# DuckDuckGo Autocomplete Scraper - SEO Keyword Suggestions (`ninhothedev/duckduckgo-autocomplete-scraper`) Actor $0.5/1K ๐Ÿ”ฅ Fast DuckDuckGo autocomplete scraper! Search suggestions with A-Z expansion for hundreds of long-tail keywords. No key. JSON, CSV, Excel or API in seconds. Pull thousands for SEO & content research โšก - **URL**: https://apify.com/ninhothedev/duckduckgo-autocomplete-scraper.md - **Developed by:** [ninhothedev](https://apify.com/ninhothedev) (community) - **Categories:** SEO tools, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Autocomplete Scraper ๐Ÿ” **Scrape DuckDuckGo search autocomplete suggestions with automatic A-Z expansion โ€” no API key, datacenter-proxy friendly, and cheap.** Perfect for SEO keyword research, content ideation, and PPC campaign building. Feed the actor a list of seed keywords and it returns hundreds of real, privacy-focused search suggestions people actually type into DuckDuckGo โ€” one clean row per keyword. --- ### โœจ Why this actor - **No API key, no login.** Uses DuckDuckGo's public autocomplete endpoint (clean JSON). - **A-Z expansion (USP).** Each seed is also queried as `{seed} a` โ€ฆ `{seed} z`, surfacing dozens of long-tail keyword ideas per seed โ€” the same trick premium keyword tools charge for. - **Datacenter-friendly.** Runs great on cheap datacenter proxies (or none at all), keeping your costs low. - **Regional targeting.** Localize suggestions per market with a simple `region` code (`us-en`, `uk-en`, `de-de`, โ€ฆ). - **Clean, deduped output.** One suggestion per row, deduplicated by keyword + seed, ready for CSV/Excel/JSON export. ### ๐Ÿ’ก Use cases - **SEO keyword research** โ€” discover the long-tail queries real users search. - **Content ideas** โ€” turn one topic into an editorial calendar of question-based headlines. - **PPC / paid search** โ€” expand ad groups and negative-keyword lists fast. - **Privacy-focused SERP intel** โ€” see demand on DuckDuckGo, not just Google. ### ๐Ÿงพ Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | select | `suggest` | Scraping mode. `suggest` = seeds โ†’ autocomplete (+ optional A-Z). | | `keywords` | array | `["best vpn","how to invest"]` | Seed keywords to expand. | | `region` | string | `us-en` | DuckDuckGo region code (`kl` param), e.g. `us-en`, `uk-en`, `de-de`. | | `alphabetExpansion` | boolean | `true` | Query each seed as `{seed} a`โ€ฆ`{seed} z` for long-tail ideas. | | `maxItems` | integer | `500` (max `5000`) | Cap on total suggestions returned. | #### Example input ```json { "mode": "suggest", "keywords": ["best vpn", "how to invest"], "region": "us-en", "alphabetExpansion": true, "maxItems": 500 } ```` ### ๐Ÿ“ค Output Each dataset item is one suggestion: ```json { "keyword": "best vpn for pc", "seed": "best vpn", "region": "us-en", "rank": 4, "source": "duckduckgo", "scraped_at": "2026-07-21T09:12:44.512Z" } ``` | Field | Description | |-------|-------------| | `keyword` | The suggested search phrase. | | `seed` | The seed keyword it was expanded from. | | `region` | Region code used for the request. | | `rank` | Position of the suggestion within its query (1 = top). | | `source` | Always `duckduckgo`. | | `scraped_at` | UTC ISO timestamp. | ### ๐Ÿ’ฐ Pricing Pay-per-result and dirt cheap: **~$0.50 per 1,000 suggestions**. A-Z expansion turns a handful of seeds into thousands of keyword ideas for a few cents. ### ๐Ÿ”— Related actors - [Google Keyword Suggestions Scraper](https://apify.com/ninhothedev/google-keyword-suggestions-scraper) - [Bing Keyword Scraper](https://apify.com/ninhothedev/bing-keyword-scraper) - [Amazon Keyword Scraper](https://apify.com/ninhothedev/amazon-keyword-scraper) - [YouTube Keyword Scraper](https://apify.com/ninhothedev/youtube-keyword-scraper) ### โš–๏ธ Notes This actor collects publicly available autocomplete suggestions. Use responsibly and in line with DuckDuckGo's terms. **Keywords:** duckduckgo scraper, autocomplete scraper, keyword research tool, seo keywords, search suggestions, long-tail keywords, ppc keywords, keyword ideas, ddg autocomplete, keyword suggestion api. # Actor input Schema ## `mode` (type: `string`): Scraping mode. 