# DuckDuckGo Videos Scraper - Low-costπŸ’²πŸ”₯πŸ”πŸŽ₯ (`delectable_incubator/duckduckgo-videos-scraper-low-cost`) Actor Scrape DuckDuckGo video search results πŸŽ₯πŸ” with a powerful video SERP scraper. Extract video URLs, titles, thumbnails, durations, platforms, views, rankings, and more. Ideal for video SEO analysis, content discovery, competitor monitoring, brand tracking, trend research, and media intelligence πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/duckduckgo-videos-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Social media, Videos, 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 Videos Scraper

--- ## DuckDuckGo Videos Scraper πŸŽ₯πŸ¦†πŸ“Š The DuckDuckGo Videos Scraper is a powerful and scalable Apify Actor designed to extract structured video search results directly from DuckDuckGo Videos. It enables video research, content discovery, video SEO analysis, SERP monitoring, media intelligence, trend tracking, competitor analysis, brand monitoring, and structured video dataset generation from one of the world's most popular privacy-focused search engines. --- ### 🎯 What This Scraper Does Simply provide one or more keywords and the scraper handles everything automatically. βœ… Extracts DuckDuckGo video search results βœ… Supports multiple keywords in a single run βœ… Processes video search pages automatically βœ… Supports regional search localization βœ… Supports date filtering βœ… Supports video duration filtering βœ… Supports video resolution filtering βœ… Extracts video metadata and search rankings βœ… Collects video URLs and thumbnails βœ… Captures platform and source information βœ… Generates clean and structured datasets βœ… Ready for SEO, analytics, and monitoring workflows βœ… Export-ready output format --- ### πŸ“Š Data Extracted #### πŸŽ₯ Video Information | Field | Description | | ------------------ | ------------------------------------- | | πŸ”‘ keyword | Search keyword | | πŸ“ position | Video position in search results | | πŸ“„ title | Video title | | πŸ”— videoUrl | Video page URL | | πŸ–Ό thumbnailUrl | Video thumbnail image | | ⏱ duration | Video duration | | πŸ‘ views | View count (when available) | | ▢️ platform | Video platform (YouTube, Vimeo, etc.) | | 🌐 domain | Source website domain | | πŸ“Ί videoResolution | Resolution filter applied | | βŒ› videoDuration | Duration filter applied | | πŸ•’ searchTimestamp | Search execution timestamp | --- ### πŸ›  How to Use #### 1️⃣ Configure Input Provide one or more keywords and optional filters: ```` { "keywords": \[ "Fashion", "Technology", "Cooking" ], "TIME\_FILTER": "week", "VIDEO\_RESOLUTION": "high", "VIDEO\_DURATION": "short", "MAX\_ITEMS\_PER\_KEYWORD": 20, "REGION": "us-en" } ``` #### 2️⃣ Run the Actor β€’ Searches DuckDuckGo Videos automatically β€’ Applies selected filters β€’ Processes video result pages β€’ Extracts structured video metadata β€’ Captures ranking positions β€’ Collects video URLs and thumbnails β€’ Applies result limits β€’ Stops automatically 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": \[ "Fashion", "Technology", "Cooking" ], "TIME\_FILTER": "week", "VIDEO\_RESOLUTION": "high", "VIDEO\_DURATION": "short", "MAX\_ITEMS\_PER\_KEYWORD": 20, "REGION": "us-en" } ``` #### Input Fields | Field | Type | Description | | --------------------- | ------- | ------------------------------------------ | | keywords | array | List of keywords to search | | TIME_FILTER | string | Date filter (any, day, week, month, year) | | VIDEO_RESOLUTION | string | Resolution filter (any, high, standard) | | VIDEO_DURATION | string | Duration filter (any, short, medium, long) | | MAX_ITEMS_PER_KEYWORD | integer | Maximum videos to collect per keyword | | REGION | string | DuckDuckGo search region | | REGION | string | DuckDuckGo search region | --- ### πŸ“€ Output Example ``` { "keyword": "Technology", "position": 1, "title": "Top Tech Trends in 2025", "videoUrl": "https://www.youtube.com/watch?v=example", "thumbnailUrl": "https://example.com/thumb.jpg", "duration": "8:42", "views": "1.2M views", "platform": "YouTube", "domain": "youtube.com", "videoResolution": "high", "videoDuration": "short", "searchTimestamp": "2026-02-08T16:30:10Z" } ```` --- ### πŸ“Š Output Explanation | Use Case | Description | | --------------------------- | --------------------------------------------- | | πŸŽ₯ Video Research | Discover video content at scale | | πŸ“ˆ Video SEO | Analyze DuckDuckGo video rankings | | πŸ“° Media Monitoring | Track video coverage and trends | | 🏷 Brand Monitoring | Monitor branded video visibility | | πŸ€– Automation Pipelines | Feed video data into dashboards and workflows | | πŸ“Š Competitive Intelligence | Analyze competitor video presence | --- ### 🌍 Why Use This Scraper? πŸŽ₯ Discover videos across multiple niches πŸ“ˆ Analyze DuckDuckGo video SERPs 🌍 Monitor regional video search results 🏷 Track branded video visibility ⚑ Fast and automated extraction πŸ€– Automation-ready output πŸ“Š SEO and content marketing insights πŸ” Collect structured video datasets 🧠 Ideal for marketers, agencies, researchers, journalists, and analysts πŸš€ Scalable for both small and enterprise