Job Salary Scraper — Market Comp Data
Pricing
Pay per usage
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Job Salary Scraper — Market Comp Data
Job salary scraper for role and market compensation signals. Pay per result. Research/HR use.
Job Salary Scraper — Market Comp Data
Pricing
Pay per usage
Job salary scraper for role and market compensation signals. Pay per result. Research/HR use.
You can access the Job Salary Scraper — Market Comp Data programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
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 "jobTitles": ["software engineer"],10 "locations": ["Remote"],11 "minSalary": 80000,12 "maxResults": 10,13}14
15# Run the Actor and wait for it to finish16run = client.actor("intelscrape/job-salary-aggregator").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")20for item in client.dataset(run.default_dataset_id).iterate_items():21 print(item)22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Job Salary Scraper — Market Comp Data API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: