# 🇧🇷 B3 Brasil Stock Screener — Bovespa Quotes & Fundamentals (`nexgendata/b3-brasil-stock-screener`) Actor B3 / Bovespa Brazilian stock screener API — Ibovespa live quotes, market cap (BRL), P/E, P/B, dividend yield, ROE, sector. Petrobras, Vale, Itaú, Ambev universe. Bloomberg Terminal / FactSet / Refinitiv Eikon LATAM equity-data alternative for hedge funds & quants. Pay-per-result. - **URL**: https://apify.com/nexgendata/b3-brasil-stock-screener.md - **Developed by:** [Stephan Corbeil](https://apify.com/nexgendata) (community) - **Categories:** Business, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $250.00 / 1,000 b3 stock records 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.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 ## 🇧🇷 B3 Brasil Stock Screener — Bovespa Quotes & Fundamentals A **Bloomberg Terminal alternative for Brazilian equities**, packaged as a single Apify actor. Pull every stock listed on **B3 (Brasil, Bolsa, Balcão)** — Brazil's only stock exchange, formerly known as **Bovespa** — with prices in BRL, P/L (P/E), P/VP (P/B), dividend yield, ROE, ROIC, EV/EBITDA, net debt to equity, 5-year revenue growth, and 2-month average traded value (liquidity proxy). One run returns the entire B3 universe of roughly 700–900 papers (common stocks ON, preferred shares PN/PNA/PNB, units, BDRs) ready to drop into your value-screen, dividend-strategy, or quant pipeline. Run a single API call. Get clean JSON. Push it into Snowflake, Databricks, BigQuery, your local Postgres, or a Google Sheet. No browser, no Selenium, no JavaScript rendering — just one HTTP fetch against a server-rendered page, parsed with BeautifulSoup, sorted by liquidity, and returned as a flat list of stock objects. --- ### Why this actor exists Brazilian retail investors and quant funds run into the same wall foreign-market screeners face: every commercial provider (Economática, ProfitChart, Status Invest Premium, TradingView Pro) charges R$ 50–500/month for what is, fundamentally, public data published by listed companies and aggregated by free Brazilian sites. If you need a programmatic feed — even just for a Sunday-night dividend report or a backtest of an Ibovespa value strategy — you are paying for human-friendly UIs you don't use. This actor replaces that subscription with a **per-record Apify charge of $0.02 per stock**. A full 100-stock pull (the entire Ibovespa-tradeable universe sorted by liquidity) costs $2.005 — roughly **R$ 10**. A monthly auto-refresh of the same universe costs about $24/year. Compare to R$ 50/month × 12 = R$ 600 for any commercial Brazilian quote provider. --- ### Quick start #### Run from the Apify UI 1. Click **Try this actor**. 2. Leave the inputs at defaults (`limit: 100`) for the most-liquid 100 B3 stocks sorted by 2-month average traded value. 3. Click **Run**. The actor returns in 5–10 seconds (one HTTP call to Fundamentus + parse + filter + push). 4. Browse the dataset in the **Storage** tab, or export as CSV / JSON / Excel from the **Output** tab. #### Run from the API (cURL) ```bash curl -X POST "https://api.apify.com/v2/acts/nexgendata~b3-brasil-stock-screener/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"limit": 50, "min_dividend_yield": 6}' ```` #### Run from Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("nexgendata/b3-brasil-stock-screener").call(run_input={ "limit": 200, "min_liquidity_2m_brl": 1_000_000, ## at least 1M BRL/day traded "min_dividend_yield": 5, ## at least 5% trailing yield "max_pe_ratio": 15, ## cheap on earnings }) for stock in client.dataset(run["defaultDatasetId"]).iterate_items(): print(stock["symbol"], stock["company_name_pt"], stock["price_brl"], stock["dividend_yield_pct"]) ``` *** ### Output schema Every stock object includes the following fields (BRL = Brazilian Real, percentages are unit-less floats — `8.31` means 8.31%): | Field | Type | Description | |---|---|---| | `symbol` | string | B3 ticker, e.g. `PETR4`, `VALE3`, `ITUB4`, `BBDC4`. | | `yahoo_symbol` | string | Yahoo Finance form: `PETR4.SA`. | | `company_name_pt` | string | Full Brazilian-Portuguese corporate name (e.g. `PETROLEO BRASILEIRO S.A. - PETROBRAS`). | | `root_ticker` | string | Ticker with class digits stripped (e.g. `PETR4` → `PETR`). | | `share_class` | string | `ON (Ordinária / common, voting)`, `PN (Preferencial / preferred)`, `PNA`, `PNB`, `UNT`, etc., inferred from suffix digit. | | `market` | string | Always `B3`. | | `exchange_full_name` | string | `Brasil, Bolsa, Balcão (Bovespa)`. | | `country` | string | `Brazil`. | | `currency` | string | `BRL`. | | `price_brl` | number | Last closing price in BRL. | | `pe_ratio` | number | P/L (Preço/Lucro). | | `pvp_ratio` | number | P/VP (Preço/Valor Patrimonial = P/B). | | `psr` | number | Price / Sales. | | `dividend_yield_pct` | number | Trailing 12-month dividend yield, in percent. | | `p_ativo` | number | Price / Total Assets. | | `p_cap_giro` | number | Price / Working Capital. | | `p_ebit` | number | Price / EBIT. | | `p_ativ_circ_liq` | number | Price / Net Current Asset Value (Graham metric). | | `ev_ebit` | number | Enterprise Value / EBIT. | | `ev_ebitda` | number | Enterprise Value / EBITDA. | | `gross_margin_pct` | number | Gross margin, in percent. | | `ebit_margin_pct` | number | EBIT margin, in percent. | | `net_margin_pct` | number | Net (líquida) margin, in percent. | | `current_ratio` | number | Liquidez Corrente. | | `roic_pct` | number | Return on Invested Capital, in percent. | | `roe_pct` | number | Return on Equity, in percent. | | `liquidity_2m_brl` | number | 2-month average daily traded value, in BRL. | | `book_equity_brl` | number | Patrimônio Líquido (book equity), in BRL. | | `net_debt_to_equity` | number | Dívida Líquida / Patrimônio Líquido. | | `revenue_growth_5y_pct` | number | 5-year revenue CAGR, in percent. | | `fundamentus_url` | string | Direct link to the Fundamentus detail page. | | `b3_url` | string | Direct link to the official B3 listed-company page. | | `yahoo_finance_url` | string | Direct link to Yahoo Finance quote page. | | `scraped_at` | string | ISO-8601 UTC timestamp of the fetch. | *** ### Input filters | Field | Type | Default | What it does | |---|---|---|---| | `limit` | integer | 100 | Maximum stocks returned, sorted by 2-month liquidity desc. | | `min_market_cap_brl` | integer | 0 | Filter by patrimônio líquido (book equity, BRL) — proxy for size. | | `min_liquidity_2m_brl` | integer | 0 | Filter by 2-month avg daily traded value (BRL). 1M+ = tradeable, 10M+ = institutional. | | `max_pe_ratio` | number | 0 | Cap on P/L (P/E). Set 15 for Graham-style value screen. 0 disables. | | `max_pvp_ratio` | number | 0 | Cap on P/VP (P/B). Set 1 for "below book" screen. 0 disables. | | `min_dividend_yield` | number | 0 | Floor on trailing dividend yield, in %. Brazilian utilities/banks routinely yield 8–15%. | | `min_roe_pct` | number | 0 | Floor on Return on Equity, in %. Set 15 for quality screen. | | `sector` | string | `""` | Substring filter against ticker + company name. e.g. `BANCO`, `PETR`, `VALE`. | | `proxyConfiguration` | object | Apify Proxy ON | Datacenter is fine for Fundamentus. RESIDENTIAL only if you hit a rate limit. | *** ### How B3 ticker conventions work If you've never traded Brazilian equities, the suffix digits encode share class: - **`3`** — ON, *ordinária*: voting common stock (e.g. `VALE3`, `PETR3`, `BBAS3`). - **`4`** — PN, *preferencial*: preferred non-voting, usually higher dividend (e.g. `PETR4`, `ITUB4`, `BBDC4`). - **`5` / `6` / `7` / `8`** — Preferred classes A/B/C/D. - **`11`** — Unit (a basket of ON+PN trading as one paper, e.g. `SANB11`, `TAEE11`) or BDR (Brazilian Depositary Receipt of a foreign listing). Petrobras has both `PETR3` (voting) and `PETR4` (preferred); most Brazilian dividend strategies favor `PETR4` for the higher payout. The actor returns both. *** ### Data source The actor