Greenhouse Salary Scraper - Job Pay Ranges
Pricing
Pay per event
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Greenhouse Salary Scraper - Job Pay Ranges
Greenhouse job postings with published pay ranges by zone, annualised pay, filters and new-since-last-run detection.
Greenhouse Salary Scraper - Job Pay Ranges
Pricing
Pay per event
Greenhouse job postings with published pay ranges by zone, annualised pay, filters and new-since-last-run detection.
You can access the Greenhouse Salary Scraper - Job Pay Ranges 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.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {11 "companies": [12 "robinhood"13 ],14 "maxItems": 50,15 "proxyConfiguration": {16 "useApifyProxy": false17 }18};19
20// Run the Actor and wait for it to finish21const run = await client.actor("datagrit/greenhouse-salary-scraper").call(input);22
23// Fetch and print Actor results from the run's dataset (if any)24console.log('Results from dataset');25console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);26const { items } = await client.dataset(run.defaultDatasetId).listItems();27items.forEach((item) => {28 console.dir(item);29});30
31// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsThe Apify API client for JavaScript is the official library that allows you to use Greenhouse Salary Scraper - Job Pay Ranges API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include: