glassdoor-reviews-api

Collect Glassdoor company reviews with ratings, pros, cons, and metadata. Apify-backed n8n community node, pay-per-result, and usable as an AI agent tool.

Package Information

Released: 3 mo ago
Downloads: 0 weekly / 0 monthly
Latest Version: 0.1.1

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Glassdoor Reviews
Collect Glassdoor company reviews and return one item per review with ratings, pros, cons, and metadata

Documentation

n8n-nodes-glassdoor-reviews-api

An n8n community node that collects Glassdoor company reviews and returns them as structured items: company name, overall rating, the sub-ratings, pros, cons, employment type, publish date, and more. It is backed by the Glassdoor Reviews API on Apify and bills per result, so there are no subscriptions and no minimums.

Installation · Credentials · Operations · Output · Example workflows · Pricing · Resources

What it does

Give the node one or more Glassdoor company review URLs, and it returns one item per review with the company name, the overall star rating and each sub-rating, the reviewer's pros and cons, employment status and type, the publish date, and a plain-language summary. It also works as an AI Agent tool, so an agent can pull reviews on demand.

  • Collect reviews for one or more companies in a single run
  • Cap the number of reviews per company and how many days back to look
  • Choose how much data to return per review: Simplified, Raw, or Selected Fields

Installation

Follow the n8n community nodes installation guide:

  1. In n8n, open Settings > Community Nodes.
  2. Select Install.
  3. Enter n8n-nodes-glassdoor-reviews-api as the npm package name.
  4. Agree to the risks of using community nodes, then select Install.

After it installs, the Glassdoor Reviews node appears in the nodes panel.

n8n Cloud only allows verified community nodes. Until this node is verified, install it on a self-hosted n8n instance.

Credentials

You need a free Apify account and an API token.

  1. Sign in to the Apify Console.
  2. Open Settings > Integrations and copy your Personal API token.
  3. In n8n, create a new Apify API credential and paste the token.
  4. Use the credential's Test button to confirm it works.

The node also supports Apify OAuth2 if you prefer to connect that way.

Operations

Review > Collect returns the reviews for one or more companies.

Parameter Description
Company Review URLs One or more Glassdoor company review URLs, separated by commas, spaces, or new lines. Required. Up to 100 per run.
Max Reviews per Company Maximum number of reviews to return per company, 1 to 1000.
Days Back How many days of reviews to collect, for example 30.
Output How much data to return: Simplified, Raw, or Selected Fields.

A Glassdoor company review URL looks like https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm. Overview URLs are also accepted.

Output

Each review is returned as its own n8n item. The API returns more than ten fields per review, so the Output parameter lets you choose how much to return:

  • Simplified (default): a compact object with result_type, companyName, overallRating, employmentType, employmentStatus, reviewSummary, pros, cons, datePublished, reviewUrl, and summary. This mode is also used automatically when the node runs as an AI Agent tool, to keep responses small.
  • Raw: every field the API returns for each review, using the original field names below.
  • Selected Fields: pick exactly which fields to include.

Fields (Raw and Selected Fields)

Field Type Description
result_type string One of review (a collected review) or error (a validation or collection error row)
companyName string The employer this review belongs to
overallRating number The overall star rating, 1 to 5
ratingCareerOpportunities number Career-opportunities sub-rating, 1 to 5
ratingCompensationBenefits number Compensation-and-benefits sub-rating, 1 to 5
ratingCultureValues number Culture-and-values sub-rating, 1 to 5
ratingDiversityInclusion number Diversity-and-inclusion sub-rating, 1 to 5
ratingSeniorLeadership number Senior-leadership sub-rating, 1 to 5
ratingWorkLife number Work-life-balance sub-rating, 1 to 5
reviewSummary string The reviewer's own one-line headline
pros string What the reviewer liked
cons string What the reviewer disliked or would improve
employmentStatus string For example FULL_TIME, PART_TIME, CONTRACT, INTERN
employmentType string Whether the reviewer is a current or former employee
datePublished string The date the review was published (ISO 8601)
helpfulCount integer Number of readers who marked the review as helpful
reviewId string Stable identifier for the review on Glassdoor
reviewUrl string Direct link to the individual review
companyUrl string The Glassdoor company reviews URL that was collected
summary string Plain-language one-line interpretation of the review
fetched_at string ISO 8601 timestamp of when the row was produced
error_message string Human-readable error description. Only present on rows with result_type error
error_type string Machine-readable error category. Only present on error rows

Example workflows

1. Track employer reputation in a sheet

  1. Manual Trigger.
  2. Glassdoor Reviews: paste one or more company URLs, Output Simplified.
  3. Google Sheets / Airtable: append companyName, overallRating, and datePublished.

2. Summarize the pros and cons of a competitor

  1. Manual Trigger.
  2. Glassdoor Reviews: the competitor's URL, Output Selected Fields with pros and cons.
  3. Summarization or an LLM node: roll the pros and cons into a short brief.

3. Let an AI Agent read reviews

  1. AI Agent node.
  2. Attach Glassdoor Reviews as a tool.
  3. Ask "What do employees say about working at Google?" The agent calls the node (in Simplified mode) and returns the reviews.

Pricing

This node calls the Glassdoor Reviews API on Apify, which is billed pay-per-result, with no subscription and no minimums. Apify also includes a free monthly usage tier that covers typical volumes. See the Actor page for current rates.

Resources

License

MIT

Discussion