fetches a single server-rendered HTML page from **[Fundamentus.com.br](https://www.fundamentus.com.br/resultado.php)**, a long-running independent Brazilian fundamentals aggregator. Fundamentus pulls quarterly filings (DFP / ITR) directly from CVM (Brazil's SEC) and computes ratios on its servers — meaning the data is the same as what shows up in Economática and other commercial terminals, just a few hours later. Prices are end-of-day (last close, not real-time intraday). For real-time intraday quotes you would need a paid B3 market-data feed; for fundamentals + close-of-day prices (the inputs to virtually every value, dividend, and quality strategy), Fundamentus is the canonical free source. *** ### Common use cases - **Brazilian dividend portfolio** — `min_dividend_yield: 8, min_liquidity_2m_brl: 5_000_000` returns the high-yield subset of tradeable B3 stocks. - **Magic Formula Brasil** — pull all stocks, sort offline by `(roic_pct desc, ev_ebit asc)` after filtering `liquidity_2m_brl > 1_000_000`. - **Graham deep-value screen** — `max_pvp_ratio: 1, max_pe_ratio: 10, min_roe_pct: 5` — classic margin-of-safety filter. - **Sector backtest** — `sector: "BANCO"` returns every Brazilian bank (Itaú, Bradesco, Santander Brasil, Banco do Brasil, Banrisul, ABC Brasil…). - **Daily ETL job** — schedule a 1× / day run with `limit: 500` and stream the dataset into your warehouse for time-series tracking. *** ### Cost Pay-per-event pricing: - **$0.005** per actor start. - **$0.02** per stock returned. A 10-stock smoke test = $0.205. A 100-stock daily refresh = $2.005 (~R$ 10 at current USD/BRL). 100 stocks × 30 days/month = $60.15/month, **versus R$ 50–500/month for a commercial Brazilian terminal**. *** ### Sister actors in the NexGenData fleet If you're screening Brazilian equities, you probably want global coverage too: - 🇨🇳 [Eastmoney China A-Share Screener](https://apify.com/nexgendata/eastmoney) — Shanghai + Shenzhen + STAR, full A-share fundamentals. - 🇺🇸 [Finviz Stock Screener](https://apify.com/nexgendata/finviz-stock-screener) — US equities with 70+ filter combinations. - 🌍 [Finance MCP Server](https://apify.com/nexgendata/finance-mcp-server) — drop-in Model Context Protocol server that exposes all our finance actors to Claude Desktop, Cursor, and other MCP-aware LLM clients. - 🇹🇼 [TWSE Stock Screener](https://apify.com/nexgendata/twse-stock-screener) — Taiwan Stock Exchange fundamentals. - 🇰🇷 [KOSPI Stock Screener](https://apify.com/nexgendata/kospi-stock-screener) — Korea Composite Stock Price Index fundamentals. *** ### About NexGenData NexGenData ships ~50 specialized data actors on Apify covering global equities, real estate, jobs, contact discovery, SEO, and SaaS-stack mapping. Every actor is built on the same playbook: find a public-but-painful-to-extract data source, wrap one HTTP call in clean JSON, charge per record. No subscriptions, no minimums, transparent pricing. If you want to build with the same toolkit, [Apify offers a generous free tier and our affiliate link gives you bonus credits → https://apify.com/nexgendata?fpr=2ayu9b](https://apify.com/nexgendata?fpr=2ayu9b) # Actor input Schema ## `limit` (type: `integer`): Maximum number of B3 (Brasil, Bolsa, Balcão / Bovespa) listed stocks to return. The Brazilian exchange has roughly 400-450 listed common stocks plus preferred shares (PETR4, VALE3, ITUB4, BBDC4, etc.). Use 10 for a smoke test, 100 for the most-liquid Ibovespa universe, or 500 to pull every listed paper. Records are returned sorted by 2-month liquidity (Liq.2meses) descending — a good proxy for tradeable mid-large caps. ## `min_market_cap_brl` (type: `integer`): Filter to stocks with patrimônio líquido (book equity, in BRL) at or above this threshold. Used as a market-cap proxy from Fundamentus. Examples: 1000000000 = 1bn BRL (mid-cap floor), 10000000000 = 10bn BRL (large-cap, Ibovespa-heavy). Leave at 0 for no filter. ## `min_liquidity_2m_brl` (type: `integer`): Filter to stocks with Liq.2meses (mean daily traded value over the last 2 months in BRL) at or above this threshold. Excellent for excluding illiquid micro-caps. Examples: 1000000 = 1M BRL/day (tradeable), 10000000 = 10M BRL/day (institutional-grade). Leave at 0 for no filter. ## `max_pe_ratio` (type: `number`): Filter to stocks with P/L (Preço/Lucro, P/E) at or below this value (value-investor screen). Examples: 8 = deep value typical of Brazilian banks/utilities, 15 = classic Graham value, 25 = GARP. Stocks with no reported earnings (P/L = 0 in Fundamentus) are excluded when this filter is set. Leave at 0 to disable. ## `max_pvp_ratio` (type: `number`): Filter to stocks with P/VP (Preço/Valor Patrimonial, P/B) at or below this value. Brazilian banks often trade at 0.8-1.5 P/VP. Examples: 1 = trading below book, 2 = reasonable. Leave at 0 to disable. ## `min_dividend_yield` (type: `number`): Filter to stocks with trailing dividend yield at or above this value (in percent). Brazil is famous for its high-yield equity culture — utilities (TAEE11, ENBR3), banks (ITSA4, BBAS3), and oil (PETR4) routinely yield 8-15%. Examples: 5 = solid income, 10 = top-decile dividend payer. Leave at 0 for no filter. ## `min_roe_pct` (type: `number`): Filter to stocks with Return on Equity at or above this value (in percent). Quality-investor screen. Examples: 15 = good quality, 20 = top-tier (Itaú, WEG, Localiza historically). Leave at 0 for no filter. ## `sector` (type: `string`): Optional case-insensitive substring filter applied to the ticker (Papel) and company name. Examples: 'PETR' (Petrobras family — PETR3/PETR4), 'BANCO' (banks), 'VALE', 'ITAU', 'ENERGIA', 'BBDC'. Leave blank for no filter. B3 ticker conventions: digit 3 = ON (ordinary/voting), digit 4 = PN (preferred), 5/6 = preferred classes, 11 = unit/BDR. ## `proxyConfiguration` (type: `object`): Apify proxy configuration. Fundamentus.com.br is a public Brazilian server-rendered site and accepts datacenter proxies fine. Switch to RESIDENTIAL only if you hit rate limits. ## Actor input object example ```json { "limit": 100, "min_market_cap_brl": 0, "min_liquidity_2m_brl": 0, "max_pe_ratio": 0, "max_pvp_ratio": 0, "min_dividend_yield": 0, "min_roe_pct": 0, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "limit": 100, "min_market_cap_brl": 0, "min_liquidity_2m_brl": 0, "max_pe_ratio": 0, "max_pvp_ratio": 0, "min_dividend_yield": 0, "min_roe_pct": 0, "sector": "", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/b3-brasil-stock-screener").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 = { "limit": 100, "min_market_cap_brl": 0, "min_liquidity_2m_brl": 0, "max_pe_ratio": 0, "max_pvp_ratio": 0, "min_dividend_yield": 0, "min_roe_pct": 0, "sector": "", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/b3-brasil-stock-screener").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 '{ "limit": 100, "min_market_cap_brl": 0, "min_liquidity_2m_brl": 0, "max_pe_ratio": 0, "max_pvp_ratio": 0, "min_dividend_yield": 0, "min_roe_pct": 0, "sector": "", "proxyConfiguration": { "useApifyProxy": true } }' | apify call nexgendata/b3-brasil-stock-screener --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/b3-brasil-stock-screener", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🇧🇷 B3 Brasil Stock Screener — Bovespa Quotes & Fundamentals", "description": "B3 / Bovespa Brazilian stock screener API — Ibovespa live quotes, market cap (BRL), P/E, P/B, dividend yield, ROE, sector. Petrobras, Vale, Itaú, Ambev universe. Bloomberg Terminal / FactSet / Refinitiv Eikon LATAM equity-data alternative for hedge funds & quants. Pay-per-result.", "version": "0.0", "x-build-id": "rGa63t5eW6mWCVZNu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~b3-brasil-stock-screener/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-b3-brasil-stock-screener", "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/nexgendata~b3-brasil-stock-screener/runs": { "post": { "operationId": "runs-sync-nexgendata-b3-brasil-stock-screener", "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/nexgendata~b3-brasil-stock-screener/run-sync": { "post": { "operationId": "run-sync-nexgendata-b3-brasil-stock-screener", "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": { "limit": { "title": "Limit", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of B3 (Brasil, Bolsa, Balcão / Bovespa) listed stocks to return. The Brazilian exchange has roughly 400-450 listed common stocks plus preferred shares (PETR4, VALE3, ITUB4, BBDC4, etc.). Use 10 for a smoke test, 100 for the most-liquid Ibovespa universe, or 500 to pull every listed paper. Records are returned sorted by 2-month liquidity (Liq.2meses) descending — a good proxy for tradeable mid-large caps.", "default": 100 }, "min_market_cap_brl": { "title": "Min market cap / patrimônio líquido (BRL)", "minimum": 0, "maximum": 10000000000000, "type": "integer", "description": "Filter to stocks with patrimônio líquido (book equity, in BRL) at or above this threshold. Used as a market-cap proxy from Fundamentus. Examples: 1000000000 = 1bn BRL (mid-cap floor), 10000000000 = 10bn BRL (large-cap, Ibovespa-heavy). Leave at 0 for no filter.", "default": 0 }, "min_liquidity_2m_brl": { "title": "Min 2-month avg volume (BRL)", "minimum": 0, "maximum": 100000000000, "type": "integer", "description": "Filter to stocks with Liq.2meses (mean daily traded value over the last 2 months in BRL) at or above this threshold. Excellent for excluding illiquid micro-caps. Examples: 1000000 = 1M BRL/day (tradeable), 10000000 = 10M BRL/day (institutional-grade). Leave at 0 for no filter.", "default": 0 }, "max_pe_ratio": { "title": "Max P/L (P/E) ratio", "minimum": 0, "maximum": 1000, "type": "number", "description": "Filter to stocks with P/L (Preço/Lucro, P/E) at or below this value (value-investor screen). Examples: 8 = deep value typical of Brazilian banks/utilities, 15 = classic Graham value, 25 = GARP. Stocks with no reported earnings (P/L = 0 in Fundamentus) are excluded when this filter is set. Leave at 0 to disable.", "default": 0 }, "max_pvp_ratio": { "title": "Max P/VP (P/B) ratio", "minimum": 0, "maximum": 1000, "type": "number", "description": "Filter to stocks with P/VP (Preço/Valor Patrimonial, P/B) at or below this value. Brazilian banks often trade at 0.8-1.5 P/VP. Examples: 1 = trading below book, 2 = reasonable. Leave at 0 to disable.", "default": 0 }, "min_dividend_yield": { "title": "Min dividend yield (%)", "minimum": 0, "maximum": 100, "type": "number", "description": "Filter to stocks with trailing dividend yield at or above this value (in percent). Brazil is famous for its high-yield equity culture — utilities (TAEE11, ENBR3), banks (ITSA4, BBAS3), and oil (PETR4) routinely yield 8-15%. Examples: 5 = solid income, 10 = top-decile dividend payer. Leave at 0 for no filter.", "default": 0 }, "min_roe_pct": { "title": "Min ROE (%)", "minimum": 0, "maximum": 1000, "type": "number", "description": "Filter to stocks with Return on Equity at or above this value (in percent). Quality-investor screen. Examples: 15 = good quality, 20 = top-tier (Itaú, WEG, Localiza historically). Leave at 0 for no filter.", "default": 0 }, "sector": { "title": "Ticker / company name keyword", "type": "string", "description": "Optional case-insensitive substring filter applied to the ticker (Papel) and company name. Examples: 'PETR' (Petrobras family — PETR3/PETR4), 'BANCO' (banks), 'VALE', 'ITAU', 'ENERGIA', 'BBDC'. Leave blank for no filter. B3 ticker conventions: digit 3 = ON (ordinary/voting), digit 4 = PN (preferred), 5/6 = preferred classes, 11 = unit/BDR." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy configuration. Fundamentus.com.br is a public Brazilian server-rendered site and accepts datacenter proxies fine. Switch to RESIDENTIAL only if you hit rate limits.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```