# DuckDuckGo News Scraper - Low-costπŸ’²πŸ”₯πŸ“°πŸ¦† (`delectable_incubator/duckduckgo-news-scraper-low-cost`) Actor Scrape DuckDuckGo News search results πŸ“°πŸ” with a powerful news scraper. Extract article URLs, titles, snippets, sources, publication dates, thumbnails, rankings, and more. Ideal for news monitoring, media intelligence, reputation tracking, competitor analysis, SEO research, and SERP analytics πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/duckduckgo-news-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** News, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start 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

DuckDuckGo News Scraper

--- ## DuckDuckGo News Scraper πŸ¦†πŸ“°πŸš€ The DuckDuckGo News Scraper is a powerful and scalable Apify Actor designed to extract structured news search results directly from DuckDuckGo News. It enables news monitoring, media intelligence, brand reputation tracking, SEO research, SERP analysis, trend detection, competitive intelligence, market research, and structured news dataset generation from one of the world's most privacy-focused search engines. --- ### 🎯 What This Scraper Does Simply provide one or more keywords and the scraper handles everything automatically. βœ… Extracts DuckDuckGo News search results βœ… Supports multiple keywords in a single run βœ… Collects article titles and URLs βœ… Extracts news snippets and summaries βœ… Captures publisher and source information βœ… Collects publication dates when available βœ… Extracts thumbnail image URLs βœ… Supports regional search settings βœ… Supports news time filters βœ… Applies maxItemsPerKeyword limits βœ… Generates clean and structured datasets βœ… Ready for analytics and monitoring workflows βœ… Export-ready output format --- ### πŸ“Š Data Extracted #### πŸ“° News Article Information | Field | Description | | ------------------ | -------------------------- | | πŸ”Ž keyword | Search keyword | | πŸ“ˆ position | Position in news results | | πŸ“° title | Article title | | πŸ”— url | Article URL | | πŸ“ snippet | News summary/snippet | | 🏒 source | News publisher | | 🌐 domain | Source website domain | | πŸ“… publishedDate | Publication date | | πŸ–ΌοΈ thumbnailUrl | Thumbnail image URL | | ⏱️ searchTimestamp | Search execution timestamp | --- ### πŸ›  How to Use #### 1️⃣ Configure Input Provide one or multiple keywords: ```` { "keywords": \[ "Technology", "Politics", "Climate" ], "NEWS\_TIME\_FILTER": "week", "MAX\_ITEMS\_PER\_KEYWORD": 20, "REGION": "us-en" } ``` #### 2️⃣ Run the Actor β€’ Searches DuckDuckGo News automatically β€’ Processes all supplied keywords β€’ Extracts structured article information β€’ Collects publisher and publication metadata β€’ Applies result limits automatically β€’ Stops when limits are reached #### 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "keywords": \[ "Technology", "Politics", "Climate" ], "NEWS\_TIME\_FILTER": "week", "MAX\_ITEMS\_PER\_KEYWORD": 20, "REGION": "us-en" } ``` #### Input Fields | Field | Type | Description | | --------------------- | ------- | ---------------------------------------- | | keywords | array | List of keywords or topics to search | | NEWS_TIME_FILTER | string | News time filter (any, day, week, month) | | MAX_ITEMS_PER_KEYWORD | integer | Maximum articles to collect per keyword | | REGION | string | DuckDuckGo search region | --- ### πŸ“€ Output Example ``` { "keyword": "Technology", "position": 1, "title": "AI Breakthroughs Reshape the Tech Industry", "url": "https://example.com/news/article", "snippet": "New advancements in artificial intelligence are rapidly transforming the technology sector...", "source": "Tech News Daily", "domain": "example.com", "publishedDate": "2026-02-07", "thumbnailUrl": "https://example.com/thumb.jpg", "searchTimestamp": "2026-02-08T14:22:10Z" } ```` --- ### πŸ“Š Output Explanation | Use Case | Description | | --------------------------- | -------------------------------------------- | | πŸ“° News Monitoring | Track news coverage across topics and brands | | πŸ“ˆ SEO Research | Analyze DuckDuckGo News visibility | | 🏒 Brand Reputation | Monitor press mentions and media coverage | | πŸ“Š Competitive Intelligence | Track competitor news activity | | 🌍 Trend Analysis | Discover emerging topics and stories | | πŸ€– Automation Pipelines | Feed news data into dashboards and workflows | --- ### 🌍 Why Use This Scraper? πŸ“° Monitor news topics at scale πŸ“ˆ Analyze DuckDuckGo News search visibility 🏒 Track brand and competitor coverage 🌍 Discover emerging trends and breaking stories ⚑ Fast and automated extraction πŸ€– Automation-ready output πŸ“¦ Bulk keyword support 🧠 Ideal for marketers, researchers, journalists, analysts, and agencies πŸš€ Scalable for both small and enterprise workloads --- ### ❓ FAQ #### How does this scraper work? The scraper searches DuckDuckGo News for your keywords and extracts structured news article information including titles, URLs, snippets, publishers, publication dates, and thumbnails. #### Can I scrape multiple keywords in one run? Yes. You can provide multiple keywords inside the keywords array. #### Does the scraper collect publisher information? Yes. Publisher names and source domains are extracted