# 🔍 Long-Tail Keyword Discovery - PPE (`powerai/long-tail-keyword-discovery---ppe`) Actor Harness the power of AI to discover high-potential long-tail keywords for your SEO strategy. Get comprehensive keyword analysis with search volume, competition metrics, and ranking difficulty in multiple formats (PDF, HTML, Markdown). - **URL**: https://apify.com/powerai/long-tail-keyword-discovery---ppe.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** Agents, AI, SEO tools - **Stats:** 4 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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 ## 🔍 Long-Tail Keyword Discovery(Rental) Transform your SEO strategy with AI-powered long-tail keyword research! This intelligent tool analyzes your topic and generates comprehensive lists of valuable long-tail keywords, complete with essential metrics and actionable insights. Two versions for choice: | **Pay Model** | **Pricing** | |---------------------------------------------------------------------------------------|-------------------------| | [**Rental**](https://apify.com/powerai/long-tail-keyword-discovery-rental) | $19.99/month(no limit) | | [**Pay-per-event**](https://apify.com/powerai/long-tail-keyword-discovery) | $3.99/event | ### ✨ Key Features - 🎯 Comprehensive long-tail keyword analysis - 📊 Search volume metrics for each keyword - 🔄 Competition level assessment - 📈 Ranking difficulty evaluation - 🎨 Multi-format reports (PDF, HTML, Markdown) - 💡 Search intent analysis - 📱 User-friendly structured output - 🚀 SEO-optimized recommendations ### 💪 Why Choose This Actor? - **Data-Driven**: Generates keywords based on real search patterns and trends - **Comprehensive**: Provides detailed metrics for informed decision-making - **Strategic**: Focuses on high-potential, low-competition keywords - **Multi-Format**: Delivers results in three convenient formats - **Time-Saving**: Automates the keyword research process - **SEO-Focused**: Optimized for organic search success ### 🎯 Perfect For - 📝 Content Creators - 🌐 SEO Specialists - 💼 Digital Marketers - 🏢 Business Owners - 📊 Marketing Agencies - 🎨 Bloggers and Writers ### 📈 Use Cases 1. **Content Strategy Planning**: Discover untapped keyword opportunities 2. **SEO Optimization**: Identify low-competition, high-value keywords 3. **Blog Topic Research**: Generate content ideas with search potential 4. **Market Analysis**: Understand user search behavior and intent 5. **Competitive Research**: Find keyword gaps in your market 6. **Content Calendar Planning**: Build content strategies around proven keywords ### 📝 Input Requirements Simply provide your main topic, and the AI will handle the rest: - Core topic or niche - The tool will automatically analyze and generate relevant long-tail keywords ### 📊 Output Receive comprehensive reports in three formats: 1. **HTML Report**: Interactive web-friendly format 2. **PDF Report**: Professional document for presentations 3. **Markdown Report**: Easy-to-edit format for content management #### Input Example ```json { "topic": "organic gardening tips" } ```` #### Output Example ```json { "input": { "topic": "organic gardening tips" }, "htmlFile": "https://api.apify.com/v2/key-value-stores/null/records/long-tail-keyword-discovery-2025-04-04-15-50-38.html", "pdfFile": "https://api.apify.com/v2/key-value-stores/null/records/long-tail-keyword-discovery-2025-04-04-15-50-38.pdf", "markdownFile": "https://api.apify.com/v2/key-value-stores/null/records/long-tail-keyword-discovery-2025-04-04-15-50-38.md" } ``` #### Example Screenshots ![Example](https://i.imgur.com/gdnF8Lq.png) # Actor input Schema ## `topic` (type: `string`): The main topic for keyword research ## Actor input object example ```json { "topic": "organic gardening tips" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("powerai/long-tail-keyword-discovery---ppe").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 = {} # Run the Actor and wait for it to finish run = client.actor("powerai/long-tail-keyword-discovery---ppe").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 '{}' | apify call powerai/long-tail-keyword-discovery---ppe --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=powerai/long-tail-keyword-discovery---ppe", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🔍 Long-Tail Keyword Discovery - PPE", "description": "Harness the power of AI to discover high-potential long-tail keywords for your SEO strategy. Get comprehensive keyword analysis with search volume, competition metrics, and ranking difficulty in multiple formats (PDF, HTML, Markdown).", "version": "0.0", "x-build-id": "ZiGxfesiFit1LVwz7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/powerai~long-tail-keyword-discovery---ppe/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-powerai-long-tail-keyword-discovery---ppe", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/powerai~long-tail-keyword-discovery---ppe/runs": { "post": { "operationId": "runs-sync-powerai-long-tail-keyword-discovery---ppe", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/powerai~long-tail-keyword-discovery---ppe/run-sync": { "post": { "operationId": "run-sync-powerai-long-tail-keyword-discovery---ppe", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "topic" ], "properties": { "topic": { "title": "Topic", "type": "string", "description": "The main topic for keyword research", "default": "organic gardening tips" } } }, "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 } } } } } } } } } } ```