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Glassdoor Scraper (Pay Per Result)

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$5.00 / 1,000 results

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Glassdoor Scraper (Pay Per Result)

Glassdoor Scraper (Pay Per Result)

Developed by

Muhamed Didovic

Muhamed Didovic

Maintained by Community

Extract comprehensive employee reviews from Glassdoor effortlessly. Gather ratings, comments, and company responses to power your HR insights and market research.

0.0 (0)

Pricing

$5.00 / 1,000 results

4

Total users

105

Monthly users

34

Runs succeeded

>99%

Response time

4.1 hours

Last modified

3 days ago

You can access the Glassdoor Scraper (Pay Per Result) 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.

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"includeCompanyInterviewStats": {
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"includeCompanyBenefitsStats": {
"title": "Include Company Benefits Stats.",
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"includeAllSalaries": {
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"maxItems": {
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"type": "integer",
"description": "Maximum number of items (like reviews, salaries, interviews and etc) that will be scraped.",
"default": 2000
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"maxConcurrency": {
"title": "Max Concurrency",
"type": "integer",
"description": "Maximum number of pages that can be processed at the same time.",
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"description": "Minimum number of pages that will be processed at the same time.",
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"maxRequestRetries": {
"title": "Max Request Retries",
"type": "integer",
"description": "Number of times the crawler will retry a failed request before giving up.",
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"proxy": {
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Glassdoor Scraper (Pay Per Result) OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Glassdoor Scraper (Pay Per Result) from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients: