# Bing Keywords Discovery Tool (`searchapi/bing-keywords-discovery-tool`) Actor Discover untapped keywords using Bing search autocomplete suggestions. Expands seed keywords with alphabet, number, and question variations to uncover long-tail keywords. Perfect for SEO, content strategy, and market research. - **URL**: https://apify.com/searchapi/bing-keywords-discovery-tool.md - **Developed by:** [Search API](https://apify.com/searchapi) (community) - **Categories:** Lead generation, Other, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 bing keywords discovery tool 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 ## Bing Keywords Discovery Tool ### What is this tool? Bing Keywords Discovery Tool helps you collect keywords data from Bing (Microsoft's search engine). Just type in a seed keyword (your main topic), and the tool will expand it in different ways to discover hundreds of related keywords that people are actually searching for. ### What can you use it for? - Discover new keyword ideas - Find long-tail keywords for content - Build keyword lists for SEO and ads - Identify trending topics and search patterns ### What data do you get? Each result includes up to **27 fields**, organized into the following categories: **Identity** (5 fields): Type, Result Type, Position, Expansion Type (alphabet | question | number | none), Suggestion Type (AS, LS, …) **URLs** (2 fields): Suggestion URL (the URL on Bing that would be visited), Search URL (the URL to search for the keyword) **Ratings** (2 fields): Relevance Score (higher = more relevant), Relevance Score (0-1 normalized) **Engagement** (1 fields): Word Count **Location** (2 fields): Is Long-Tail (4+ words), Country (e.g. US) **Dates & Duration** (2 fields): Starts With Seed, Ends With Seed **Source** (1 fields): Source Query (the query that produced this suggestion) **Search Context** (7 fields): Keyword, Suggestion (alias of keyword), Seed Keyword, Keyword Length (chars), Market (e.g. en-US), Language (e.g. en), Search Metadata **Other** (5 fields): Expansion (e.g. 'a', 'b', ..., 'how', 'what'), Is Question, Is Exact Seed (suggestion equals seed), Contains Seed, Scraped At (ISO 8601) ### How to use it #### Step 1: Enter your search Type in a single keyword (e.g., "machine learning") or a list of keywords that you want to expand. #### Step 2: Set your preferences Adjust the options below to customize your search. #### Step 3: Run the tool Click the run button and wait for your results. The tool will gather all the data and save it in a clean, organized format. ### Input options | Option | What it means | Required | Default | |--------|---------------|----------|---------| | **Seed Keyword** | A single seed keyword. Use 'keywords' for multiple seeds. | No | content marketing | | **Seed Keywords (multiple)** | Array of seed keywords to discover autocomplete suggestions for. | No | — | | **Market** | Bing market code (e.g. en-US, en-GB, en-IN, de-DE). | No | en-US | | **Expand with Alphabet (a-z, 0-9)** | Appends a-z and 0-9 to the seed keyword to discover long-tail keywords. | No | true | | **Expand with Questions** | Prepends question words (how, what, why, when, where, who, etc.) to the seed keyword. | No | false | | **Max Keywords** | Max unique keywords to return. | No | 200 | ### Output Your results come in a clean, organized table with **two views**: #### Overview view Shows the most important fields at a glance: - **Position** - **Keyword** - **Relevance Score (higher = more relevant)** - **Suggestion Type (AS, LS, …)** - **Expansion (e.g. 'a', 'b', ..., 'how', 'what')** - **Expansion Type (alphabet | question | number | none)** - **Seed Keyword** - **Market (e.g. en-US)** - **Search URL (the URL to search for the keyword)** - **Scraped At (ISO 8601)** #### Full details view Shows all 27 fields in detail. See "What data do you get?" above for the complete list. ### Tips for best results ✅ **Be specific** with your search terms for more relevant results ✅ **Try different variations** of your search term to discover more results ✅ **Use multiple expansion types** to get a wider variety of keywords ### Frequently asked questions **Why use Bing?** Bing is Microsoft's search engine and the second-largest search engine in the world. It often returns different results than Google, giving you a wider variety of websites and perspectives. **How do I get the results?** Your results are saved in your Apify dashboard. You can download them in various formats (JSON, CSV, Excel) or access them via the API. **Can I run it on a schedule?** Yes! Apify supports scheduled runs. You can set up the tool to run automatically at any interval (hourly, daily, weekly, etc.) from your dashboard. **What if I get fewer results than I asked for?** This can happen if the search engine doesn't have enough matching results for your search, or if some results are blocked. Try different keywords or relax your filters. **Need more help?** If you have questions or run into issues, our support team is ready to help. Just reach out through the Apify platform and we'll get back to you quickly. # Actor input Schema ## `keyword` (type: `string`): A single seed keyword. Use 'keywords' for multiple seeds. ## `keywords` (type: `array`): Array of seed keywords to discover autocomplete suggestions for. ## `market` (type: `string`): Bing market code (e.g. en-US, en-GB, en-IN, de-DE). ## `expandAlphabet` (type: `boolean`): Appends a-z and 0-9 to the seed keyword to discover long-tail keywords. ## `expandQuestions` (type: `boolean`): Prepends question words (how, what, why, when, where, who, etc.) to the seed keyword. ## `maxKeywords` (type: `integer`): Maximum number of unique keywords to return. ## Actor input object example ```json { "keyword": "content marketing", "keywords": [ "content marketing", "email marketing" ], "market": "en-US", "expandAlphabet": true, "expandQuestions": false, "maxKeywords": 200 } ```` # 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 = { "keyword": "content marketing" }; // Run the Actor and wait for it to finish const run = await client.actor("searchapi/bing-keywords-discovery-tool").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 = { "keyword": "content marketing" } # Run the Actor and wait for it to finish run = client.actor("searchapi/bing-keywords-discovery-tool").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 '{ "keyword": "content marketing" }' | apify call searchapi/bing-keywords-discovery-tool --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=searchapi/bing-keywords-discovery-tool", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bing Keywords Discovery Tool", "description": "Discover untapped keywords using Bing search autocomplete suggestions. Expands seed keywords with alphabet, number, and question variations to uncover long-tail keywords. Perfect for SEO, content strategy, and market research.", "version": "2.0", "x-build-id": "ePHOuVAnjzvCK3EZ1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/searchapi~bing-keywords-discovery-tool/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-searchapi-bing-keywords-discovery-tool", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/searchapi~bing-keywords-discovery-tool/runs": { "post": { "operationId": "runs-sync-searchapi-bing-keywords-discovery-tool", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/searchapi~bing-keywords-discovery-tool/run-sync": { "post": { "operationId": "run-sync-searchapi-bing-keywords-discovery-tool", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keyword": { "title": "Seed Keyword", "type": "string", "description": "A single seed keyword. Use 'keywords' for multiple seeds." }, "keywords": { "title": "Seed Keywords (multiple)", "type": "array", "description": "Array of seed keywords to discover autocomplete suggestions for.", "items": { "type": "string" } }, "market": { "title": "Market", "type": "string", "description": "Bing market code (e.g. en-US, en-GB, en-IN, de-DE).", "default": "en-US" }, "expandAlphabet": { "title": "Expand with Alphabet (a-z, 0-9)", "type": "boolean", "description": "Appends a-z and 0-9 to the seed keyword to discover long-tail keywords.", "default": true }, "expandQuestions": { "title": "Expand with Questions", "type": "boolean", "description": "Prepends question words (how, what, why, when, where, who, etc.) to the seed keyword.", "default": false }, "maxKeywords": { "title": "Max Keywords", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of unique keywords to return.", "default": 200 } } }, "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 } } } } } } } } } } ```