Occupation Demand by Metro Intelligence
Pricing
from $8.40 / 1,000 results
Use this Actor to analyze occupation demand by metro and return decision-ready structured signals. Rank occupation demand, acceleration and concentration by metropolitan area from recurring job datasets.
You can access the Occupation Demand by Metro Intelligence programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youâll need an Apify account and your API token, found in API & Integrations in Apify Console.
![Indeed [$1.5đ°] Reviews | Interviews | Location | Salary | Job avatar](https://images.apifyusercontent.com/Ce9V36VnwOOZK4bGCjjw3CqequfqjWtmtpcwTPLFNwQ/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbmduOHZSRVNUa3NleVdFNnAtYWN0b3ItcTBFUkxSNlRCb3h0WmhtVkstQ2RzVnlJRGh6by1pbmRlZWQucG5n.webp){kind=avatar}
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "currentItems": [10 {11 "id": "m1",12 "metro": "Austin",13 "occupation": "AI Engineer",14 "openings": 35,15 },16 {17 "id": "m2",18 "metro": "Austin",19 "occupation": "Data Engineer",20 "openings": 20,21 },22 {23 "id": "m3",24 "metro": "Boston",25 "occupation": "AI Engineer",26 "openings": 14,27 },28 ],29 "previousItems": [30 {31 "id": "m1",32 "metro": "Austin",33 "occupation": "AI Engineer",34 "openings": 18,35 },36 {37 "id": "m2",38 "metro": "Austin",39 "occupation": "Data Engineer",40 "openings": 12,41 },42 {43 "id": "m3",44 "metro": "Boston",45 "occupation": "AI Engineer",46 "openings": 13,47 },48 ],49}50
51# Run the Actor and wait for it to finish52run = client.actor("quanmatrix/metro-occupation-demand-intelligence").call(run_input=run_input)53
54# Fetch and print Actor results from the run's dataset (if there are any)55print(f"đž Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")56for item in client.dataset(run.default_dataset_id).iterate_items():57 print(item)58
59# đ Want to learn more đ? Go to â https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Occupation Demand by Metro Intelligence API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: