# DuckDuckGo Search Scraper - Low-costπŸ’²πŸ”₯πŸ”πŸ¦† (`delectable_incubator/duckduckgo-search-scraper-low-cost`) Actor Scrape DuckDuckGo search results πŸ”πŸ¦† with a powerful SERP scraper. Extract titles, URLs, snippets, domains, rankings, thumbnails, dates, and keywords for any query. Ideal for SEO research, keyword tracking, competitor analysis, brand monitoring, search visibility audits, and market intelligence πŸ“Š - **URL**: https://apify.com/delectable\_incubator/duckduckgo-search-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** News, Social media, SEO tools - **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 Search Scraper

--- ## DuckDuckGo Search Scraper πŸ¦†πŸ”ŽπŸŒ The DuckDuckGo Search Scraper is a powerful and scalable Apify Actor designed to extract structured search engine results directly from DuckDuckGo. It enables SEO research, SERP monitoring, brand visibility tracking, competitor analysis, content discovery, market intelligence, trend monitoring, and structured search data collection across multiple keywords, regions, and time ranges. --- ### 🎯 What This Scraper Does Simply provide one or more keywords and the scraper handles everything automatically. βœ… Extracts DuckDuckGo search results βœ… Supports bulk keyword scraping βœ… Supports multiple regions and countries βœ… Supports date filtering βœ… Collects titles, URLs, snippets, and domains βœ… Extracts publication dates when available βœ… Captures thumbnail images when available βœ… Tracks search result positions βœ… Generates clean and structured datasets βœ… Ready for SEO, analytics, and monitoring workflows βœ… Export-ready output format --- ### πŸ“Š Data Extracted #### πŸ”Ž Search Result Information | Field | Description | | ------------------ | --------------------------------- | | πŸ”‘ keyword | Search keyword | | πŸ“ position | Result position | | πŸ“„ title | Search result title | | πŸ”— url | Target URL | | 🌐 displayedUrl | Displayed URL | | πŸ“ snippet | Search result description | | 🏒 domain | Website domain | | πŸ–ΌοΈ thumbnail | Thumbnail image URL | | πŸ“… date | Publication date (when available) | | πŸ•’ searchTimestamp | Search timestamp | --- ### πŸ›  How to Use #### 1️⃣ Configure Input Provide one or more keywords: ```` { "keywords": \[ "Technology", "USA", "AI" ], "TIME\_FILTER": "week", "MAX\_ITEMS\_PER\_KEYWORD": 10, "REGION": "us-en" } ``` #### 2️⃣ Run the Actor β€’ Searches DuckDuckGo automatically β€’ Processes search results β€’ Extracts structured SERP data β€’ Collects snippets and metadata β€’ Applies result limits β€’ Stores results inside the Apify dataset #### 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", "USA", "AI" ], "TIME\_FILTER": "week", "MAX\_ITEMS\_PER\_KEYWORD": 10, "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) | | MAX_ITEMS_PER_KEYWORD | integer | Maximum results per keyword | | REGION | string | DuckDuckGo region / country | --- ### πŸ“€ Output Example ``` { "keyword": "AI", "position": 1, "title": "Artificial Intelligence - What it is and why it matters", "url": "https://example.com/ai", "displayedUrl": "example.com/ai", "snippet": "Artificial intelligence (AI) refers to the simulation of human intelligence...", "domain": "example.com", "thumbnail": "https://example.com/image.jpg", "date": "2025-01-15", "searchTimestamp": "2026-02-08T14:22:10Z" } ```` --- ### πŸ“Š Output Explanation | Use Case | Description | | ----------------------- | -------------------------------- | | πŸ”Ž SEO Research | Analyze search engine visibility | | πŸ“ˆ SERP Monitoring | Track keyword rankings | | 🏒 Brand Tracking | Monitor online brand presence | | πŸ“Š Competitor Analysis | Analyze competing websites | | 🌍 Market Research | Discover trends and topics | | πŸ€– Automation Pipelines | Feed search data into workflows | --- ### 🌍 Why Use This Scraper? πŸ”Ž Monitor DuckDuckGo search rankings πŸ“ˆ Track keyword visibility over time 🏒 Analyze brand presence and competitors 🌐 Collect search data across multiple regions ⚑ Fast and automated extraction πŸ€– Automation-ready output πŸ“¦ Bulk keyword support 🧠 Ideal for SEO specialists, marketers, agencies, researchers, and analysts πŸš€ Scalable for both small and enterprise workloads --- ### ❓ FAQ #### How does this scraper work? The scraper performs searches on DuckDuckGo and extracts structured search result information including titles, URLs, snippets, domains, dates, and ranking positions. #### Can I scrape multiple keywords in one run? Yes. Simply provide multiple keywords inside the keywords array. #### Does the scraper support regional searches? Yes. You can select DuckDuckGo regions and countries. #### Can I filter results by date? Yes. The Actor supports any, day, week, month, and year filters. #### 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, 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 Search Scraper" in the Apify Store 3️⃣ Configure keywords β€” Add one or multiple search terms 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:** $4.99 / 1000 results --- ### Related Actors If you're interested in other Search, SEO, News, Lead Generation, Jobs, Real Estate, Marketplace, Research, or Analytics scraping solutions, explore more tools: *(Coming soon)* --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool. --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation. Contact us for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `keywords` (type: `array`): List of keywords or subjects to search for. Each keyword will be scraped separately. ## `TIME_FILTER` (type: `string`): Filter results by date ## `MAX_ITEMS_PER_KEYWORD` (type: `integer`): Maximum number of results to extract per keyword ## `REGION` (type: `string`): Search region / country ## Actor input object example ```json { "keywords": [ "Technology", "AI" ], "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 20, "REGION": "wt-wt" } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "Technology", "AI" ], "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 20, "REGION": "wt-wt" }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/duckduckgo-search-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${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": [ "Technology", "AI", ], "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 20, "REGION": "wt-wt", } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/duckduckgo-search-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": [ "Technology", "AI" ], "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 20, "REGION": "wt-wt" }' | apify call delectable_incubator/duckduckgo-search-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-search-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DuckDuckGo Search Scraper - Low-costπŸ’²πŸ”₯πŸ”πŸ¦†", "description": "Scrape DuckDuckGo search results πŸ”πŸ¦† with a powerful SERP scraper. Extract titles, URLs, snippets, domains, rankings, thumbnails, dates, and keywords for any query. Ideal for SEO research, keyword tracking, competitor analysis, brand monitoring, search visibility audits, and market intelligence πŸ“Š", "version": "0.0", "x-build-id": "XsxqiNJ5ok39OBgdL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~duckduckgo-search-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-duckduckgo-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~duckduckgo-search-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-duckduckgo-search-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~duckduckgo-search-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-duckduckgo-search-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "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. Each keyword will be scraped separately.", "items": { "type": "string" }, "default": [ "Technology", "AI" ] }, "TIME_FILTER": { "title": "Time Filter", "enum": [ "any", "day", "week", "month", "year" ], "type": "string", "description": "Filter results by date", "default": "any" }, "MAX_ITEMS_PER_KEYWORD": { "title": "Max Items Per Keyword", "type": "integer", "description": "Maximum number of results to extract per keyword", "default": 20 }, "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 } } } } } } } } } } ```