Glassdoor contains valuable data -- employer_id and profile, overall and category ratings, reviews (max 3 per response), salary bands by title, and more. Scraping this data directly means dealing with anti-bot detection, CAPTCHAs, IP rotation, and constantly breaking selectors. The Scavio API handles all of that and returns clean, structured JSON from a single POST request.
This tutorial shows you how to scrape Glassdoor using JavaScript and the Scavio API. By the end, you will have a working JavaScript script that fetches real-time Glassdoor data and parses the results.
Prerequisites
- JavaScript installed on your machine
- A Scavio API key (free tier includes 50 credits on signup -- no credit card required)
Step 1: Install Dependencies
fetch is built into JavaScript, so there is nothing to install.
# No installation needed - fetch is built into Node.js 18+Step 2: Make Your First Glassdoor Search
Send a POST request to the Scavio Glassdoor API endpoint with your query. The API returns structured JSON with employer_id and profile, overall and category ratings, reviews (max 3 per response), and more.
// This page has no dedicated endpoint yet, so the sample runs a Google web search.
const API_KEY = "sk_live_your_key";
const query = "Stripe";
const response = await fetch("https://api.scavio.dev/api/v2/google", {
method: "POST",
headers: {
"Authorization": "Bearer " + API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({ query }),
});
if (!response.ok) {
throw new Error("Scavio API error: " + response.status);
}
const data = await response.json();
const rows = data?.organic_results ?? [];
for (const row of rows.slice(0, 5)) {
console.log(row?.title);
console.log(" ", row?.link, row?.snippet);
}Step 3: Example Response
The API returns structured JSON. Here is an example response for a Glassdoor search:
{
"search_parameters": { "q": "cold brew coffee", "hl": "en", "gl": "us" },
"organic_results": [
{
"position": 1,
"title": "how do you guys make cold brew? : r/Coffee",
"link": "https://www.reddit.com/r/Coffee/comments/oi7rm7/how_do_you_guys_make_cold_brew/",
"snippet": "i wanna learn how to make cold brew coffee but theres a lot of ways...",
"source": "Reddit"
}
],
"related_searches": [{ "query": "cold brew ratio", "link": "https://www.google.com/search?q=cold+brew+ratio" }],
"response_time": 2841,
"credits_used": 1,
"credits_remaining": 4821
}Every field is structured and typed -- no HTML parsing, no CSS selectors, no regex extraction. Your JavaScript code can access any field directly.
Step 4: Full Working Example
Here is a complete, runnable JavaScript script that searches Glassdoor and prints the results:
/**
* Search Glassdoor data with the Scavio API.
* POST /api/v2/google - rows come back under organic_results, 1 credit per call.
*/
// This page has no dedicated endpoint yet, so the sample runs a Google web search.
const API_URL = "https://api.scavio.dev/api/v2/google";
const API_KEY = process.env.SCAVIO_API_KEY;
async function searchGlassdoor(query) {
const response = await fetch(API_URL, {
method: "POST",
headers: {
"Authorization": "Bearer " + API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({ query }),
});
if (!response.ok) {
throw new Error("Scavio API error: " + response.status);
}
return response.json();
}
const data = await searchGlassdoor("Stripe");
const rows = data?.organic_results ?? [];
for (const row of rows.slice(0, 5)) {
console.log(row?.title);
console.log(" ", row?.link, row?.snippet);
}Why Use Scavio Instead of Scraping Glassdoor Directly?
- No proxy management. Direct scraping requires rotating proxies to avoid IP bans. Scavio handles all of this server-side.
- No CAPTCHA solving. Glassdoor aggressively blocks automated requests. Scavio returns clean data every time.
- Structured JSON output. No HTML parsing or CSS selector maintenance. Get typed, consistent data from every request.
- Multi-platform in one API. Search Google, Amazon, YouTube, and Walmart from the same API key with the same authentication pattern.
- Free tier included. 50 credits on signup with no credit card required. Each search costs 1 credit.