Indeed Companies Scraper — Full profiles · Reviews · Ratings · 63 countries

Foreword: This Actor is designed to work as the second step in a two-actor pipeline — run Indeed Jobs Scraper first, then pipe its output dataset directly into this Actor to enrich each employer with a full company profile. It can also be used standalone via a direct key list or company name, but chaining it after a jobs run is the recommended and most natural usage pattern.

Extract full company profiles from Indeed — including employer descriptions, CEO details, revenue and headcount ranges, social links, employee reviews, and detailed happiness and ratings breakdowns — across all 63 countries Indeed operates in. No proxies required.

Try it free →

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What does this Indeed scraper do?

This Actor fetches the complete company profile payload for any set of employers on Indeed, identified by their internal employer key. Input can come from a previous Indeed Jobs Scraper run (dataset pipe), a manually supplied list of keys, or a free-text company name.

Output includes:

• Identity & tier — name, employer key, claimed status, account tier
• Employer details — full and brief descriptions, CEO name and photo, headcount range, revenue range, industry, registered country, stock symbol, physical addresses
• Social & web links — corporate website, custom career links, Facebook, Instagram, Twitter
• Media content — employer-uploaded video or image embeds with titles and descriptions
• Employee reviews — full review text, pros/cons, per-category ratings, normalized job title and location
• UGC statistics — global review count, overall and per-category rating distributions, CEO approval, interview difficulty and experience, happiness scores across 13 dimensions, salary satisfaction

Because the payload is deeply nested (reviews array, ugcStats sub-objects, happiness breakdowns), JSON is the recommended output format. CSV and Excel exports are available on the Apify platform but will flatten or drop nested fields.

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What data does this scraper extract?

The Actor returns the complete company profile payload per result. Below is a full field reference.

Company essentials

Field	Description
name	Company name as registered on Indeed
key	Indeed's internal employer key
tier	Account tier (FREE, STANDARD, ADVANCED, etc.)
claimed	Whether the employer has claimed their Indeed profile
relativeCompanyPageUrl	Relative path to the company page on Indeed (e.g. /cmp/Domino's)

Employer details

Field	Description
dossier.employerDetails.briefDescription	Short company description (typically 1–2 sentences)
dossier.employerDetails.companyDescription	Full company description as submitted by the employer
dossier.employerDetails.ceoName	CEO name
dossier.employerDetails.ceoPhotoUrl	CEO photo URL
dossier.employerDetails.employees	Encoded headcount range (e.g. ERv1_10000_PLUS, ERv1_201_500)
dossier.employerDetails.revenue	Encoded revenue range (e.g. RRv1_5M_25M, RRv1_1B_PLUS)
dossier.employerDetails.industry	Industry code when provided
dossier.employerDetails.country	Country code of the employer's registered headquarters
dossier.employerDetails.stockSymbol	Stock ticker symbol when publicly traded
dossier.employerDetails.addresses	Array of physical office addresses
dossier.employerDetails.sectors	Array of { localizedLabel } industry sector labels
dossier.brandColor	Hex brand color code for claimed profiles (e.g. #0d6e9e)
dossier.premiumHeaderEnabled	Whether the premium profile header is enabled

Links

Field	Description
dossier.links.corporateWebsite	Corporate website URL
dossier.links.facebook	Facebook page URL
dossier.links.instagram	Instagram profile URL
dossier.links.twitter	Twitter/X profile URL
dossier.links.customLinks	Array of { name, url } custom career or social links

Media content

Field	Description
dossier.customContents	Array of employer-uploaded media items
dossier.customContents[].title	Media item title
dossier.customContents[].description	Media item description
dossier.customContents[].mediaUrl	Embed URL (YouTube, etc.)
dossier.customContents[].detectedLanguage	Detected language of the content

Employee reviews

Each item in the reviews array represents one employee review.

Field	Description
reviews[].key	Unique review identifier
reviews[].id	Numeric review ID
reviews[].title	Review headline
reviews[].text	Full review body
reviews[].pros	Pros section
reviews[].cons	Cons section
reviews[].overallRating	Overall star rating (1–5)
reviews[].compensationAndBenefitsRating	Compensation & benefits rating
reviews[].cultureAndValuesRating	Culture & values rating
reviews[].jobSecurityAndAdvancementRating	Job security & advancement rating
reviews[].managementRating	Management rating
reviews[].workAndLifeBalanceRating	Work-life balance rating
reviews[].normalizedJobTitle	Indeed-normalized job title of the reviewer
reviews[].normalizedLocation	Indeed-normalized location of the reviewer
reviews[].rawJobTitle	Job title as submitted by the reviewer
reviews[].rawLocation	Location as submitted by the reviewer
reviews[].jobCategoryId	Job category identifier
reviews[].dateCreated	Review creation timestamp (ISO 8601)
reviews[].countryCode	Country of the review
reviews[].languageCode	Language code of the review
reviews[].employmentStartYear	Year employment started
reviews[].employmentEndYear	Year employment ended
reviews[].helpfulVotesCount	Number of "helpful" votes
reviews[].unhelpfulVotesCount	Number of "not helpful" votes
reviews[].comments	Array of comment threads on the review

Ratings & UGC statistics

Field	Description
ugcStats.globalReviewCount	Total review count across all countries and languages
ugcStats.reviewCountForCountry	Review count for the queried country
ugcStats.reviewCountForLanguage	Review count for the queried language
ugcStats.reviewCountForLocale	Review count for the queried locale
ugcStats.ratings.overallRating.value	Overall rating (0–5 scale)
ugcStats.ratings.overallRating.count	Number of ratings contributing to the overall score
ugcStats.ratings.compensationAndBenefitsRating.value	Compensation & benefits rating
ugcStats.ratings.cultureAndValuesRating.value	Culture & values rating
ugcStats.ratings.jobSecurityAndAdvancementRating.value	Job security & advancement rating
ugcStats.ratings.managementRating.value	Management rating
ugcStats.ratings.workLifeBalanceRating.value	Work-life balance rating
ugcStats.ratingHistogram	Array of 5 integers — count of [1★, 2★, 3★, 4★, 5★] reviews
ugcStats.recommendFriend.yesCount	Number of reviewers who would recommend to a friend
ugcStats.recommendFriend.noCount	Number who would not
ugcStats.ceoApproval.yesCount	CEO approval yes votes
ugcStats.ceoApproval.noCount	CEO approval no votes
ugcStats.salarySatisfaction.yesCount	Salary satisfaction yes votes
ugcStats.salaryCostOfLiving.yesCount	Salary covers cost of living yes votes

Happiness scores

The ugcStats.happiness block reports workplace happiness across 13 dimensions. Each dimension contains count (number of responses), score (0–100), and grade (POOR, FAIR, GOOD, GREAT, EXCELLENT).

Dimension	Field
Overall	ugcStats.happiness.overall
Achievement	ugcStats.happiness.achievement
Appreciation	ugcStats.happiness.appreciation
Belonging	ugcStats.happiness.belonging
Compensation	ugcStats.happiness.compensation
Energy	ugcStats.happiness.energy
Flexibility	ugcStats.happiness.flexibility
Inclusion	ugcStats.happiness.inclusion
Learning	ugcStats.happiness.learning
Management	ugcStats.happiness.management
Purpose	ugcStats.happiness.purpose
Support	ugcStats.happiness.support
Trust	ugcStats.happiness.trust

Interview data

Field	Description
ugcStats.interview.difficulty.average	Average difficulty (EASY, AVERAGE, DIFFICULT)
ugcStats.interview.difficulty.totalCount	Number of difficulty ratings
ugcStats.interview.experience.average	Overall interview experience (POSITIVE, AVERAGE, NEGATIVE)
ugcStats.interview.experience.totalCount	Number of experience ratings
ugcStats.interview.processLength.average	Typical process length (A_WEEK, TWO_TO_FOUR_WEEKS, etc.)
ugcStats.interview.processLength.totalCount	Number of process length responses

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Sample output

{
  "name": "Domino's",
  "key": "a448e317656774b8",
  "tier": "FREE",
  "claimed": true,
  "relativeCompanyPageUrl": "/cmp/Domino's",
  "dossier": {
    "brandColor": "#0d6e9e",
    "employerDetails": {
      "briefDescription": "Founded as a single store in 1960, Domino's Pizza today stands as the recognized world leader in pizza delivery.",
      "ceoName": "Russell Weiner",
      "employees": "ERv1_10000_PLUS",
      "revenue": "RRv1_5M_25M"
    },
    "links": {
      "corporateWebsite": "https://jobs.dominos.com/us/",
      "facebook": "https://www.facebook.com/Dominos/app/404596412628/",
      "twitter": "https://twitter.com/dominoscareers"
    }
  },
  "ugcStats": {
    "globalReviewCount": 39742,
    "ratings": {
      "overallRating": { "count": 39741, "value": 3.4 },
      "compensationAndBenefitsRating": { "count": 31978, "value": 2.7 },
      "workLifeBalanceRating": { "count": 32090, "value": 3.2 }
    },
    "ratingHistogram": [5338, 4171, 9528, 10495, 10210],
    "ceoApproval": { "noCount": 4393, "yesCount": 9990 },
    "happiness": {
      "overall": { "count": 407, "grade": "GOOD", "score": 59 }
    },
    "interview": {
      "difficulty": { "average": "EASY", "totalCount": 1076 },
      "experience": { "average": "AVERAGE", "totalCount": 1441 }
    }
  }
}

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How to scrape Indeed company profiles — step by step

1. Run Indeed Jobs Scraper to collect job listings for the companies you care about
2. Copy the defaultDatasetId from the jobs run
3. Open this Actor and paste the dataset ID into the datasetId field
4. Set country to match the country you scraped jobs from
5. Click Start
6. When the run finishes, download your company profiles as JSON

No proxy setup. No browser configuration. No technical knowledge required.

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Input options

Piping from Indeed Jobs Scraper

This is the primary and recommended usage pattern. Take the defaultDatasetId from any Indeed Jobs Scraper run and pass it directly:

{
  "datasetId": "aAbBcCdDeEfFgGhH",
  "country": "us"
}

The Actor reads every job record from the dataset, extracts the job.employer.key field, deduplicates the keys, and fetches one full company profile per unique employer. A jobs dataset of 10,000 listings from 200 employers will produce exactly 200 company profiles.

If you already have the employer keys from a previous run and want to skip the dataset read:

{
  "companyKeys": ["e465e7d7603c9368", "a448e317656774b8", "7b09cc8e5551827f"],
  "country": "fr"
}

Option A — pipe from Indeed Jobs Scraper (dataset ID)

{
  "datasetId": "aAbBcCdDeEfFgGhH",
  "country": "us"
}

Option B — direct key list

{
  "companyKeys": ["e465e7d7603c9368", "a448e317656774b8"],
  "country": "fr"
}

Option C — company name search

{
  "companyName": "Domino's Pizza",
  "country": "us"
}

The Actor resolves the name to an employer key via a job search and fetches the profile. Best used for one-off lookups. For bulk enrichment, use datasetId or companyKeys.

Supported input parameters

Parameter	Required	Description
country	Yes	Indeed country market (see full list below). Used to scope the profile fetch
datasetId	No*	Default dataset ID from an Indeed Jobs Scraper run
companyKeys	No*	JSON array of employer key strings
companyName	No*	Free-text company name to resolve and fetch

*At least one of datasetId, companyKeys, or companyName must be provided.

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All 63 supported countries

Sourced directly from indeed.com/worldwide.

Country	Code	Country	Code	Country	Code
Argentina	ar	Hungary	hu	Saudi Arabia	sa
Australia	au	India	in	Singapore	sg
Austria	at	Indonesia	id	South Africa	za
Bahrain	bh	Ireland	ie	South Korea	kr
Belgium	be	Israel	il	Spain	es
Brazil	br	Italy	it	Sweden	se
Canada	ca	Japan	jp	Switzerland	ch
Chile	cl	Kuwait	kw	Taiwan	tw
China	cn	Luxembourg	lu	Thailand	th
Colombia	co	Malaysia	malaysia	Turkey	tr
Costa Rica	cr	Mexico	mx	Ukraine	ua
Czech Republic	cz	Morocco	ma	United Arab Emirates	ae
Denmark	dk	Netherlands	nl	United Kingdom	uk
Ecuador	ec	New Zealand	nz	United States	us
Egypt	eg	Nigeria	ng	Uruguay	uy
Finland	fi	Norway	no	Venezuela	ve
France	fr	Oman	om	Vietnam	vn
Germany	de	Pakistan	pk	—	—
Greece	gr	Panama	pa	—	—
Hong Kong	hk	Peru	pe	—	—
—	—	Philippines	ph	—	—
—	—	Poland	pl	—	—
—	—	Portugal	pt	—	—
—	—	Qatar	qa	—	—
—	—	Romania	ro	—	—

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How much does it cost to scrape Indeed company profiles?

This Actor uses pay-per-event (PPE) pricing. Compute is free. You are charged only for results written to the dataset, plus a negligible one-time start fee per run.

Event	Cost
Per result (dataset item)	$0.0019
Per run start	$0.00005

Volume discounts apply automatically based on your Apify subscription tier:

Tier	Per result
No discount	$0.0019
Bronze	$0.0014
Silver	$0.0009
Gold	$0.0004

Example: 10,000 company profiles at the standard rate = $19, plus $0.00005 for the run start.

No proxy fees. No compute charges. No surprises.

An Apify account is required to run this Actor. See apify.com/pricing for platform subscription tiers.

Enterprise & bulk pricing

For high-volume or enterprise use cases, fixed pricing with unlimited results is available. Reach out at etr@metaretica.com.

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Use cases

Employer intelligence — build a structured database of company profiles enriched with verified ratings, review counts, CEO information, and happiness scores. Combine with job data from Indeed Jobs Scraper for a complete employer picture.

Recruitment research — assess companies before outreach by reviewing overall ratings, culture scores, management ratings, and interview difficulty. The ugcStats.happiness block provides granular workplace sentiment across 13 dimensions.

HR tech and ATS enrichment — pipe company profile data into your product to show candidates employer context alongside job listings: ratings, review counts, website links, and company descriptions.

Competitive analysis — track ratings, review counts, and happiness scores for a set of target employers over time. The ratingHistogram and per-category ratings give a complete picture of employee sentiment trends.

Job board and aggregator enrichment — append full company profiles to job listings using the employer.key field already present in jobs scraper output. No additional lookup step required when piping datasets.

Lead generation and sales intelligence — surface employer details including website, social links, headcount range, revenue band, and CEO name for companies actively posting on Indeed.

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Integrations

The Actor integrates with the full Apify platform stack:

• Apify API — trigger runs and fetch results programmatically in any language
• Make / Zapier — pipe company data into Google Sheets, Airtable, Slack, or any SaaS tool
• Webhooks — get notified when a run completes
• Scheduling — run on any cron-based cadence for continuous profile freshness

API example (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

# Step 1: run the jobs scraper
jobs_run = client.actor("JOBS_ACTOR_ID").call(run_input={
    "query": "software engineer",
    "country": "us",
    "location": "New York",
})

# Step 2: pipe the dataset into the companies scraper
companies_run = client.actor("COMPANIES_ACTOR_ID").call(run_input={
    "datasetId": jobs_run["defaultDatasetId"],
    "country": "us",
})

for item in client.dataset(companies_run["defaultDatasetId"]).iterate_items():
    print(item["name"], item["ugcStats"]["ratings"]["overallRating"]["value"])

API example (JavaScript)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

// Step 1: run the jobs scraper
const jobsRun = await client.actor('JOBS_ACTOR_ID').call({
    query: 'product manager',
    country: 'fr',
});

// Step 2: pipe the dataset into the companies scraper
const companiesRun = await client.actor('COMPANIES_ACTOR_ID').call({
    datasetId: jobsRun.defaultDatasetId,
    country: 'fr',
});

const { items } = await client.dataset(companiesRun.defaultDatasetId).listItems();
console.log(items);

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FAQ

Is it legal to scrape Indeed company profiles? This Actor only extracts publicly available company profile data accessible via Indeed's API. It does not extract private user data, bypass authentication, or access anything that is not already public. We recommend using extracted data responsibly and in compliance with applicable laws in your jurisdiction, including GDPR in the EU. See Apify's blog post on the legality of web scraping for further context.

Why is JSON the recommended output format? The company profile schema is deeply nested — reviews are an array of objects each with their own per-category ratings, ugcStats contains multiple levels of sub-objects, and happiness scores span 13 dimensions. Flattening this to CSV without losing information requires post-processing decisions that vary by use case. Export as JSON and transform downstream. CSV is available on the Apify platform if you only need top-level scalar fields.

Why doesn't this Actor need proxies? This Actor operates at the API level rather than rendering web pages, which means it does not trigger the IP-based rate limiting that browser-based scrapers encounter.

How does the dataset pipe mode work? When you provide a datasetId, the Actor opens the dataset from your Indeed Jobs Scraper run, reads every item, extracts the job.employer.key field from each, deduplicates the keys, and fetches one full company profile per unique employer. A dataset of any size — even millions of job listings — will produce at most one profile per unique employer key.

What is the employees field format? The employees field is an encoded range string in the format ERv1_{lower}_{upper}, for example ERv1_201_500 (201–500 employees) or ERv1_10000_PLUS (10,000+ employees). These are Indeed's internal headcount bucket codes.

What is the revenue field format? Similar to employees, revenue is encoded as RRv1_{lower}_{upper} in millions, for example RRv1_5M_25M ($5M–$25M) or RRv1_1B_PLUS ($1B+).

Are reviews filtered by country? The reviews array in each response is filtered by the country and language input parameters you provide. The ugcStats.globalReviewCount field always reflects the worldwide total regardless of country filter. Use ugcStats.reviewCountForCountry and ugcStats.reviewCountForLocale for country-scoped counts.

What happens if Indeed changes its API? We monitor the Actor continuously. If an API change causes failures, we push a fix and announce it in the changelog.

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Issues and feedback

Found a bug or want to request a feature? Open a ticket in the Issues tab. We respond within 24 hours for active subscribers.