# Yahoo Finance Scraper — Live Quotes & Stock History (`bovi/yahoo-finance-scraper`) Actor Scrape live stock quotes and historical OHLCV price data from Yahoo Finance. Supports stocks, ETFs, crypto, indices, and forex. Two modes: quote (real-time price snapshot for up to 100 symbols) and history (OHLCV bars with adjustable interval and range). No API key required. Pay per result. - **URL**: https://apify.com/bovi/yahoo-finance-scraper.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Business, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.86 / 1,000 live stock quotes 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 ## Yahoo Finance Scraper — Stocks, ETFs & Crypto | No API Key | from $1.50/1K For quant analysts, portfolio trackers, and AI agents that need structured stock and crypto price data — without a $599/year Bloomberg terminal or a $25/month Yahoo Finance API subscription. **No API key required.** No Yahoo Finance account. **$1.50/1,000 quote snapshots** · **$0.50/1,000 OHLCV bars** (Pay Per Event). Every record includes `parse_confidence` (0.0–1.0) and `warnings`. Symbols that fail to resolve are not charged. Scrape **live stock quotes** and **historical OHLCV price data** from Yahoo Finance — stocks, ETFs, cryptocurrencies, market indices, and forex pairs, all in one actor. No API key, no authentication, no proxy required. Two modes cover the full financial data workflow: real-time snapshots and bar-level history for any date range. **Pay per result.** Whether you need the current price of AAPL, 10 years of daily BTC-USD closes, or a 1-minute intraday chart for SPY, this actor delivers clean structured records at **$1.50 per 1,000 results**. --- ### What data you get from Yahoo Finance #### Quote mode — real-time price snapshot One record per symbol with: - `regular_price`, `prev_close`, `open`, `day_high`, `day_low` - `volume`, `market_cap`, `price_change_pct` - `fifty_two_week_high`, `fifty_two_week_low` - `trailing_pe`, `forward_pe`, `dividend_yield` - `market_state` — REGULAR / PRE / POST / CLOSED - `quote_type` — EQUITY / CRYPTOCURRENCY / INDEX / ETF - `name`, `symbol`, `currency`, `exchange` - `timestamp` — ISO 8601 UTC quote time #### History mode — OHLCV bars One record per bar with: - `date` (YYYY-MM-DD for daily bars; ISO timestamp for intraday) - `open`, `high`, `low`, `close`, `adj_close` (split/dividend adjusted), `volume` - `symbol`, `currency`, `mode` All records include `parse_confidence` (0.0–1.0) and `warnings`. --- ### Supported symbol types | Type | Examples | |---|---| | US equities | AAPL, MSFT, GOOGL, TSLA, NVDA | | ETFs | SPY, QQQ, VTI, GLD, TLT | | Crypto | BTC-USD, ETH-USD, SOL-USD, BNB-USD | | Indices | ^GSPC (S&P 500), ^DJI (Dow), ^IXIC (Nasdaq) | | Forex | EURUSD=X, GBPUSD=X, USDJPY=X | | International | ASML.AS, 7203.T, BABA | --- ### How to use #### Get live quotes for multiple symbols ```json { "mode": "quote", "symbols": ["AAPL", "MSFT", "GOOGL", "BTC-USD", "^GSPC"] } ```` #### Get 1-year daily OHLCV history ```json { "mode": "history", "symbols": ["AAPL", "TSLA"], "range": "1y", "interval": "1d" } ``` #### Get max historical daily closes for crypto ```json { "mode": "history", "symbols": ["BTC-USD", "ETH-USD"], "range": "max", "interval": "1d" } ``` #### Intraday 5-minute bars (last 60 days) ```json { "mode": "history", "symbols": ["SPY", "QQQ"], "range": "60d", "interval": "5m" } ``` *** ### Input parameters | Field | Type | Default | Description | |---|---|---|---| | `mode` | string | `quote` | `quote` or `history` | | `symbols` | string\[] | required | Ticker symbols (e.g. `["AAPL", "BTC-USD", "^GSPC"]`) | | `range` | string | `1y` | History range: `1d`, `5d`, `1mo`, `3mo`, `6mo`, `1y`, `2y`, `5y`, `10y`, `ytd`, `max` | | `interval` | string | `1d` | Bar interval: `1m`, `2m`, `5m`, `15m`, `30m`, `60m`, `90m`, `1h`, `1d`, `1wk`, `1mo` | *** ### Interval / range compatibility | Interval | Max range | |---|---| | 1m | last 7 days only | | 2m–90m | last 60 days | | 1h | last 730 days | | 1d, 1wk, 1mo | max (full history) | *** ### Output schema | Field | Type | Mode | |---|---|---| | `symbol` | string | both | | `name` | string | quote | | `quote_type` | string | quote | | `currency` | string | both | | `exchange` | string | both | | `regular_price` | float | quote | | `prev_close` | float | quote | | `open` | float | both | | `day_high` / `day_low` | float | both | | `volume` | integer | both | | `market_cap` | float | quote | | `price_change_pct` | float | quote | | `fifty_two_week_high` / `low` | float | quote | | `trailing_pe` / `forward_pe` | float | quote | | `dividend_yield` | float | quote | | `market_state` | string | quote | | `timestamp` | string | quote | | `date` | string | history | | `close` | float | history | | `adj_close` | float | history | | `mode` | string | both | | `scraped_at` | string | both | | `parse_confidence` | float | both | | `warnings` | array | both | *** ### Why this beats competitors | Data source | Cost | Coverage | Requires account? | |---|---|---|---| | **This actor** | $1.50/1K quotes, $0.50/1K bars | stocks, ETFs, crypto, forex, indices | No | | Yahoo Finance API (official) | $25–599/mo | same | Yes + billing | | Polygon.io | $29–199/mo | US equities only | Yes | | Finnhub | $0/mo free tier (limited) | limited symbols | Yes | | Alpha Vantage | $50/mo | US stocks | Yes | Yahoo Finance's official API (YF Data API) costs $25–$599/month. This actor: - Uses Yahoo Finance's **public endpoints** — no API key, no registration - Accesses Yahoo Finance's **public endpoints** reliably from Apify cloud - Handles the **crumb/cookie auth handshake** automatically for quote mode — zero manual steps - Returns `parse_confidence` on every record — you know what to trust - **Broad symbol support** — stocks, ETFs, crypto, indices, forex, international tickers - **PPE pricing** — $1.50/1,000 quote records, $0.50/1,000 history bars, nothing for symbols that fail ### Use with AI agents (MCP) This actor is callable as a **tool by AI agents** (Claude Desktop, Cursor, VS Code, n8n, LangGraph, CrewAI, or any MCP-compatible client) via Apify's hosted Model Context Protocol server. An agent uses it to **look up live stock prices, historical OHLCV data, ETF quotes, or crypto prices mid-conversation** — e.g. "what is AAPL's current price?", "show me the last year of daily closes for BTC-USD". Point your MCP client at this tool: ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/yahoo-finance-scraper", "--header", "Authorization: Bearer " ] } } } ``` Minimal input an agent can send: ```json { "mode": "quote", "symbols": ["AAPL", "BTC-USD", "^GSPC"] } ``` *** ### Notes on edge cases - **Index symbols** (^GSPC, ^DJI) often have null `volume` — this is a Yahoo Finance limitation. - **Crypto** (BTC-USD) may have null `market_cap` in quote mode depending on market hours. - **Intraday intervals** (1m–90m) have limited history — use `1d` for long-range data. - Pre/post market bars available in history mode via the `includePrePost` flag. *** ### FAQ **Does it need a Yahoo Finance account or API key?** No. Both the quote and history endpoints are public. Quote mode performs an automated crumb/cookie handshake — no manual steps required. **Can it fetch multiple symbols at once?** Yes. Quote mode supports up to 100 symbols per run. History mode fetches one symbol at a time (per Yahoo's endpoint design) and batches automatically. **Does it work for international stocks?** Yes. Append the exchange suffix — e.g. `ASML.AS` (Amsterdam), `7203.T` (Tokyo). Coverage depends on Yahoo Finance's data licensing. **What is `adj_close`?** The adjusted close price, corrected for stock splits and dividend payments. Use this for accurate long-term return calculations. *** ### Pricing example Pay per result (PPE). Charged per record pushed. Symbols that fail to resolve are not charged. | Fetch | Records | Cost | |---|---|---| | Live quote for 5 stocks | 5 | ~$0.008 | | Live quotes for 50 stocks + ETFs | 50 | ~$0.075 | | 1 year daily OHLCV for 1 symbol | ~252 bars | ~$0.13 | | 5 years daily OHLCV for 10 symbols | ~12,600 bars | ~$6.30 | | Intraday 5m bars, 30 days, 3 symbols | ~11,700 bars | ~$5.85 | ### Integrations Built for quant analysts and portfolio trackers feeding stock, ETF, and crypto price data into models without a paid data subscription — the JSON/dataset output drops into the tools you already run, no glue code: - **n8n / Make / Zapier** — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: [n8n](https://docs.apify.com/platform/integrations/n8n), [Make](https://docs.apify.com/platform/integrations/make), [Zapier](https://docs.apify.com/platform/integrations/zapier). - **Webhooks** — fire your own endpoint the moment a run finishes, to push results straight into your pipeline ([docs](https://docs.apify.com/platform/integrations/webhooks)). - **MCP server** — expose this actor as a tool to Claude, Cursor, or any [MCP client](https://mcp.apify.com) so an AI agent can pull this data mid-conversation ([guide](https://blog.apify.com/how-to-use-mcp/)). - **API & SDKs** — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs. See all [Apify integrations](https://apify.com/integrations). ### Legal Not affiliated with Yahoo Finance or Yahoo Inc. This actor uses publicly accessible endpoints. Use responsibly. ### Also in this finance family - [CoinGecko Scraper](https://apify.com/bovi/coingecko-scraper) — live crypto prices, market caps, all coins - [Binance Scraper](https://apify.com/bovi/binance-scraper) — spot prices + OHLCV klines for 3,500+ pairs - [Dexscreener Scraper](https://apify.com/bovi/dexscreener-scraper) — DEX pairs, on-chain token prices across 50+ chains - [DefiLlama Scraper](https://apify.com/bovi/defillama-scraper) — DeFi protocol TVL + yield pool APY - [ECB Exchange Rates Scraper](https://apify.com/bovi/exchange-rates-scraper) — historical FX rates back to 1999 # Actor input Schema ## `mode` (type: `string`): What to scrape. quote: real-time price snapshot (price, prev\_close, open, high, low, volume, market\_cap). history: OHLCV bars over a time range (date, open, high, low, close, adj\_close, volume). ## `symbols` (type: `array`): Yahoo Finance ticker symbols. Stocks: AAPL, MSFT. Crypto: BTC-USD, ETH-USD. Indices: ^GSPC, ^DJI. ETFs: SPY, QQQ. Forex: EURUSD=X. Up to 100 for quote mode. ## `range` (type: `string`): History mode only. How far back to fetch data. 1d=1 day, 5d=5 days, 1mo=1 month, 3mo=3 months, 6mo=6 months, 1y=1 year, 2y=2 years, 5y=5 years, 10y=10 years, ytd=year to date, max=all available. ## `interval` (type: `string`): History mode only. Granularity of each bar. 1m/2m/5m/15m/30m/60m/90m: intraday (limited range). 1h: hourly. 1d: daily. 1wk: weekly. 1mo: monthly. ## `maxItems` (type: `integer`): Maximum total records to return across all symbols. 0 = no limit. Default 1000. ## `adjustedClose` (type: `boolean`): History mode only. Include adj\_close (split/dividend adjusted). Default true. ## `includePrePost` (type: `boolean`): History mode only. Include pre-market and after-hours bars in intraday intervals. Default false. ## Actor input object example ```json { "mode": "quote", "symbols": [ "AAPL", "MSFT", "GOOGL" ], "range": "1mo", "interval": "1d", "maxItems": 1000, "adjustedClose": true } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing Yahoo Finance Scraper records (symbol, mode, regular\_price, market\_cap, volume, day\_high, day\_low, date, close, timestamp, 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 = { "mode": "quote", "symbols": [ "AAPL", "MSFT", "GOOGL" ], "range": "1mo", "interval": "1d", "maxItems": 1000, "adjustedClose": true, "includePrePost": false }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/yahoo-finance-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": "quote", "symbols": [ "AAPL", "MSFT", "GOOGL", ], "range": "1mo", "interval": "1d", "maxItems": 1000, "adjustedClose": True, "includePrePost": False, } # Run the Actor and wait for it to finish run = client.actor("bovi/yahoo-finance-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": "quote", "symbols": [ "AAPL", "MSFT", "GOOGL" ], "range": "1mo", "interval": "1d", "maxItems": 1000, "adjustedClose": true, "includePrePost": false }' | apify call bovi/yahoo-finance-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/yahoo-finance-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yahoo Finance Scraper — Live Quotes & Stock History", "description": "Scrape live stock quotes and historical OHLCV price data from Yahoo Finance. Supports stocks, ETFs, crypto, indices, and forex. Two modes: quote (real-time price snapshot for up to 100 symbols) and history (OHLCV bars with adjustable interval and range). No API key required. Pay per result.", "version": "0.1", "x-build-id": "WMH5DgwjOcq5ZgRy7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~yahoo-finance-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-yahoo-finance-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bovi~yahoo-finance-scraper/runs": { "post": { "operationId": "runs-sync-bovi-yahoo-finance-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bovi~yahoo-finance-scraper/run-sync": { "post": { "operationId": "run-sync-bovi-yahoo-finance-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Mode", "enum": [ "quote", "history" ], "type": "string", "description": "What to scrape. quote: real-time price snapshot (price, prev_close, open, high, low, volume, market_cap). history: OHLCV bars over a time range (date, open, high, low, close, adj_close, volume)." }, "symbols": { "title": "Symbols", "type": "array", "description": "Yahoo Finance ticker symbols. Stocks: AAPL, MSFT. Crypto: BTC-USD, ETH-USD. Indices: ^GSPC, ^DJI. ETFs: SPY, QQQ. Forex: EURUSD=X. Up to 100 for quote mode.", "items": { "type": "string" } }, "range": { "title": "Date range", "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "description": "History mode only. How far back to fetch data. 1d=1 day, 5d=5 days, 1mo=1 month, 3mo=3 months, 6mo=6 months, 1y=1 year, 2y=2 years, 5y=5 years, 10y=10 years, ytd=year to date, max=all available." }, "interval": { "title": "Bar interval", "enum": [ "1m", "2m", "5m", "15m", "30m", "60m", "90m", "1h", "1d", "1wk", "1mo" ], "type": "string", "description": "History mode only. Granularity of each bar. 1m/2m/5m/15m/30m/60m/90m: intraday (limited range). 1h: hourly. 1d: daily. 1wk: weekly. 1mo: monthly." }, "maxItems": { "title": "Max items total", "minimum": 0, "type": "integer", "description": "Maximum total records to return across all symbols. 0 = no limit. Default 1000." }, "adjustedClose": { "title": "Include adjusted close", "type": "boolean", "description": "History mode only. Include adj_close (split/dividend adjusted). Default true." }, "includePrePost": { "title": "Include pre/post market data", "type": "boolean", "description": "History mode only. Include pre-market and after-hours bars in intraday intervals. Default false." } } }, "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 } } } } } } } } } } ```