Investment Bank Reviews: Goldman, JPMorgan, Morgan Stanley
Weighing offers from Goldman Sachs, JPMorgan or Morgan Stanley? Compare Glassdoor reviews on culture, hours and management across top investment banks.
How it works
- 1Open it on Apify
Hit Run on Apify — it opens the tool in the cloud, no install.
- 2Set the inputs
Adjust
mode,companyUrls,companyNames(sensible defaults are pre-filled). - 3Click Run
The tool runs on Apify’s cloud and collects the data for you.
- 4Export the results
Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.
Inputs
| Field | What it does | Type |
|---|---|---|
mode | Sample = return a few built-in example reviews instantly, no proxy, no charge (a free preview; this is what the automated check runs). Live = scrape real Glassdoor reviews (a RESIDENTIAL proxy is strongly recommended — Glassdoor is Cloudflare-protected). | string |
companyUrls | Glassdoor company reviews URLs, e.g. "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm". The employer id (the E-number) is read from each URL. Provide at least one of "companyUrls" or "companyNames". | array |
companyNames | Company names to resolve to a Glassdoor employer first, e.g. "Netflix", "Spotify". Use this when you do not have the reviews URL. Each name is matched to the closest Glassdoor employer. Provide at least one of "companyUrls" or "companyNames". | array |
maxReviews | How many reviews to collect per company (the scraper paginates by 10 per page). | integer |
notionConnector | Optional. Write each review as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless. | string |
notionParentId | Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead. | string |
What you get
A structured dataset — each result includes fields like:
companyNamescompanyUrlsdetailsmaxReviewsExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
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