# New York Times News Scraper (`xtracto/nytimes-scraper`) Actor Extracts full New York Times articles while successfully bypassing partial-render paywalls to ensure complete content delivery. - **URL**: https://apify.com/xtracto/nytimes-scraper.md - **Developed by:** [Xtractoo](https://apify.com/xtracto) (community) - **Categories:** News, Lead generation, Other - **Stats:** 6 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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. 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 ## New York Times Article Scraper Extract full article text, headline, byline, authors, publication date, categories, tags, and metadata from **nytimes.com** article URLs. Extracts full article text including content behind the metered soft paywall. ### Why Use This Actor? - **Bypasses soft paywall** - extracts full NYT article text available to web visitors. - **Full article extraction** - retrieves complete article text (10,000+ chars) including investigative long-form pieces. - **Rich metadata** - extracts authors, published/modified dates, categories, tags, and description. - **Investigative journalism research** - NYT investigative pieces are the definitive source for deep US stories. - **Cultural coverage** - NYT covers books, film, food, and culture alongside hard news. ### How It Works This actor uses **only HTTP requests** - no browser, no Selenium, no Playwright. Bypasses Cloudflare protection without a real browser. Articles are extracted in seconds with RAM usage well under 256 MB. ### Input ```json { "url": "https://www.nytimes.com/2026/04/12/technology/example-article.html", "urls": [ "https://www.nytimes.com/2026/04/12/us/politics/article-one.html", "https://www.nytimes.com/2026/04/11/world/article-two.html" ] , "mode": "article", "limit": 10 } ```` ### Output ```json { "url": "https://www.nytimes.com/2026/04/20/world/asia/asia-pacific-iran-war-oil.html", "source": "New York Times", "title": "The Iran War Sent Shock Waves Through Asia That Are Likely to Spread", "description": "The Asia-Pacific was hit hard and quick by the war in Iran and its energy bottlenecks. Scenes of crisis there indicate that problems are multiplying and spreading.", "published_date": "2026-04-20T05:39:43.000Z", "content": "When the war in Iran started on Feb. 28, Asia expected to see serious, gradual impacts from losing access to a huge portion of the world’s oil and gas. But the conflict’s economic and social impacts have hit the region harder and faster than officials and experts expected. Many countries across the Asia-Pacific are experiencing sudden jolts of disruption that they are struggling to manage, with some comparing the crisis’s breakdowns and scope to..." } ``` ### Fetch Latest News Set `mode` to `"latest"` to fetch the newest article URLs and titles from New York Times instead of extracting a single article. **Input:** ```json { "mode": "latest", "limit": 10 } ``` **Output** - array of objects: ```json [ { "url": "https://www.nytimes.com/2026/04/20/world/asia/asia-pacific-iran-war-oil.html", "title": "The Iran War Sent Shock Waves Through Asia That Are Likely to Spread", "published_date": "Mon, 20 Apr 2026 05:39:43 +0000", "source": "New York Times" } //... ] ``` Source: `https://rss.nytimes.com/services/xml/rss/nyt/HomePage.xml` (RSS feed) ### Other News Actors Need a different news source? All actors in this collection: | Actor | Source | |---|---| | [`aljazeera-scraper`](https://apify.com/xtracto/aljazeera-scraper) | Al Jazeera | | [`apnews-scraper`](https://apify.com/xtracto/apnews-scraper) | AP News | | [`bbc-scraper`](https://apify.com/xtracto/bbc-scraper) | BBC News | | [`cnbc-scraper`](https://apify.com/xtracto/cnbc-scraper) | CNBC | | [`forbes-scraper`](https://apify.com/xtracto/forbes-scraper) | Forbes | | [`fortune-scraper`](https://apify.com/xtracto/fortune-scraper) | Fortune | | [`ft-scraper`](https://apify.com/xtracto/ft-scraper) | Financial Times | | [`guardian-scraper`](https://apify.com/xtracto/guardian-scraper) | The Guardian | | [`msn-scraper`](https://apify.com/xtracto/msn-scraper) | MSN News | | [`nytimes-scraper`](https://apify.com/xtracto/nytimes-scraper) | New York Times | | [`reuters-scraper`](https://apify.com/xtracto/reuters-scraper) | Reuters | | [`scmp-scraper`](https://apify.com/xtracto/scmp-scraper) | South China Morning Post | | [`techcrunch-scraper`](https://apify.com/xtracto/techcrunch-scraper) | TechCrunch | | [`upi-scraper`](https://apify.com/xtracto/upi-scraper) | UPI | | [`yahoo-finance-scraper`](https://apify.com/xtracto/yahoo-finance-scraper) | Yahoo Finance | | [`smart-news-loader`](https://apify.com/xtracto/smart-news-loader) | Any URL - adaptive HTTP loader | | [`bloomberg-scraper`](https://apify.com/xtracto/bloomberg-news-article-scraper) | Bloomberg | All actors support `mode: "latest"` for fetching newest article URLs from each source. # Actor input Schema ## `url` (type: `string`): Single article URL to extract. ## `urls` (type: `array`): List of article URLs to extract. ## `mode` (type: `string`): Operation mode: 'article' to extract a single article (default), 'latest' to fetch newest headlines from the source's RSS feed. ## `limit` (type: `integer`): Number of latest articles to return when mode is 'latest'. Default: 10. ## Actor input object example ```json { "mode": "article", "limit": 10 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/nytimes-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 = {} # Run the Actor and wait for it to finish run = client.actor("xtracto/nytimes-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 '{}' | apify call xtracto/nytimes-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/nytimes-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "New York Times News Scraper", "description": "Extracts full New York Times articles while successfully bypassing partial-render paywalls to ensure complete content delivery.", "version": "1.0", "x-build-id": "LQ7T3d3vlTNcCVdbY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~nytimes-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-nytimes-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~nytimes-scraper/runs": { "post": { "operationId": "runs-sync-xtracto-nytimes-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~nytimes-scraper/run-sync": { "post": { "operationId": "run-sync-xtracto-nytimes-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "url": { "title": "Article URL", "type": "string", "description": "Single article URL to extract." }, "urls": { "title": "Article URLs", "type": "array", "description": "List of article URLs to extract.", "items": { "type": "string" } }, "mode": { "title": "Mode", "enum": [ "article", "latest" ], "type": "string", "description": "Operation mode: 'article' to extract a single article (default), 'latest' to fetch newest headlines from the source's RSS feed.", "default": "article" }, "limit": { "title": "Limit", "type": "integer", "description": "Number of latest articles to return when mode is 'latest'. Default: 10.", "default": 10 } } }, "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 } } } } } } } } } } ```