Glassdoor Reviews API
Collect Glassdoor company reviews as clean, structured JSON for employer-brand and HR analytics. Send one or many company URLs and get overall and category ratings, pros and cons, employment type, and dates. Reliable, pay per review, MCP-ready for Claude and AI agents.
MEDIAN LAGon demand
PARAMETERS3
TOTAL USERS23
MONTHLY ACTIVE3
TOTAL RUNS234
SUCCESS (30D)93.0%
RATING5.0 (2)
LAST MODIFIED2026-11-02
PUBLISHED2026-07
Input parameters
| PARAMETER | TYPE | REQ | DEFAULT | DESCRIPTION |
|---|---|---|---|---|
| companyUrls | string[] | yes | — | One or more Glassdoor company review URLs, e.g. https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm. |
| maxReviewsPerCompany | integer | no | 100 | Maximum number of reviews to return per company (1-1000). |
| days | integer | no | 30 | How many days of reviews to collect, e.g. 30. |
Worked examples
{
"companyUrls": [
"https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
]
}
Code
curl
curl -X POST "https://api.apify.com/v2/acts/johnvc~glassdoor-reviews-api/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"companyUrls": ["https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"]}'
Python
from apify_client import ApifyClient
client = ApifyClient("APIFY_TOKEN")
run = client.actor("johnvc/glassdoor-reviews-api").call(
run_input={'companyUrls': ['https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm']}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
MCP
Apify's hosted MCP server loads this source from the URL below as the tool johnvc--glassdoor-reviews-api. Sign in to Apify when your client asks (OAuth), or send an Apify token as an Authorization: Bearer header.
https://mcp.apify.com/?tools=johnvc/glassdoor-reviews-api