workloads --- ### ❓ FAQ #### How does this scraper work? The scraper searches DuckDuckGo Videos using your keywords and extracts structured video search result data including titles, URLs, thumbnails, rankings, platforms, and metadata. #### Can I scrape multiple keywords in one run? Yes. Simply provide multiple keywords inside the keywords array. #### Can I filter videos by duration? Yes. You can select short, medium, or long videos. #### Can I filter videos by resolution? Yes. The Actor supports high and standard resolution filters. #### Does the scraper collect video thumbnails? Yes. Thumbnail URLs are collected whenever available. #### Can I monitor video rankings over time? Yes. Schedule recurring Apify runs to track ranking changes and new videos. #### Is the data collected live? Yes. Data is extracted directly from DuckDuckGo during every run. #### What export formats are supported? JSON, CSV, Excel, XML, and HTML. #### Can I use the extracted data commercially? Yes. The extracted data can be used for analytics, SEO, research, monitoring, automation, and commercial applications. #### 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 runs 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 Videos 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. All trademarks and brand names belong to their respective owners. --- ### 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, SEO, Video, Images, Research, Lead Generation, Jobs, Real Estate, Marketplace, 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 videos. Each keyword will be scraped separately. ## `TIME_FILTER` (type: `string`): Filter videos by date ## `VIDEO_RESOLUTION` (type: `string`): Filter videos by resolution quality ## `VIDEO_DURATION` (type: `string`): Filter videos by duration/length ## `MAX_ITEMS_PER_KEYWORD` (type: `integer`): Maximum number of videos to extract per keyword ## `REGION` (type: `string`): Search region / country ## Actor input object example ```json { "keywords": [ "AI", "Technology" ], "TIME_FILTER": "any", "VIDEO_RESOLUTION": "any", "VIDEO_DURATION": "any", "MAX_ITEMS_PER_KEYWORD": 70, "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": [ "AI", "Technology" ], "TIME_FILTER": "any", "VIDEO_RESOLUTION": "any", "VIDEO_DURATION": "any", "MAX_ITEMS_PER_KEYWORD": 70, "REGION": "wt-wt" }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/duckduckgo-videos-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": [ "AI", "Technology", ], "TIME_FILTER": "any", "VIDEO_RESOLUTION": "any", "VIDEO_DURATION": "any", "MAX_ITEMS_PER_KEYWORD": 70, "REGION": "wt-wt", } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/duckduckgo-videos-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": [ "AI", "Technology" ], "TIME_FILTER": "any", "VIDEO_RESOLUTION": "any", "VIDEO_DURATION": "any", "MAX_ITEMS_PER_KEYWORD": 70, "REGION": "wt-wt" }' | apify call delectable_incubator/duckduckgo-videos-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-videos-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DuckDuckGo Videos Scraper - Low-costπŸ’²πŸ”₯πŸ”πŸŽ₯", "description": "Scrape DuckDuckGo video search results πŸŽ₯πŸ” with a powerful video SERP scraper. Extract video URLs, titles, thumbnails, durations, platforms, views, rankings, and more. Ideal for video SEO analysis, content discovery, competitor monitoring, brand tracking, trend research, and media intelligence πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "C58g2g5hNj5OhIi93" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~duckduckgo-videos-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-duckduckgo-videos-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~duckduckgo-videos-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-duckduckgo-videos-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~duckduckgo-videos-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-duckduckgo-videos-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "TIME_FILTER", "VIDEO_RESOLUTION", "VIDEO_DURATION", "MAX_ITEMS_PER_KEYWORD" ], "properties": { "keywords": { "title": "Keywords or subjects you wish to search for πŸ”πŸŽ₯", "type": "array", "description": "List of keywords or subjects to search for videos. Each keyword will be scraped separately.", "items": { "type": "string" }, "default": [ "AI", "Technology" ] }, "TIME_FILTER": { "title": "Time Filter", "enum": [ "any", "day", "week", "month", "year" ], "type": "string", "description": "Filter videos by date", "default": "any" }, "VIDEO_RESOLUTION": { "title": "Video Resolution", "enum": [ "any", "high", "standard" ], "type": "string", "description": "Filter videos by resolution quality", "default": "any" }, "VIDEO_DURATION": { "title": "Video Duration", "enum": [ "any", "short", "medium", "long" ], "type": "string", "description": "Filter videos by duration/length", "default": "any" }, "MAX_ITEMS_PER_KEYWORD": { "title": "Max Items Per Keyword", "type": "integer", "description": "Maximum number of videos to extract per keyword", "default": 70 }, "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", "il-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 } } } } } } } } } } ```