# Google Keyword Ideas Generator (`opspilot.cc/keyword-ideas-generator`) Actor Get keyword ideas from Google based on seed keywords. Returns search volume, CPC, competition, trends, and more. - **URL**: https://apify.com/opspilot.cc/keyword-ideas-generator.md - **Developed by:** [wang wei](https://apify.com/opspilot.cc) (community) - **Categories:** E-commerce, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Google Keyword Ideas Generator Get keyword ideas from Google based on seed keywords. Returns search volume, CPC, competition data, 12-month trends, and more. ### Features - **200 seed keywords** per request - **Search volume** data with 12-month trends - **CPC & competition** metrics - **SERP info** (optional) - **Search intent** classification - **Fuzzy location/language matching** - type "USA" or "United States" - **Free tier**: 5 runs per day ### How It Works Based on the official description, the Keyword Ideas endpoint returns search terms that belong to the same product/service categories as the seed keywords, even if they do not contain the seed words themselves. It uses a relevance‑based, category‑matching algorithm. ### Input | Field | Type | Description | |-------|------|-------------| | `keywords` | array (stringList) | Seed keywords (max 200) | | `location_name` | textfield | Target location (e.g., "United States", "UK") | | `language_name` | textfield | Target language (e.g., "English", "Spanish") | | `limit` | number | Max results (1-1000, default 100) | | `include_serp_info` | checkbox | Include SERP data | | `closely_variants` | checkbox | Use phrase-match algorithm | ### Location Support Fuzzy matching supports: - Full names: "United States", "United Kingdom" - Abbreviations: "USA", "UK", "GB", "US" - Common names: "Holland" → Netherlands ### Language Support Fuzzy matching supports: - Full names: "English", "Spanish", "German" - Abbreviations: "ENG", "SPA", "DEU" ### Output | Field | Type | Description | |-------|------|-------------| | `keyword` | string | Keyword idea | | `search_volume` | integer | Monthly search volume | | `cpc` | number | Cost per click (USD) | | `competition` | number | Competition index (0-1) | | `competition_level` | string | low/medium/high | | `low_top_of_page_bid` | number | Low bid for top of page (USD) | | `high_top_of_page_bid` | number | High bid for top of page (USD) | | `monthly_trend` | integer | Monthly trend indicator | | `search_intent` | string | informational/navigational/commercial/transactional | | `word_count` | integer | Number of words | | `keyword_difficulty` | integer | Keyword difficulty score (0-100) | | `core_keyword` | string | Core keyword | ### Primary Use Cases | Scenario | Description | |---------|-------------| | Topic Clustering & Content Pillars | Discover semantically related keywords that do not share the exact seed phrase but belong to the same thematic category. Ideal for building topic clusters around a core theme (e.g., seed "content marketing" → get "SEO audit checklist", "email automation tools"). | | Competitor Gap Analysis | Find keywords your competitors rank for (in the same category) that you haven't thought of, especially those that don't contain your typical brand or product terms. | | New Market Opportunity Discovery | Explore adjacent product / service categories. For example, seed "running shoes" might return "orthotic insoles" or "marathon training plans" – revealing cross‑sell or content expansion opportunities. | | PPC Expansion Beyond Exact Match | Identify low‑competition, high‑intent keywords that are not direct variants of your seed but share the same commercial category. Useful for discovery campaigns in Google Ads. | | SEO for Broad‑Topic Websites | For websites covering a broad domain (e.g., "digital marketing"), the endpoint helps find all relevant subtopics without being limited to keywords containing the seed. | | Initial Brainstorming for New Projects | When you have a vague idea of a niche (e.g., "plant-based diet"), the endpoint quickly generates a diverse set of category‑related terms (e.g., "vegan protein sources", "meat substitutes recipes", "plant-based meal delivery"). | ### Target Audience | Persona | Why They Use It | |---------|----------------| | SEO Strategists | To build comprehensive topic maps, find hidden content gaps, and optimise for semantic search (not just exact‑match keywords). | | Content Marketers | To generate fresh content ideas that stay relevant to the core theme but attract different search intents (informational, commercial, etc.). | | PPC Specialists | To expand keyword lists for Discovery or Performance Max campaigns where broad‑match category discovery drives incremental traffic. | | Product Managers | To understand what related products or services users search for when they are interested in the seed category. | | E‑commerce Owners | To find cross‑category search terms (e.g., seed "wireless headphones" → "bluetooth adapters", "headphone stands") that can increase average order value. | | Agency Analysts | To perform fast, scalable keyword landscape analysis for multiple client niches without manually guessing long‑tail variants. | | Startup Founders | To validate market demand for a concept by exploring all category‑adjacent search behaviours before building a product. | ### Comparison with Keyword Suggestions Use **Keyword Ideas** when you want broad category exploration – you don't require the seed phrase to appear in the results. Use **Keyword Suggestions** when you need exact‑phrase centric long‑tail expansion – every result contains the seed keyword (or its word order variant). ### Example **Input:** ```json { "keywords": ["keyword research", "content marketing"], "location_name": "United States", "language_name": "English", "limit": 10 } ```` **Output (Note: no additional sorting parameters applied, "closely\_variants" set to false):** - "free adword tools" - "find longtail keywords" - "how to do keywords research" - "seo keyword research template" # Actor input Schema ## `keywords` (type: `array`): Array of seed keywords (up to 200 keywords). The API will return keywords in the same product/service categories. ## `location_name` (type: `string`): Target location name (e.g., 'United States', 'UK', 'Germany'). Supports fuzzy matching. ## `language_name` (type: `string`): Target language name (e.g., 'English', 'Spanish', 'French'). Supports fuzzy matching. ## `limit` (type: `integer`): Maximum number of keyword ideas to return (1-1000, default 100). ## `include_serp_info` (type: `boolean`): Include SERP info (types of search results, number of results, etc.) for each keyword. ## `closely_variants` (type: `boolean`): If true, results use phrase-match algorithm. If false (default), broad-match algorithm is used. ## Actor input object example ```json { "keywords": [ "keyword research", "content marketing", "SEO tools" ], "location_name": "United States", "language_name": "English", "limit": 100, "include_serp_info": false, "closely_variants": false } ``` # Actor output Schema ## `serpData` (type: `string`): Dataset containing keyword ideas with search volume, CPC, competition, and trends # 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": [ "keyword research", "content marketing", "SEO tools" ] }; // Run the Actor and wait for it to finish const run = await client.actor("opspilot.cc/keyword-ideas-generator").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 = { "keywords": [ "keyword research", "content marketing", "SEO tools", ] } # Run the Actor and wait for it to finish run = client.actor("opspilot.cc/keyword-ideas-generator").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 '{ "keywords": [ "keyword research", "content marketing", "SEO tools" ] }' | apify call opspilot.cc/keyword-ideas-generator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=opspilot.cc/keyword-ideas-generator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Keyword Ideas Generator", "description": "Get keyword ideas from Google based on seed keywords. Returns search volume, CPC, competition, trends, and more.", "version": "0.1", "x-build-id": "r4GdgY9t07ILhgQq8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/opspilot.cc~keyword-ideas-generator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-opspilot.cc-keyword-ideas-generator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/opspilot.cc~keyword-ideas-generator/runs": { "post": { "operationId": "runs-sync-opspilot.cc-keyword-ideas-generator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/opspilot.cc~keyword-ideas-generator/run-sync": { "post": { "operationId": "run-sync-opspilot.cc-keyword-ideas-generator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Seed Keywords", "maxItems": 200, "type": "array", "description": "Array of seed keywords (up to 200 keywords). The API will return keywords in the same product/service categories.", "items": { "type": "string" } }, "location_name": { "title": "Location", "type": "string", "description": "Target location name (e.g., 'United States', 'UK', 'Germany'). Supports fuzzy matching.", "default": "United States" }, "language_name": { "title": "Language", "type": "string", "description": "Target language name (e.g., 'English', 'Spanish', 'French'). Supports fuzzy matching.", "default": "English" }, "limit": { "title": "Results Limit", "type": "integer", "description": "Maximum number of keyword ideas to return (1-1000, default 100).", "default": 100 }, "include_serp_info": { "title": "Include SERP Data", "type": "boolean", "description": "Include SERP info (types of search results, number of results, etc.) for each keyword.", "default": false }, "closely_variants": { "title": "Closely Related Variants", "type": "boolean", "description": "If true, results use phrase-match algorithm. If false (default), broad-match algorithm is used.", "default": false } } }, "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 } } } } } } } } } } ```