'suggest' takes your seed keywords and returns DuckDuckGo autocomplete suggestions, optionally expanded A-Z. ## `keywords` (type: `array`): Seed keywords to expand. Each seed is queried against DuckDuckGo autocomplete; suggestions are returned as separate items. ## `region` (type: `string`): DuckDuckGo region code (the 'kl' parameter), e.g. 'us-en', 'uk-en', 'de-de'. Controls language and localization of suggestions. ## `alphabetExpansion` (type: `boolean`): If true, each seed is also queried as '{seed} a' through '{seed} z' to surface many more long-tail keyword ideas. Turn off for faster, seed-only runs. ## `maxItems` (type: `integer`): Maximum number of suggestion items to return across all seeds. Keeps runs cheap and predictable. ## Actor input object example ```json { "mode": "suggest", "keywords": [ "best vpn", "how to invest" ], "region": "us-en", "alphabetExpansion": true, "maxItems": 500 } ``` # 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": [ "best vpn", "how to invest" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ninhothedev/duckduckgo-autocomplete-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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": [ "best vpn", "how to invest", ] } # Run the Actor and wait for it to finish run = client.actor("ninhothedev/duckduckgo-autocomplete-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "best vpn", "how to invest" ] }' | apify call ninhothedev/duckduckgo-autocomplete-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ninhothedev/duckduckgo-autocomplete-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DuckDuckGo Autocomplete Scraper - SEO Keyword Suggestions", "description": "$0.5/1K ๐Ÿ”ฅ Fast DuckDuckGo autocomplete scraper! Search suggestions with A-Z expansion for hundreds of long-tail keywords. No key. JSON, CSV, Excel or API in seconds. Pull thousands for SEO & content research โšก", "version": "0.1", "x-build-id": "VxU9ZDPQnVLYuCoza" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ninhothedev~duckduckgo-autocomplete-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ninhothedev-duckduckgo-autocomplete-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/ninhothedev~duckduckgo-autocomplete-scraper/runs": { "post": { "operationId": "runs-sync-ninhothedev-duckduckgo-autocomplete-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/ninhothedev~duckduckgo-autocomplete-scraper/run-sync": { "post": { "operationId": "run-sync-ninhothedev-duckduckgo-autocomplete-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", "required": [ "keywords" ], "properties": { "mode": { "title": "Mode", "enum": [ "suggest" ], "type": "string", "description": "Scraping mode. 'suggest' takes your seed keywords and returns DuckDuckGo autocomplete suggestions, optionally expanded A-Z.", "default": "suggest" }, "keywords": { "title": "Seed keywords", "type": "array", "description": "Seed keywords to expand. Each seed is queried against DuckDuckGo autocomplete; suggestions are returned as separate items.", "default": [ "best vpn", "how to invest" ], "items": { "type": "string" } }, "region": { "title": "Region (kl)", "type": "string", "description": "DuckDuckGo region code (the 'kl' parameter), e.g. 'us-en', 'uk-en', 'de-de'. Controls language and localization of suggestions.", "default": "us-en" }, "alphabetExpansion": { "title": "A-Z alphabet expansion", "type": "boolean", "description": "If true, each seed is also queried as '{seed} a' through '{seed} z' to surface many more long-tail keyword ideas. Turn off for faster, seed-only runs.", "default": true }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of suggestion items to return across all seeds. Keeps runs cheap and predictable.", "default": 500 } } }, "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 } } } } } } } } } } ```