Akta: Employee Reviews

Retrieving aggregated employee sentiment and individual workplace reviews.

Tool ID: akta_employee_reviews

Run this action

Use the TypeScript SDK for a single call. Put ctx.tools.execute(...) inside a Play when the call should be durable, scheduled, or run across a CSV.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'akta_employee_reviews',
  {
    "company": "Example Corp"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute akta_employee_reviews --input '{
  "company": "Example Corp"
}' --json

Example response

The SDK exposes this shape at result.toolResponse.raw. Values below are representative.

{
  "data": {
    "data": {
      "uuid": "uuid_123",
      "employee_reviews": {
        "overall_rating": {},
        "other_ratings": [
          {}
        ],
        "reviews": {
          "total": 123,
          "total_by_provider": {}
        }
      }
    },
    "limit": 123,
    "offset": 123
  }
}

Use deepline tools get akta_employee_reviews --json for the latest machine-readable contract.

Input reference

Fetch a company’s employee review data including overall ratings, dimension-level ratings (culture, work-life balance, senior management and more) and individual employee reviews. Results are returned in the API response.

Name	Type	Required	Default	Details
`payload.company`	`string`	Yes	—	Company website (e.g. ‘canva.com’) or a company UUID. The UUID can be obtained from the Company Search API.
`payload.limit`	`integer`	No	`10`	Maximum number of reviews to return. Maximum: 100.
`payload.offset`	`integer`	No	`0`	Number of reviews to skip before returning records. Use with limit for pagination.

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.data`	`object`	No	—	—
`result.data.data.uuid`	`string`	No	—	Company UUID.
`result.data.data.employee_reviews`	`object`	No	—	—
`result.data.data.employee_reviews.overall_rating`	`record`	No	—	Overall company rating per review provider. Keys are provider identifiers (e.g. glassdoor), values are floats.
`result.data.data.employee_reviews.other_ratings`	`array`	No	—	Dimension-level ratings broken out per provider.
`result.data.data.employee_reviews.other_ratings[].type`	`string`	No	—	Rating dimension. Example: business_outlook, ceo, recommend_to_friend, compensation_and_benefits, culture_and_values, diversity_and_inclusion, senior_management, work_life_balance.
`result.data.data.employee_reviews.other_ratings[].provider`	`string`	No	—	Review provider identifier.
`result.data.data.employee_reviews.other_ratings[].value`	`number`	No	—	Rating value. Sentiment-style dimensions (business_outlook, ceo, recommend_to_friend) are 0 to 1 percentage; other dimensions are 0 to 5 scale.
`result.data.data.employee_reviews.reviews`	`object`	No	—	—
`result.data.data.employee_reviews.reviews.data`	`array`	No	—	—
`result.data.data.employee_reviews.reviews.data[].id`	`integer`	No	—	Unique identifier for the review.
`result.data.data.employee_reviews.reviews.data[].summary`	`string`	No	—	Review headline or summary.
`result.data.data.employee_reviews.reviews.data[].pros`	`string`	No	—	Pros described by the reviewer.
`result.data.data.employee_reviews.reviews.data[].cons`	`string`	No	—	Cons described by the reviewer.
`result.data.data.employee_reviews.reviews.data[].rating`	`integer`	No	—	Overall star rating given by the reviewer.
`result.data.data.employee_reviews.reviews.data[].review_link`	`string`	No	—	Link to the original review on the provider’s site.
`result.data.data.employee_reviews.reviews.data[].job_title`	`string`	No	—	Job title of the reviewer.
`result.data.data.employee_reviews.reviews.data[].review_date`	`string`	No	—	Publication date of the review.
`result.data.data.employee_reviews.reviews.data[].employment_status`	`string`	No	—	Employment type of the reviewer. Example: REGULAR, CONTRACT.
`result.data.data.employee_reviews.reviews.data[].is_current_employee`	`boolean`	No	—	True if the reviewer was a current employee at the time of writing.
`result.data.data.employee_reviews.reviews.data[].years_of_employment`	`integer`	No	—	Reviewer’s tenure at the company in years.
`result.data.data.employee_reviews.reviews.data[].location`	`string`	No	—	Location of the reviewer.
`result.data.data.employee_reviews.reviews.data[].country_code`	`string`	No	—	Country code of the reviewer’s location.
`result.data.data.employee_reviews.reviews.data[].helpful_count`	`integer`	No	—	Number of users who marked the review as helpful.
`result.data.data.employee_reviews.reviews.data[].not_helpful_count`	`integer`	No	—	Number of users who marked the review as not helpful.
`result.data.data.employee_reviews.reviews.data[].career_opportunities_rating`	`integer`	No	—	Reviewer’s rating for career opportunities.
`result.data.data.employee_reviews.reviews.data[].ceo_rating`	`string`	No	—	Reviewer’s CEO sentiment. Example: APPROVE, DISAPPROVE.
`result.data.data.employee_reviews.reviews.data[].compensation_and_benefits_rating`	`integer`	No	—	Reviewer’s rating for compensation and benefits.
`result.data.data.employee_reviews.reviews.data[].culture_and_values_rating`	`integer`	No	—	Reviewer’s rating for culture and values.
`result.data.data.employee_reviews.reviews.data[].diversity_and_inclusion_rating`	`integer`	No	—	Reviewer’s rating for diversity and inclusion.
`result.data.data.employee_reviews.reviews.data[].senior_management_rating`	`integer`	No	—	Reviewer’s rating for senior management.
`result.data.data.employee_reviews.reviews.data[].work_life_balance_rating`	`integer`	No	—	Reviewer’s rating for work-life balance.
`result.data.data.employee_reviews.reviews.data[].language`	`string`	No	—	Language code of the review.
`result.data.data.employee_reviews.reviews.data[].provider`	`string`	No	—	Review provider identifier.
`result.data.data.employee_reviews.reviews.total`	`integer`	No	—	Total number of reviews available for the company across all providers.
`result.data.data.employee_reviews.reviews.total_by_provider`	`record`	No	—	Total review count broken down by provider.
`result.data.limit`	`integer`	No	—	—
`result.data.offset`	`integer`	No	—	—
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: provider_usage (provider usage).
Estimated Deepline credits: 0.03 per pricing unit.

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Reference

Akta: Employee Reviews

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CLI

Example response

Input reference

Output reference

Deepline cost

​Run this action

​CLI

​Example response

​Input reference

​Output reference

​Deepline cost

​Related documentation

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

Related documentation