# Linkedin Hiring Companies Tracker (`hodayfaell/linkedin-hiring-companies-tracker`) Actor Input a job title, get every company actively hiring for that role on LinkedIn right now. Perfect for recruiters, B2B sales prospecting, and hiring-trend research. Aggregates companies by open role count. - **URL**: https://apify.com/hodayfaell/linkedin-hiring-companies-tracker.md - **Developed by:** [Hodayfa El Hazbi](https://apify.com/hodayfaell) (community) - **Categories:** Lead generation, Jobs, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 ## LinkedIn Hiring Companies Tracker > **Input a job title → get every company actively hiring for that role right now.** This Apify Actor performs reverse intent-discovery on LinkedIn's public job search. Instead of searching for a specific company, you search for a role ("Sales Manager", "Marketing", "DevOps Engineer") and receive a ranked list of every company on LinkedIn that is currently hiring for it — sorted by the number of open roles, so the most aggressively hiring companies appear first. --- ### What It Does 1. Searches LinkedIn's **public guest job search** (no login required) for one or more job titles 2. Paginates through results up to your specified limit 3. Extracts structured data from every job card 4. **Aggregates all postings by company** — the headline output is a deduplicated company list with open role counts, matched titles, locations, and sample job URLs --- ### The Killer Use Case **Intent-based B2B prospecting and recruiting lead-gen.** When a company is actively hiring for "Sales Manager", it signals growth, budget allocation, a scaling team, and a near-term organizational change. This is one of the strongest buying intent signals in B2B sales. - **Staffing agencies**: Find every company in your market that needs to fill roles you specialize in - **Sales tool vendors**: Companies hiring many salespeople are about to buy sales enablement, CRM, or training tools - **B2B SaaS companies**: Identify expansion-stage companies by their hiring patterns before they appear in funding databases - **Hiring-trend researchers**: Track which industries are growing which roles over time --- ### Input Parameters | Parameter | Type | Default | Description | |---|---|---|---| | `jobTitles` | `string[]` | `["Sales Manager"]` | One or more job titles/keywords to search. Each is searched separately. | | `location` | `string` | `"United States"` | LinkedIn location text (city, country, or region). | | `maxJobsPerTitle` | `integer` | `200` | Max job postings to collect per title. Min 1, max 1000. | | `datePosted` | `string` | `"pastMonth"` | Filter by posting date: `any`, `past24h`, `pastWeek`, `pastMonth`. | | `experienceLevel` | `string[]` | *(all)* | Optional filter: `internship`, `entry`, `associate`, `mid-senior`, `director`, `executive`. | | `workType` | `string[]` | *(all)* | Optional filter: `onsite`, `remote`, `hybrid`. | | `outputMode` | `string` | `"both"` | `companies` = company list only; `jobs` = every posting; `both` = jobs in dataset + company summary in key-value store. | | `proxyConfiguration` | `object` | Apify RESIDENTIAL (US) | Proxy settings. Residential proxies required — LinkedIn blocks datacenter IPs. | #### Example Input ```json { "jobTitles": ["Sales Manager", "Account Executive"], "location": "United States", "maxJobsPerTitle": 500, "datePosted": "pastWeek", "workType": ["remote", "hybrid"], "outputMode": "both" } ```` *** ### Output #### Dataset — Individual Job Postings | Field | Type | Description | |---|---|---| | `jobTitle` | string | The search keyword used | | `postingTitle` | string | Actual job title on the posting | | `companyName` | string | Hiring company name | | `companyUrl` | string | LinkedIn company page URL | | `companyLinkedInId` | string | Company slug from LinkedIn URL | | `location` | string | Job location | | `postedDate` | string | ISO 8601 date (e.g. `2024-06-05`) | | `jobUrl` | string | Canonical LinkedIn job posting URL | | `jobId` | string | LinkedIn's numeric job ID | | `isPromoted` | boolean | Whether the posting is promoted/sponsored | | `salaryText` | string | Salary range if visible on the public card | ##### Example Job Row ```json { "jobTitle": "Sales Manager", "postingTitle": "Regional Sales Manager", "companyName": "Acme Corp", "companyUrl": "https://www.linkedin.com/company/acme-corp", "companyLinkedInId": "acme-corp", "location": "Austin, TX", "postedDate": "2024-06-04", "jobUrl": "https://www.linkedin.com/jobs/view/regional-sales-manager-at-acme-corp-1234567890", "jobId": "1234567890", "isPromoted": false, "salaryText": "$80,000 - $120,000/yr" } ``` *** #### Key-Value Store — Aggregated Company Summary (`COMPANIES`) When `outputMode` is `"companies"` or `"both"`, the actor saves an aggregated company list to the key-value store under the key `COMPANIES`. Companies are sorted by `openRolesCount` descending. | Field | Type | Description | |---|---|---| | `companyName` | string | Company name | | `companyUrl` | string | LinkedIn company page URL | | `companyLinkedInId` | string | Company slug | | `openRolesCount` | integer | Total matching job postings found | | `matchedTitles` | string\[] | All distinct posting titles seen | | `searchedKeywords` | string\[] | Which search keywords matched this company | | `locations` | string\[] | All distinct locations seen | | `firstSeen` | string | ISO date of earliest posting found | | `mostRecentPosting` | string | ISO date of most recent posting found | | `sampleJobUrls` | string\[] | Up to 5 job URL samples | ##### Example Company Row ```json { "companyName": "Salesforce", "companyUrl": "https://www.linkedin.com/company/salesforce", "companyLinkedInId": "salesforce", "openRolesCount": 12, "matchedTitles": ["Account Executive", "Sales Manager", "Senior Account Executive"], "searchedKeywords": ["Sales Manager", "Account Executive"], "locations": ["San Francisco, CA", "New York, NY", "Remote"], "firstSeen": "2024-05-20", "mostRecentPosting": "2024-06-07", "sampleJobUrls": [ "https://www.linkedin.com/jobs/view/account-executive-at-salesforce-1111111111", "https://www.linkedin.com/jobs/view/sales-manager-at-salesforce-2222222222" ] } ``` *** ### Use Cases #### 1. Staffing Agency Client Acquisition Find every company actively recruiting for the roles your agency specializes in. The company list is pre-sorted by hiring volume — your highest-value prospects are at the top. #### 2. B2B Sales Intent Prospecting Identify companies showing hiring growth signals before they appear in funding databases or news. A company hiring 10 sales reps is about to spend on CRM, sales enablement, and training tools. #### 3. Sales Tool & SaaS Vendors Companies hiring for "Data Analyst" or "Marketing Manager" are high-intent buyers for analytics platforms, marketing automation, and productivity tools. #### 4. Hiring Trend Research Track week-over-week hiring patterns by industry, role, and location. Detect economic signals early. #### 5. Competitive Intelligence See which competitors are scaling which functions — sales, engineering, customer success — and in which markets. *** ### Pricing **Pricing model: Pay per event** | Event | Price | |---|---| | Actor start | $0.00005 (one-time per run) | | Per result | $0.001 | **Total cost per run** (result fee + platform usage): | Results collected | Actor cost | Approx. total | |---|---|---| | 25 jobs (1 page test) | $0.025 | ~$0.03 | | 100 jobs | $0.10 | ~$0.11 | | 500 jobs | $0.50 | ~$0.55 | | 1,000 jobs | $1.00 | ~$1.10 | | 5,000 jobs | $5.00 | ~$5.50 | *Platform usage (compute + proxy) is billed separately by Apify and varies by plan. Residential proxy usage adds cost depending on your Apify plan proxy allocation.* *** ### Notes & Limitations - **Public data only.** This actor scrapes LinkedIn's public, non-authenticated job search. It does not access applicant counts, InMail data, or any login-gated information. - **Salary data is sparse.** LinkedIn only shows salary on the public card for a small subset of postings. - **LinkedIn rate-limits aggressively.** The actor uses randomized delays and low concurrency, but for large runs (500+ jobs) residential proxies are essential. Datacenter IPs are almost always blocked. - **Results reflect LinkedIn's public index.** Not all postings are indexed; promoted postings and recently-posted jobs are most likely to appear. - **Relative dates.** Postings older than 30 days show "30+ days ago" — these are parsed as 31 days ago and may be approximate. - **No login wall bypass.** The actor only accesses public endpoints. It will never prompt for or use LinkedIn credentials. # Actor input Schema ## `jobTitles` (type: `array`): One or more job titles or keywords to search (e.g. \["Sales Manager", "Marketing"]). Each is searched separately. ## `location` (type: `string`): LinkedIn location text (city, country, or region). ## `maxJobsPerTitle` (type: `integer`): Maximum number of job postings to collect per job title. ## `datePosted` (type: `string`): Filter by posting date. ## `experienceLevel` (type: `array`): Filter by experience level (leave empty for all levels). ## `workType` (type: `array`): Filter by work arrangement (leave empty for all types). ## `outputMode` (type: `string`): "companies" = aggregated company list only; "jobs" = every individual posting; "both" = jobs in dataset + company summary in key-value store. ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxies are strongly recommended — LinkedIn blocks datacenter IPs. ## Actor input object example ```json { "jobTitles": [ "Sales Manager" ], "location": "United States", "maxJobsPerTitle": 200, "datePosted": "pastMonth", "outputMode": "both", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # 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("hodayfaell/linkedin-hiring-companies-tracker").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("hodayfaell/linkedin-hiring-companies-tracker").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 hodayfaell/linkedin-hiring-companies-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hodayfaell/linkedin-hiring-companies-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Hiring Companies Tracker", "description": "Input a job title, get every company actively hiring for that role on LinkedIn right now. Perfect for recruiters, B2B sales prospecting, and hiring-trend research. Aggregates companies by open role count.", "version": "0.0", "x-build-id": "juRyCKzwYHJrfHnDl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hodayfaell~linkedin-hiring-companies-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hodayfaell-linkedin-hiring-companies-tracker", "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/hodayfaell~linkedin-hiring-companies-tracker/runs": { "post": { "operationId": "runs-sync-hodayfaell-linkedin-hiring-companies-tracker", "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/hodayfaell~linkedin-hiring-companies-tracker/run-sync": { "post": { "operationId": "run-sync-hodayfaell-linkedin-hiring-companies-tracker", "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": [ "jobTitles" ], "properties": { "jobTitles": { "title": "Job Titles / Keywords", "type": "array", "description": "One or more job titles or keywords to search (e.g. [\"Sales Manager\", \"Marketing\"]). Each is searched separately.", "items": { "type": "string" }, "default": [ "Sales Manager" ] }, "location": { "title": "Location", "type": "string", "description": "LinkedIn location text (city, country, or region).", "default": "United States" }, "maxJobsPerTitle": { "title": "Max Jobs Per Title", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of job postings to collect per job title.", "default": 200 }, "datePosted": { "title": "Date Posted", "enum": [ "any", "past24h", "pastWeek", "pastMonth" ], "type": "string", "description": "Filter by posting date.", "default": "pastMonth" }, "experienceLevel": { "title": "Experience Level", "type": "array", "description": "Filter by experience level (leave empty for all levels).", "items": { "type": "string", "enum": [ "internship", "entry", "associate", "mid-senior", "director", "executive" ] } }, "workType": { "title": "Work Type", "type": "array", "description": "Filter by work arrangement (leave empty for all types).", "items": { "type": "string", "enum": [ "onsite", "remote", "hybrid" ] } }, "outputMode": { "title": "Output Mode", "enum": [ "companies", "jobs", "both" ], "type": "string", "description": "\"companies\" = aggregated company list only; \"jobs\" = every individual posting; \"both\" = jobs in dataset + company summary in key-value store.", "default": "both" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxies are strongly recommended — LinkedIn blocks datacenter IPs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```