the part of the ranking's URL after `fortune.com/ranking/` (e.g. `ai-innovators`, `cyber`, `lgbtq-leaders`, `most-powerful-rising-executives`). **Q: Why are revenues in billions sometimes and millions other times?** A: Values ≥ $1 billion show `Unit=B` with a billions value. Smaller values show `Unit=M` with a millions value. This makes both large and small companies easy to work with. **Q: Are negative profits included?** A: Yes — loss-making companies show negative `profits` values. # Actor input Schema ## `mode` (type: `string`): Which Fortune ranking list to scrape. ## `listYear` (type: `integer`): Year of the ranking list (e.g. 2025). Defaults to the latest available year. ## `listSlug` (type: `string`): Fortune ranking URL slug for Custom mode (e.g. 'fortune500', 'global500', 'most-powerful-women'). Required when mode=bySlug. ## `sector` (type: `string`): Keep only records from this sector (case-insensitive substring, e.g. 'Technology'). ## `country` (type: `string`): Keep only records from this country (case-insensitive equality, e.g. 'U.S.'). ## `maxItems` (type: `integer`): Maximum number of records to return (1–5000). ## Actor input object example ```json { "mode": "fortune500", "listYear": 2025, "maxItems": 100 } ``` # Actor output Schema ## `fortuneRecords` (type: `string`): Dataset containing all scraped Fortune ranking records. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "mode": "fortune500", "listYear": 2025, "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/fortune-rankings-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "mode": "fortune500", "listYear": 2025, "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/fortune-rankings-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 '{ "mode": "fortune500", "listYear": 2025, "maxItems": 100 }' | apify call crawlerbros/fortune-rankings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/fortune-rankings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Fortune Rankings Scraper", "description": "Scrape Fortune rankings - Fortune 500, Global 500, Most Powerful Women, Future 50, Fastest Growing, Most Admired, and more - with full financial and company metadata.", "version": "1.0", "x-build-id": "GIhV8xgVcgLhgE2JF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~fortune-rankings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-fortune-rankings-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~fortune-rankings-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-fortune-rankings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~fortune-rankings-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-fortune-rankings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Ranking List", "enum": [ "fortune500", "global500", "mostPowerfulWomen", "fastestGrowing", "futureOfWork", "mostAdmired", "changeTheWorld", "mostInnovative", "future50", "bySlug" ], "type": "string", "description": "Which Fortune ranking list to scrape.", "default": "fortune500" }, "listYear": { "title": "List Year", "minimum": 1996, "maximum": 2026, "type": "integer", "description": "Year of the ranking list (e.g. 2025). Defaults to the latest available year." }, "listSlug": { "title": "Custom List Slug", "type": "string", "description": "Fortune ranking URL slug for Custom mode (e.g. 'fortune500', 'global500', 'most-powerful-women'). Required when mode=bySlug." }, "sector": { "title": "Filter: Sector", "type": "string", "description": "Keep only records from this sector (case-insensitive substring, e.g. 'Technology')." }, "country": { "title": "Filter: Country", "type": "string", "description": "Keep only records from this country (case-insensitive equality, e.g. 'U.S.')." }, "maxItems": { "title": "Max Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of records to return (1–5000).", "default": 100 } } }, "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 } } } } } } } } } } ```