# API LinkedIn to HEM (`springboltx/api-linkedin-to-hem`) Actor Activate your hashed audiences. Email To HEM matches SHA-256 hashed emails against our identity graph, and returns verified plaintext addresses, so the audiences you built for ads can also fuel email sequences, CRM imports, and SDR outreach. Industry-leading match rates on a US-based identity graph. - **URL**: https://apify.com/springboltx/api-linkedin-to-hem.md - **Developed by:** [Springbolt X](https://apify.com/springboltx) (community) - **Categories:** Lead generation, Jobs - **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $100.00 / 1,000 linkedin to hem results 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 ### Resolve any LinkedIn URL into a hashed email (HEM) for privacy-safe activation in ad platforms and identity graphs Activate your hashed audiences. Email To HEM matches SHA-256 hashed emails against the Springbolt identity graph, and returns verified plaintext addresses, so the audiences you built for ads can also fuel email sequences, CRM imports, and SDR outreach. Industry-leading match rates on a US-based identity graph. ### Input Parameters | Field | Type | Description | |-------|------|-------------| | `linkedin_url` | String | The person's LinkedIn profile URL. | | `callback_url` | String | Webhook URL to receive async results | ### Input Sample ```json { "linkedin_url": "https://www.linkedin.com/in/john-doe", "callback_url": "https://webhook.site/your-id" } ```` ### Output Sample ```json { "success": true, "message": "The resolution has been processed. We will send the result to the callback URL you provided on completion.", "resolution": { "id": "res_4fd1e0dbde4ab7ea187eb94b316bc7c3", "status": "processing", "requested_at": "2026-05-26T10:50:16.335Z", "callback_url": "https://webhook.site/your-id" }, "payload": { "linkedin_url": "https://www.linkedin.com/in/john-doe", "callback_url": "https://webhook.site/your-id" } } ``` ### Callback Response Sample ```json { "success": true, "message": "Resolution successfully completed!", "resolution": { "id": "res_ab3fE5476E4a62Ea52bE7b2a206716b3", "status": "completed", "requested_at": "2026-05-26T13:17:17.229Z", "callback_url": "https://webhook.site/your-id" }, "lead": { "hashed_emails": [ { "email": "a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4", "type": "md5" }, { "email": "f6e5d4c3b2a1f6e5d4c3b2a1f6e5d4c3", "type": "md5" }, { "email": "b3c4d5e6f7a2b3c4d5e6f7a2b3c4d5e6", "type": "md5" } ], "linkedin_url": "linkedin.com/in/john-doe" }, "payload": { "linkedin_url": "https://www.linkedin.com/in/john-doe", "callback_url": "https://webhook.site/your-id" } } ``` ### 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 ## `linkedin_url` (type: `string`): Full LinkedIn profile URL. Example: https://www.linkedin.com/in/john-doe ## `callback_url` (type: `string`): Webhook URL to receive async results. ## Actor input object example ```json { "linkedin_url": "https://www.linkedin.com/in/john-doe", "callback_url": "https://your-webhook-url.com/callback" } ``` # 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 = { "linkedin_url": "https://www.linkedin.com/in/john-doe", "callback_url": "https://your-webhook-url.com/callback" }; // Run the Actor and wait for it to finish const run = await client.actor("springboltx/api-linkedin-to-hem").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 = { "linkedin_url": "https://www.linkedin.com/in/john-doe", "callback_url": "https://your-webhook-url.com/callback", } # Run the Actor and wait for it to finish run = client.actor("springboltx/api-linkedin-to-hem").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 '{ "linkedin_url": "https://www.linkedin.com/in/john-doe", "callback_url": "https://your-webhook-url.com/callback" }' | apify call springboltx/api-linkedin-to-hem --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=springboltx/api-linkedin-to-hem", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "API LinkedIn to HEM", "description": "Activate your hashed audiences. Email To HEM matches SHA-256 hashed emails against our identity graph, and returns verified plaintext addresses, so the audiences you built for ads can also fuel email sequences, CRM imports, and SDR outreach. Industry-leading match rates on a US-based identity graph.", "version": "0.0", "x-build-id": "74EMRwAh5C1cXkpcC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/springboltx~api-linkedin-to-hem/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-springboltx-api-linkedin-to-hem", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/springboltx~api-linkedin-to-hem/runs": { "post": { "operationId": "runs-sync-springboltx-api-linkedin-to-hem", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/springboltx~api-linkedin-to-hem/run-sync": { "post": { "operationId": "run-sync-springboltx-api-linkedin-to-hem", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "linkedin_url", "callback_url" ], "properties": { "linkedin_url": { "title": "LinkedIn Profile URL", "type": "string", "description": "Full LinkedIn profile URL. Example: https://www.linkedin.com/in/john-doe" }, "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 } } } } } } } } } } ```