# Google Keyword Suggest. Long-Tail Keywords & Autocomplete (`seemuapps/google-keyword-suggest-scraper`) Actor Scrape Google autocomplete for any seed keyword. A–Z expansion, question modifiers, prefix expansion. Hundreds of long-tail keywords per seed, with country and language targeting. No API key. - **URL**: https://apify.com/seemuapps/google-keyword-suggest-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** SEO tools, Developer tools, Lead generation - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.80 / 1,000 keyword suggestion delivereds 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.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 Suggest — Long-Tail Keywords & Autocomplete Scrape Google autocomplete for any seed keyword — A–Z expansion, question modifiers, prefix expansion. Hundreds of long-tail keywords per seed, with country and language targeting. No API key. ### What you get - One row per autocomplete suggestion, deduplicated across all expansion queries - **Relevance score** for every suggestion (Google's internal ranking, 0–1300+) — sort by this for the most popular long-tails - **Country and language targeting** — get suggestions as a US English searcher, a UK searcher, a Brazilian Portuguese searcher, etc. - Five expansion modes — pick the volume / cost trade-off that fits your task - Direct export to JSON, CSV, Excel, or Google Sheets ### Use cases - **SEO content briefs** — feed a seed topic and get a question-keyword cluster ("how does X work", "what is X", …) for FAQ sections - **Long-tail keyword research** — surface 100s of low-competition phrases per topic without paying $99/mo for Ahrefs or AnswerThePublic - **PPC keyword discovery** — find buyer-intent modifiers (`buy X`, `X near me`, `X reviews`) by running suffix + prefix expansion - **Product/feature ideation** — pull all autocompletes for your product category to see what users actually ask - **AI/LLM seed data** — generate diverse query lists for evals, RAG benchmarks, or prompt-injection tests - **Trend tracking** — schedule a daily run and diff today's suggestions vs. yesterday's to spot emerging searches ### Expansion modes | Mode | What it fires | Queries per seed | |------|---------------|------------------| | `none` | Just the seed | 1 | | `suffix-a-z` | `seed`, `seed a`, `seed b`, … `seed z` | 27 | | `prefix-a-z` | `seed`, `a seed`, `b seed`, … `z seed` | 27 | | `both-a-z` | Suffix + prefix combined | 53 | | `questions` | Seed plus who/what/when/where/why/how/can/are/is/do/does/will/should/which | 15 | | `all` | Suffix + prefix + questions — maximum coverage | 67 | Each query returns up to 15 suggestions; deduplication usually leaves 100–300 unique long-tails per seed in `all` mode. ### How to use 1. Enter one or more **Seed keywords** (e.g. `crm software`, `personal trainer`, `kubernetes`) 2. Pick an **Expansion mode** — start with `suffix-a-z` (cheap, broad coverage) 3. Set **Country** and **Language** for geo/locale-targeted autocomplete (e.g. `us` + `en`, `br` + `pt`, `de` + `de`) 4. Set **Max items** (0 = no cap) and run 5. Sort the dataset by `relevance` descending — top hits are what real users search most ### Output format ```json { "seed": "crm software", "query": "crm software for", "suggestion": "crm software for small businesses", "relevance": 560, "type": "QUERY", "expansionType": "suffix-a-z", "expansionToken": "f", "country": "us", "language": "en", "fetchedAt": "2026-05-18T01:30:00.000Z" } ```` The `query` field is the exact string sent to Google (seed + the expansion token); `suggestion` is what Google returned. `relevance` is Google's internal ranking — higher = more searched. ### Input options | Field | Type | Description | |-------|------|-------------| | Seeds | array | One or more seed keywords | | Expansion mode | enum | `none` / `suffix-a-z` / `prefix-a-z` / `both-a-z` / `questions` / `all` | | Country | string | Two-letter country code (`us`, `uk`, `de`, `br`, `in`, …) | | Language | string | Two-letter language code (`en`, `es`, `pt`, `fr`, `de`, …) | | Max items | integer | Cap on suggestions across all seeds. 0 = no cap | ### Notes - Suggestions are deduplicated per seed (case-insensitive) - `type` is Google's classification of the suggestion — `QUERY` for normal searches, `NAVIGATION` for site jumps, `ENTITY` for known entities - Country and language combinations should be plausible (`gl=br hl=pt` works; `gl=br hl=ja` will fall back to defaults) # Actor input Schema ## `seeds` (type: `array`): One or more seed keywords to expand. Each seed produces up to ~200 long-tail suggestions depending on the expansion mode. ## `expansionMode` (type: `string`): How aggressively to expand each seed. 'All' fires ~66 queries per seed for the broadest harvest. ## `country` (type: `string`): Two-letter country code for Google geo-targeting (e.g. 'us', 'uk', 'de', 'br', 'in'). Suggestions are localized by country. ## `language` (type: `string`): Two-letter language code (e.g. 'en', 'es', 'pt', 'fr', 'de'). Suggestions are localized by language. ## `maxItems` (type: `integer`): Maximum suggestions to return across all seeds. 0 = no cap. ## Actor input object example ```json { "seeds": [ "crm software" ], "expansionMode": "suffix-a-z", "country": "us", "language": "en", "maxItems": 0 } ``` # Actor output Schema ## `results` (type: `string`): Fields: seed, query, suggestion, relevance, type, expansionType, expansionToken, country, language, fetchedAt. # 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": [ "crm software" ], "country": "us", "language": "en" }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/google-keyword-suggest-scraper").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": ["crm software"], "country": "us", "language": "en", } # Run the Actor and wait for it to finish run = client.actor("seemuapps/google-keyword-suggest-scraper").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": [ "crm software" ], "country": "us", "language": "en" }' | apify call seemuapps/google-keyword-suggest-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/google-keyword-suggest-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Keyword Suggest. Long-Tail Keywords & Autocomplete", "description": "Scrape Google autocomplete for any seed keyword. A–Z expansion, question modifiers, prefix expansion. Hundreds of long-tail keywords per seed, with country and language targeting. No API key.", "version": "1.0", "x-build-id": "gaz00wTetk2OZP9rC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~google-keyword-suggest-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-google-keyword-suggest-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~google-keyword-suggest-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-google-keyword-suggest-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~google-keyword-suggest-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-google-keyword-suggest-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "seeds" ], "properties": { "seeds": { "title": "Seed keywords", "type": "array", "description": "One or more seed keywords to expand. Each seed produces up to ~200 long-tail suggestions depending on the expansion mode.", "items": { "type": "string" } }, "expansionMode": { "title": "Expansion mode", "enum": [ "none", "suffix-a-z", "prefix-a-z", "both-a-z", "questions", "all" ], "type": "string", "description": "How aggressively to expand each seed. 'All' fires ~66 queries per seed for the broadest harvest.", "default": "suffix-a-z" }, "country": { "title": "Country", "type": "string", "description": "Two-letter country code for Google geo-targeting (e.g. 'us', 'uk', 'de', 'br', 'in'). Suggestions are localized by country.", "default": "us" }, "language": { "title": "Language", "type": "string", "description": "Two-letter language code (e.g. 'en', 'es', 'pt', 'fr', 'de'). Suggestions are localized by language.", "default": "en" }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Maximum suggestions to return across all seeds. 0 = no cap.", "default": 0 } } }, "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 } } } } } } } } } } ```