# Keyword Ideas Scout — Autocomplete Expansion (`agency-shift/keyword-ideas-scout`) Actor Generate keyword ideas from Google Autocomplete, related searches, and PAA. Expand your keyword universe for SEO and content strategy planning. - **URL**: https://apify.com/agency-shift/keyword-ideas-scout.md - **Developed by:** [Valdeir Lima](https://apify.com/agency-shift) (community) - **Categories:** SEO tools, Marketing - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Keyword Research Scraper — Google Autocomplete Ideas **Expand any seed keyword into hundreds of real keyword ideas** using Google Autocomplete (the suggestions Google shows as you type). A fast, free **keyword research tool** for **SEO, content marketing and PPC** — find long-tail keywords, questions and buyer-intent phrases real people search for. ### What this keyword scraper does - Takes one or more **seed keywords** - Expands each with **A–Z modifiers, question words and prepositions** - Returns **hundreds of unique, real Google Autocomplete suggestions** - Localized by **language and country** > Note: this returns keyword **ideas** (real queries people type), not absolute monthly search volume. Pair it with a volume tool for full keyword research. ### Use cases - **SEO content planning** — find long-tail keywords and topic clusters - **PPC / Google Ads** — discover buyer-intent phrases and negatives - **Question research** — surface "how / what / best / vs" queries for FAQ content - **Niche validation** — see how a market expands across countries (uk, dubai, canada…) - **Content briefs** — feed suggestions into your writing and AI workflows ### Input | Field | Type | Default | Description | |---|---|---|---| | `seeds` | array | — | Seed keywords to expand | | `language` | string | `en` | Autocomplete language (en, de, fr, es, pt) | | `country` | string | `us` | Country for localized suggestions | | `expansions` | array | `["alphabet","questions"]` | Modifier sets: `alphabet`, `questions`, `prepositions` | #### Example input ```json { "seeds": ["invoicing app"], "language": "en", "country": "us", "expansions": ["alphabet", "questions"] } ```` ### Output ```json { "seed": "invoicing app", "keyword": "invoicing app for freelancers", "source": "invoicing app f", "language": "en", "country": "us" } ``` One seed typically yields **200+ unique keyword ideas**. ### FAQ **Is it free / no API key?** Yes — it uses Google's public Autocomplete endpoint. **Does it return search volume?** No — it returns keyword ideas (real suggested queries). Use a dedicated volume tool for numbers. **Can I research other languages?** Yes — set `language` and `country` (e.g. `de` / `de`). **How many keywords per seed?** Usually 150–300 depending on the niche and expansion sets. # Actor input Schema ## `seeds` (type: `array`): Base keywords to expand (e.g. 'invoicing app'). ## `language` (type: `string`): Autocomplete language code (en, de, fr, es, pt). ## `country` (type: `string`): Country code for localized suggestions (us, de, fr, gb). ## `expansions` (type: `array`): Which modifier sets to apply. ## Actor input object example ```json { "seeds": [ "invoicing app" ], "language": "en", "country": "us", "expansions": [ "alphabet", "questions" ] } ``` # 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 = { "seeds": [ "invoicing app" ] }; // Run the Actor and wait for it to finish const run = await client.actor("agency-shift/keyword-ideas-scout").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 = { "seeds": ["invoicing app"] } # Run the Actor and wait for it to finish run = client.actor("agency-shift/keyword-ideas-scout").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 '{ "seeds": [ "invoicing app" ] }' | apify call agency-shift/keyword-ideas-scout --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agency-shift/keyword-ideas-scout", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Keyword Ideas Scout — Autocomplete Expansion", "description": "Generate keyword ideas from Google Autocomplete, related searches, and PAA. Expand your keyword universe for SEO and content strategy planning.", "version": "0.0", "x-build-id": "Ff9vQtYedBgl0cLB7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agency-shift~keyword-ideas-scout/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agency-shift-keyword-ideas-scout", "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/agency-shift~keyword-ideas-scout/runs": { "post": { "operationId": "runs-sync-agency-shift-keyword-ideas-scout", "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/agency-shift~keyword-ideas-scout/run-sync": { "post": { "operationId": "run-sync-agency-shift-keyword-ideas-scout", "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": [ "seeds" ], "properties": { "seeds": { "title": "Seed keywords", "type": "array", "description": "Base keywords to expand (e.g. 'invoicing app').", "items": { "type": "string" } }, "language": { "title": "Language (hl)", "type": "string", "description": "Autocomplete language code (en, de, fr, es, pt).", "default": "en" }, "country": { "title": "Country (gl)", "type": "string", "description": "Country code for localized suggestions (us, de, fr, gb).", "default": "us" }, "expansions": { "title": "Expansion sets", "type": "array", "description": "Which modifier sets to apply.", "items": { "type": "string", "enum": [ "alphabet", "questions", "prepositions" ] }, "default": [ "alphabet", "questions" ] } } }, "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": 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"type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```