whenever available. #### Can I filter news by publication date? Yes. DuckDuckGo News time filters are supported including day, week, and month. #### Is the data collected live? Yes. Data is extracted directly from DuckDuckGo News during every run. #### What export formats are supported? JSON, CSV, Excel, XML, and HTML. #### Can I monitor news continuously? Yes. You can schedule recurring Apify runs to monitor topics and brands over time. #### What happens if the scraper fails? The Actor includes retry mechanisms and automated error handling to improve reliability. #### How long does a run take? Most extractions complete within minutes depending on the number of keywords and requested results. --- ### πŸš€ How to Use 1️⃣ Sign up β€” Create a free Apify account 2️⃣ Find the tool β€” Search for "DuckDuckGo News Scraper" in the Apify Store 3️⃣ Configure keywords β€” Add one or multiple search keywords 4️⃣ Run it β€” Start the Actor and wait for extraction 5️⃣ Export data β€” Download results in JSON, CSV, Excel, XML, or HTML --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by DuckDuckGo. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $4.99 / 1000 results --- ### Related Actors If you're interested in other Search, News, SEO, Media Monitoring, Lead Generation, Jobs, Real Estate, or Social Media scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool. --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation. Contact us for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `keywords` (type: `array`): List of keywords or subjects to search for news. Each keyword will be scraped separately. ## `NEWS_TIME_FILTER` (type: `string`): Filter news articles by publication date ## `MAX_ITEMS_PER_KEYWORD` (type: `integer`): Maximum number of news articles to extract per keyword ## `REGION` (type: `string`): Search region / country ## Actor input object example ```json { "keywords": [ "Nature", "AI" ], "NEWS_TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 50, "REGION": "wt-wt" } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "Nature", "AI" ], "NEWS_TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 50, "REGION": "wt-wt" }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/duckduckgo-news-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "keywords": [ "Nature", "AI", ], "NEWS_TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 50, "REGION": "wt-wt", } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/duckduckgo-news-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "Nature", "AI" ], "NEWS_TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 50, "REGION": "wt-wt" }' | apify call delectable_incubator/duckduckgo-news-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/duckduckgo-news-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DuckDuckGo News Scraper - Low-costπŸ’²πŸ”₯πŸ“°πŸ¦†", "description": "Scrape DuckDuckGo News search results πŸ“°πŸ” with a powerful news scraper. Extract article URLs, titles, snippets, sources, publication dates, thumbnails, rankings, and more. Ideal for news monitoring, media intelligence, reputation tracking, competitor analysis, SEO research, and SERP analytics πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "LZ2ps04lKJjq6OXcB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~duckduckgo-news-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-duckduckgo-news-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~duckduckgo-news-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-duckduckgo-news-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~duckduckgo-news-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-duckduckgo-news-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keywords", "NEWS_TIME_FILTER", "MAX_ITEMS_PER_KEYWORD" ], "properties": { "keywords": { "title": "Keywords or subjects you wish to search for πŸ”πŸ“°", "type": "array", "description": "List of keywords or subjects to search for news. Each keyword will be scraped separately.", "items": { "type": "string" }, "default": [ "Nature", "AI" ] }, "NEWS_TIME_FILTER": { "title": "News Time Filter", "enum": [ "any", "day", "week", "month" ], "type": "string", "description": "Filter news articles by publication date", "default": "any" }, "MAX_ITEMS_PER_KEYWORD": { "title": "Max Items Per Keyword", "type": "integer", "description": "Maximum number of news articles to extract per keyword", "default": 50 }, "REGION": { "title": "Region 🌍", "enum": [ "wt-wt", "xa-ar", "xa-en", "ar-es", "au-en", "at-de", "be-fr", "be-nl", "br-pt", "bg-bg", "ca-en", "ca-fr", "ct-ca", "cl-es", "cn-zh", "co-es", "hr-hr", "cz-cs", "dk-da", "ee-et", "fi-fi", "fr-fr", "de-de", "gr-el", "hk-tzh", "hu-hu", "in-en", "id-en", "id-id", "ie-en", "it-it", "jp-jp", "kr-kr", "lv-lv", "lt-lt", "xl-es", "my-en", "my-ms", "mx-es", "nl-nl", "nz-en", "no-no", "pe-es", "ph-en", "ph-tl", "pl-pl", "pt-pt", "ro-ro", "ru-ru", "sg-en", "sk-sk", "sl-sl", "za-en", "es-ca", "es-es", "se-sv", "ch-de", "ch-fr", "tw-tzh", "th-en", "th-th", "tr-tr", "ua-uk", "uk-en", "us-en", "us-es", "ve-es", "vn-en", "vn-vi" ], "type": "string", "description": "Search region / country", "default": "wt-wt" } } }, "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 } } } } } } } } } } ```