# Keyword To Lead Count Building (`springboltx/keyword-to-lead-count-building`) Actor Plan campaigns with confidence. Keyword To Lead Count returns the volume of resolvable leads for any keyword batch in seconds — so media buyers and SDR leaders can validate audience size, refine keyword strategy, and forecast pipeline before committing to a full enrichment run. - **URL**: https://apify.com/springboltx/keyword-to-lead-count-building.md - **Developed by:** [Springbolt X](https://apify.com/springboltx) (community) - **Categories:** Lead generation - **Stats:** 4 total users, 3 monthly users, 43.5% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $40.00 / 1,000 ktl count buildings 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 ### Pre-flight audience sizing. Get hashed-email match counts for any keyword set before activation: no commit, no charge per lead. Plan campaigns with confidence. Keyword-to-Lead Count returns the volume of resolvable hashed-email leads for any keyword batch in seconds, so media buyers and SDR leaders can validate audience size, refine keyword strategy, and forecast pipeline before committing to a full enrichment run. Ideal for testing competitor terms, evaluating long-tail keywords, and right-sizing ad spend. ### Input Parameters | Field | Type | Description | |-------|------|-------------| | `keywords` | Array | Keywords to search | | `date_start` | String | Start date (YYYY-MM-DD) | | `date_end` | String | End date (YYYY-MM-DD) | | `lead_type` | String | `b2b` or `b2c` | | `cities` | Array | Filter by cities | | `states` | Array | Filter by states | | `zips` | Array | Filter by ZIP codes | | `callback_url` | String | Webhook URL for async results | `keywords`, `date_start`, and `date_end` are required. ### Input Sample ```json { "keywords": ["b2b intent", "hvac services"], "date_start": "2026-05-19", "date_end": "2026-05-26", "lead_type": "b2b", "cities": ["Austin", "Dallas"], "states": ["TX"], "zips": ["73301", "75001"], "callback_url": "https://your-webhook-url.com/callback" } ```` ### Output Sample ```json { "success": true, "message": "Resolution successfully completed!", "resolution": { "id": "res_f71dKdd9fK447bK8bffKee4d6c4037f1", "status": "completed", "requested_at": "2026-05-26T12:29:29.932Z", "callback_url": "https://your-webhook-url.com/callback" }, "result": { "resolution_id": "res_e61183e78846e58932a8b6fcd09f7b52", "input": { "keywords": [ "b2b intent", "hvac services" ], "date_start": "2026-05-19T00:00:00.000Z", "date_end": "2026-05-26T00:00:00.000Z", "lead_type": "B2B", "cities": [ "Austin", "Dallas" ], "states": [ "TX" ], "zips": [ "73301", "75001" ], "deanonymize": false }, "count": { "emails_hashed": 247 } } } ``` ### About [Springbolt X](https://springboltx.com/) is a data intelligence platform offering APIs for lead enrichment, deanonymization, IP resolution, LinkedIn data, and more. # Actor input Schema ## `keywords` (type: `array`): List of keywords to search. Example: \["b2b intent", "hvac services"] ## `date_start` (type: `string`): Start date in YYYY-MM-DD format. Maximum range is 7 days. ## `date_end` (type: `string`): End date in YYYY-MM-DD format. Must be within 7 days of Date Start. ## `lead_type` (type: `string`): Type of leads: b2b or b2c ## `cities` (type: `array`): Filter by cities. Example: \["Austin", "Dallas"] ## `states` (type: `array`): Filter by states. Example: \["TX"] ## `zips` (type: `array`): Filter by ZIP codes. Example: \["73301", "75001"] ## `callback_url` (type: `string`): Webhook URL to receive async results. ## Actor input object example ```json { "keywords": [ "b2b intent", "hvac services" ], "date_start": "2026-06-08", "date_end": "2026-06-15", "lead_type": "b2b", "cities": [ "Austin", "Dallas" ], "states": [ "TX" ], "zips": [ "73301", "75001" ] } ``` # Actor output Schema ## `results` (type: `string`): No description # 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": [ "b2b intent", "hvac services" ], "date_start": "2026-06-08", "date_end": "2026-06-15", "lead_type": "b2b", "cities": [ "Austin", "Dallas" ], "states": [ "TX" ], "zips": [ "73301", "75001" ] }; // Run the Actor and wait for it to finish const run = await client.actor("springboltx/keyword-to-lead-count-building").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": [ "b2b intent", "hvac services", ], "date_start": "2026-06-08", "date_end": "2026-06-15", "lead_type": "b2b", "cities": [ "Austin", "Dallas", ], "states": ["TX"], "zips": [ "73301", "75001", ], } # Run the Actor and wait for it to finish run = client.actor("springboltx/keyword-to-lead-count-building").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": [ "b2b intent", "hvac services" ], "date_start": "2026-06-08", "date_end": "2026-06-15", "lead_type": "b2b", "cities": [ "Austin", "Dallas" ], "states": [ "TX" ], "zips": [ "73301", "75001" ] }' | apify call springboltx/keyword-to-lead-count-building --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=springboltx/keyword-to-lead-count-building", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Keyword To Lead Count Building", "description": "Plan campaigns with confidence. Keyword To Lead Count returns the volume of resolvable leads for any keyword batch in seconds — so media buyers and SDR leaders can validate audience size, refine keyword strategy, and forecast pipeline before committing to a full enrichment run.", "version": "0.0", "x-build-id": "VOXHCqWvnXsP6rtAn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/springboltx~keyword-to-lead-count-building/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-springboltx-keyword-to-lead-count-building", "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/springboltx~keyword-to-lead-count-building/runs": { "post": { "operationId": "runs-sync-springboltx-keyword-to-lead-count-building", "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/springboltx~keyword-to-lead-count-building/run-sync": { "post": { "operationId": "run-sync-springboltx-keyword-to-lead-count-building", "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", "date_start", "date_end" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "List of keywords to search. Example: [\"b2b intent\", \"hvac services\"]", "default": [ "b2b intent", "hvac services" ] }, "date_start": { "title": "Date Start", "type": "string", "description": "Start date in YYYY-MM-DD format. Maximum range is 7 days.", "default": "2026-06-08" }, "date_end": { "title": "Date End", "type": "string", "description": "End date in YYYY-MM-DD format. Must be within 7 days of Date Start.", "default": "2026-06-15" }, "lead_type": { "title": "Lead Type", "type": "string", "description": "Type of leads: b2b or b2c", "default": "b2b" }, "cities": { "title": "Cities", "type": "array", "description": "Filter by cities. Example: [\"Austin\", \"Dallas\"]", "default": [ "Austin", "Dallas" ] }, "states": { "title": "States", "type": "array", "description": "Filter by states. Example: [\"TX\"]", "default": [ "TX" ] }, "zips": { "title": "ZIP Codes", "type": "array", "description": "Filter by ZIP codes. Example: [\"73301\", \"75001\"]", "default": [ "73301", "75001" ] }, "callback_url": { "title": "Callback URL", "type": "string", "description": "Webhook URL to receive async results." } } }, "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 } } } } } } } } } } ```