# LinkedIn Hiring Demand Signal Finder (`glowing_glove/linkedin-company-hiring-signal-lead-finder`) Actor Find public LinkedIn hiring-demand surfaces, role keywords, location signals, and evidence links without requiring a LinkedIn login. - **URL**: https://apify.com/glowing\_glove/linkedin-company-hiring-signal-lead-finder.md - **Developed by:** [Ushba Khan](https://apify.com/glowing_glove) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $18.00 / 1,000 analyzed hiring signals 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## LinkedIn Hiring Demand Signal Finder Find public LinkedIn hiring-demand surfaces, role keywords, location signals, and evidence links without requiring a LinkedIn login. ### Why use this actor? Use this actor when hiring activity is the sales trigger. It looks for public LinkedIn hiring surfaces that indicate role demand and turns them into role-focused evidence sources. The output is built for B2B sellers, recruiting agencies, and SaaS teams that need to know which role family is growing, what hiring signals appeared, and where to verify demand. ### Best for - Track hiring demand by role - Find public LinkedIn job-result evidence - Prioritize outreach by role demand - Monitor a niche for new sales signals ### Input Use `hiringQueries` with focused values that match this actor's purpose. Use role plus intent phrases such as `ai engineer hiring`, `revops manager hiring`, or `shopify developer hiring`. Good example inputs: - `ai engineer hiring` - `shopify developer hiring` For larger lead runs, group similar roles together, for example ten engineering roles or ten sales roles, so the exported lead sources are easier to compare. ### Output you get The dataset is intentionally compact and designed around this actor's actual buyer workflow. The most important fields are: - `hiringPriority` - `roleFamily` - `marketSignal` - `hiringSignals` - `hiringLeadSources` - `outreachAngle` Rows focus on hiring priority, role family, market signal, and verified hiring lead sources instead of generic search links. ### Practical workflow 1. Enter role or department hiring searches. 2. Review the role family and hiring priority. 3. Open the strongest hiring evidence pages. 4. Use the demand signals to decide which companies or markets deserve deeper qualification. ### Notes - Uses public LinkedIn job/company result surfaces and career-page fallbacks; it does not require or use a LinkedIn login. # Actor input Schema ## `hiringQueries` (type: `array`): LinkedIn Hiring Demand Signal Finder accepts focused inputs for this actor's exact job. Add up to 20 values. Good examples: ai engineer hiring, shopify developer hiring. ## `maxItems` (type: `integer`): Maximum top links/items included inside each result row. ## `requestTimeoutSecs` (type: `integer`): Timeout for each public source request in seconds. ## `maxConcurrency` (type: `integer`): How many inputs to process at the same time. ## `proxyConfiguration` (type: `object`): Optional Apify Proxy for websites that limit cloud traffic. ## Actor input object example ```json { "hiringQueries": [ "ai engineer hiring", "shopify developer hiring" ], "maxItems": 10, "requestTimeoutSecs": 20, "maxConcurrency": 4, "proxyConfiguration": { "useApifyProxy": false } } ```` # Actor output Schema ## `results` (type: `string`): No description ## `summary` (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 = { "hiringQueries": [ "ai engineer hiring", "shopify developer hiring" ] }; // Run the Actor and wait for it to finish const run = await client.actor("glowing_glove/linkedin-company-hiring-signal-lead-finder").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 = { "hiringQueries": [ "ai engineer hiring", "shopify developer hiring", ] } # Run the Actor and wait for it to finish run = client.actor("glowing_glove/linkedin-company-hiring-signal-lead-finder").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 '{ "hiringQueries": [ "ai engineer hiring", "shopify developer hiring" ] }' | apify call glowing_glove/linkedin-company-hiring-signal-lead-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=glowing_glove/linkedin-company-hiring-signal-lead-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Hiring Demand Signal Finder", "description": "Find public LinkedIn hiring-demand surfaces, role keywords, location signals, and evidence links without requiring a LinkedIn login.", "version": "1.0", "x-build-id": "mkR6uhkjq8Ti5JWKn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/glowing_glove~linkedin-company-hiring-signal-lead-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-glowing_glove-linkedin-company-hiring-signal-lead-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/glowing_glove~linkedin-company-hiring-signal-lead-finder/runs": { "post": { "operationId": "runs-sync-glowing_glove-linkedin-company-hiring-signal-lead-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/glowing_glove~linkedin-company-hiring-signal-lead-finder/run-sync": { "post": { "operationId": "run-sync-glowing_glove-linkedin-company-hiring-signal-lead-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "hiringQueries" ], "properties": { "hiringQueries": { "title": "Role or company hiring queries", "type": "array", "description": "LinkedIn Hiring Demand Signal Finder accepts focused inputs for this actor's exact job. Add up to 20 values. Good examples: ai engineer hiring, shopify developer hiring.", "items": { "type": "string" } }, "maxItems": { "title": "Max items per row", "minimum": 1, "maximum": 30, "type": "integer", "description": "Maximum top links/items included inside each result row.", "default": 10 }, "requestTimeoutSecs": { "title": "Request timeout", "minimum": 5, "maximum": 90, "type": "integer", "description": "Timeout for each public source request in seconds.", "default": 20 }, "maxConcurrency": { "title": "Concurrency", "minimum": 1, "maximum": 8, "type": "integer", "description": "How many inputs to process at the same time.", "default": 4 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify Proxy for websites that limit cloud traffic.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```