Built In Salaries Scraper
Pricing
Pay per event
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Built In Salaries Scraper
Scrape Built In salary benchmarks, compensation ranges, and recent salary reports by role and location.
Built In Salaries Scraper
Pricing
Pay per event
Scrape Built In salary benchmarks, compensation ranges, and recent salary reports by role and location.
You can access the Built In Salaries Scraper 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 Integrations settings 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 "startUrls": [{ "url": "https://builtin.com/salaries/us/software-engineer" }],10 "roles": ["Software Engineer"],11 "locations": ["US"],12}13
14# Run the Actor and wait for it to finish15run = client.actor("automation-lab/builtin-salaries-scraper").call(run_input=run_input)16
17# Fetch and print Actor results from the run's dataset (if there are any)18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])19for item in client.dataset(run["defaultDatasetId"]).iterate_items():20 print(item)21
22# 📚 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 Built In Salaries Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: