# UAE Hiring & Lead Signals (Bilingual) (`get_anything/uae-hiring-lead-signals`) Actor Track which UAE companies are hiring right now on LinkedIn. Get open roles per company, a 0-100 hiring intent score, seniority and function breakdowns, weekly trend deltas, and optional Arabic company labels. Built for sales teams, recruiters and job seekers in the Gulf. - **URL**: https://apify.com/get\_anything/uae-hiring-lead-signals.md - **Developed by:** [Get Anything](https://apify.com/get_anything) (community) - **Categories:** Lead generation, Jobs - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $35.00 / 1,000 company 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.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 ## UAE Hiring & Lead Signals (Bilingual) Find out which companies are actively hiring in the UAE right now. Each result comes with an Arabic company label, a hiring intent score from 0 to 100, and week-over-week trend tracking when you run it on a schedule. Most hiring signal tools cover the US or "global" markets and only work in English. This one is built for the UAE from the ground up, with bilingual output that matches how business actually works in the Gulf. ### Who this is for - **Sales and lead gen teams** looking for UAE companies that are growing their headcount. A company posting 5 new roles this week is a much warmer lead than one from a static database. - **Recruiters and agencies** who want to spot expansion before the roles show up on local job boards. - **Market researchers** tracking hiring activity by industry, function, or seniority across the Emirates. - **Job seekers** who want one clean, deduplicated view of who is hiring for their role instead of scrolling through search results. ### What you get for each company - Number of open roles plus sample job titles - Seniority breakdown (entry, associate, mid-senior, director, executive) - Function breakdown (Ecommerce, Marketing, Sales, SEO, Data, Product and more) - Hiring intent score from 0 to 100, based on role volume, seniority of the roles, and momentum vs the previous run - Trend delta: how many roles were added or removed since your last scheduled run - Arabic company label (optional, generated with the Anthropic API using your own key) - The full list of individual job postings with direct links - Optional deep enrichment: full job description, stated seniority and employment type, industry, and applicant count for every posting ### Input | Field | Description | |---|---| | `keywords` | One or more role searches, e.g. `["Ecommerce Specialist", "SEO Manager"]` | | `location` | Defaults to `United Arab Emirates`. Narrow it to a city like `Dubai` if you want | | `postedWithinDays` | Only include jobs posted in the last N days. Default is 7 | | `maxJobsPerKeyword` | Cap on jobs fetched per keyword | | `enrichJobDetails` | Visit each posting for full description, stated seniority, industry and applicant count. Slower but much richer | | `enableArabicLabels` | Generate natural Arabic company labels. Needs your `anthropicApiKey` | | `trackTrend` | Compare against the previous run. Works best on a schedule | ### Pricing You pay a small fee per company signal in your results. No subscription, no minimum. A typical run tracking one role across the UAE costs well under a dollar. ### Tips - Run it on a **weekly schedule** to unlock trend deltas. A single run gives you a snapshot; a schedule gives you momentum. - Seniority and function are inferred from job titles, which works well for lead scoring. Turn on `enrichJobDetails` if you want LinkedIn's own stated seniority and employment type for each posting. - Everything comes from LinkedIn's public guest job search. No login, no cookies, no account risk. ### Example output ```json { "company": "Manpower Middle East", "companyArabic": "مانباور الشرق الأوسط", "companyLinkedinUrl": "https://www.linkedin.com/company/manpower-middleeast", "openRoles": 3, "hiringIntentScore": 46.0, "trendDelta": 2, "seniorityMix": { "Associate": 2, "Mid-Senior level": 1 }, "functionMix": { "Ecommerce": 2, "Marketing": 1 }, "sampleTitles": ["E-Commerce Executive", "Digital Marketing Manager"] } ```` # Actor input Schema ## `keywords` (type: `array`): One or more role/keyword searches, e.g. 'Ecommerce Specialist', 'SEO Manager'. ## `location` (type: `string`): LinkedIn location string. Keep UAE-wide, or narrow to a city (e.g. 'Dubai'). ## `postedWithinDays` (type: `integer`): Only include jobs posted in the last N days. ## `maxJobsPerKeyword` (type: `integer`): Cap on jobs fetched per keyword search. LinkedIn guest search returns up to ~1000 per query. ## `enableArabicLabels` (type: `boolean`): Uses the Anthropic API to produce natural Arabic labels for company names and role functions. Requires anthropicApiKey. ## `anthropicApiKey` (type: `string`): Only required if enableArabicLabels is true. Never logged or stored in output. ## `enrichJobDetails` (type: `boolean`): Visits each job's public posting page (no login required) to pull full description, stated seniority/employment type/industries, and applicant count text. Slower — adds one request per job. ## `trackTrend` (type: `boolean`): Compares this run's per-company job counts to the previous scheduled run (stored in the Actor's key-value store) and reports delta. Most useful when this Actor is run on a schedule. ## `proxyConfiguration` (type: `object`): Proxy settings for LinkedIn requests. Apify Proxy is recommended to avoid rate limiting. ## Actor input object example ```json { "keywords": [ "Ecommerce Specialist" ], "location": "United Arab Emirates", "postedWithinDays": 7, "maxJobsPerKeyword": 100, "enableArabicLabels": true, "enrichJobDetails": false, "trackTrend": true, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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("get_anything/uae-hiring-lead-signals").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("get_anything/uae-hiring-lead-signals").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 get_anything/uae-hiring-lead-signals --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=get_anything/uae-hiring-lead-signals", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "UAE Hiring & Lead Signals (Bilingual)", "description": "Track which UAE companies are hiring right now on LinkedIn. Get open roles per company, a 0-100 hiring intent score, seniority and function breakdowns, weekly trend deltas, and optional Arabic company labels. Built for sales teams, recruiters and job seekers in the Gulf.", "version": "0.1", "x-build-id": "fmetMaHvzpdaNzRDy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/get_anything~uae-hiring-lead-signals/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-get_anything-uae-hiring-lead-signals", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/get_anything~uae-hiring-lead-signals/runs": { "post": { "operationId": "runs-sync-get_anything-uae-hiring-lead-signals", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/get_anything~uae-hiring-lead-signals/run-sync": { "post": { "operationId": "run-sync-get_anything-uae-hiring-lead-signals", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "location" ], "properties": { "keywords": { "title": "Job keywords", "type": "array", "description": "One or more role/keyword searches, e.g. 'Ecommerce Specialist', 'SEO Manager'.", "default": [ "Ecommerce Specialist" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "LinkedIn location string. Keep UAE-wide, or narrow to a city (e.g. 'Dubai').", "default": "United Arab Emirates" }, "postedWithinDays": { "title": "Posted within (days)", "type": "integer", "description": "Only include jobs posted in the last N days.", "default": 7 }, "maxJobsPerKeyword": { "title": "Max jobs per keyword", "type": "integer", "description": "Cap on jobs fetched per keyword search. LinkedIn guest search returns up to ~1000 per query.", "default": 100 }, "enableArabicLabels": { "title": "Generate Arabic company/role labels", "type": "boolean", "description": "Uses the Anthropic API to produce natural Arabic labels for company names and role functions. Requires anthropicApiKey.", "default": true }, "anthropicApiKey": { "title": "Anthropic API key", "type": "string", "description": "Only required if enableArabicLabels is true. Never logged or stored in output." }, "enrichJobDetails": { "title": "Enrich with job detail pages", "type": "boolean", "description": "Visits each job's public posting page (no login required) to pull full description, stated seniority/employment type/industries, and applicant count text. Slower — adds one request per job.", "default": false }, "trackTrend": { "title": "Track hiring trend across runs", "type": "boolean", "description": "Compares this run's per-company job counts to the previous scheduled run (stored in the Actor's key-value store) and reports delta. Most useful when this Actor is run on a schedule.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings for LinkedIn requests. Apify Proxy is recommended to avoid rate limiting.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```