Bright Data | Glassdoor companies information dataset (Public web data)
# | timestamp |
name |
id |
ratings_overall |
details_size |
details_type |
company_type |
url_jobs |
url_reviews |
benefits_url |
details_headquarters |
details_revenue |
details_website |
interviews_url |
photos_url |
ratings_career_opportunities |
ratings_compensation_benefits |
ratings_cutlure_values |
ratings_diversity_inclusion |
ratings_senior_management |
ratings_work_life_balance |
salaries_url |
trand_track |
region |
fluid |
ratings_all_reviews_count |
ratings_business_outlook |
ratings_reviews_count |
reviews_count |
reviews |
ratings_recommend_to_friend |
competitors |
salaries_count |
url_faq |
diversity_inclusion_count |
diversity_inclusion_score |
ratings_diversity_inclusion_count |
ratings_ceo_approval |
trand |
career_opportunities_distribution |
interview_difficulty |
interviews_count |
experience |
getting_an_interview |
benefits_count |
details_industry |
url_overview |
ratings_ceo_approval_count |
details_founded |
jobs_count |
photos |
photos_count |
award_count_count |
updated_overview |
description |
mission |
glassdoor_awards |
faq |
ratings_rated_ceo |
changelog |
||
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1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx |
2 | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx |
3 | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx |
4 | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx |
5 | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx |
6 | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx |
7 | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx |
8 | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx |
9 | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx |
10 | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx |
... | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
timestamp
|
DateTime | 2022-11-29T00:00:00+00:00 | |
name
|
String | Native_infosite_overview_fluid_en-US | |
id
|
Integer | 862318 | |
ratings_overall
|
Float | 4.6 | |
details_size
|
String | 201 to 500 Employees | |
details_type
|
String | Company - Private | |
String | FR | Country Code Alpha-2 | |
company_type
|
String | Private | |
url_jobs
|
String | https://www.glassdoor.com/Jobs/Shippeo-Jobs-E862318.htm | |
url_reviews
|
String | https://www.glassdoor.com/Reviews/Shippeo-Reviews-E862318... | |
benefits_url
|
String | https://www.glassdoor.com/Benefits/Shippeo-US-Benefits-EI... | |
String | Shippeo | Company Name | |
details_headquarters
|
String | Paris, France | |
details_revenue
|
String | Unknown / Non-Applicable | |
details_website
|
String | http://www.shippeo.com/ | |
interviews_url
|
String | https://www.glassdoor.com/Interview/Shippeo-Interview-Que... | |
photos_url
|
String | https://www.glassdoor.com/Photos/Shippeo-Office-Photos-E8... | |
ratings_career_opportunities
|
Float | 4.5 | |
ratings_compensation_benefits
|
Float | 4.3 | |
ratings_cutlure_values
|
Float | 4.7 | |
ratings_diversity_inclusion
|
Float | 4.7 | |
ratings_senior_management
|
Float | 4.4 | |
ratings_work_life_balance
|
Float | 4.3 | |
salaries_url
|
String | https://www.glassdoor.com/Salary/Shippeo-Salaries-E862318... | |
trand_track
|
String | flat | |
region
|
String | EU | |
fluid
|
Integer | 1 | |
ratings_all_reviews_count
|
Integer | 44 | |
ratings_business_outlook
|
Float | 0.83 | |
ratings_reviews_count
|
Integer | 35 | |
reviews_count
|
Integer | 21 | |
reviews
|
String | [{"cons":"There are a lot of travels involved","count_hel... | |
ratings_recommend_to_friend
|
Float | 0.96 | |
competitors
|
String | Unknown | |
salaries_count
|
Integer | 32 | |
url_faq
|
String | https://www.glassdoor.com/FAQ/Shippeo-Questions-E862318.htm | |
diversity_inclusion_count
|
Integer | 24 | |
diversity_inclusion_score
|
Float | 4.7 | |
ratings_diversity_inclusion_count
|
Integer | 24 | |
ratings_ceo_approval
|
Float | 0.97 | |
trand
|
String | {"2020/12/27":4.4994,"2021/1/24":4.54105,"2021/10/24":4.5... | |
career_opportunities_distribution
|
String | {"2 Stars":1,"3 Stars":1,"4 Stars":5,"5 Stars":22} | |
interview_difficulty
|
Float | 2.8 | |
interviews_count
|
Integer | 21 | |
experience
|
String | {"negative":"19%","neutral":"19%","positive":"62%"} | |
getting_an_interview
|
String | {"applied_online":"68%","other":"11%","recruiter":"11%"} | |
benefits_count
|
Integer | 25 | |
details_industry
|
String | https://www.glassdoor.com/Explore/top-enterprise-software... | |
url_overview
|
String | https://www.glassdoor.com/Overview/Working-at-Shippeo-EI_... | |
ratings_ceo_approval_count
|
Integer | 27 | |
details_founded
|
Integer | 2014 | |
jobs_count
|
Integer | 25 | |
photos
|
String | https://media.glassdoor.com/lst2x/4e/dc/f3/87/shippeo.jpg... | |
photos_count
|
Integer | 19 | |
award_count_count
|
Integer | 2 | |
updated_overview
|
String | null | |
description
|
String | null | |
mission
|
String | null | |
glassdoor_awards
|
String | null | |
faq
|
String | null | |
ratings_rated_ceo
|
String | null | |
changelog
|
String | null |
Attribute | Type | Example | Mapping |
---|---|---|---|
Timestamp
|
2021-05-02T17:28:25.449Z | ||
URL
|
https://www.linkedin.com/organization-guest/company/amazon | ||
String | Amazon | Company Name | |
Slogan
|
When available | ||
Industries
|
Internet | ||
Followers
|
19156025 | ||
Stock Symbol
|
AMZN | ||
Funding rounds
|
2 total rounds | ||
Last funding round
|
Post IPO equity | ||
Money raised
|
US$ 100.0M | ||
Logo
|
logo_url | ||
Background Image
|
background_url | ||
String | 610444 | Company Employee Count | |
About
|
"Amazon is guided by four principles..." | ||
Locations
|
2127 7th Ave., Seattle, WA 98109, US | ||
Updates
|
"Jeff Bezos and Mary's Place recently welcomed..." | ||
Similar companies
|
|||
Affiliated pages
|
Amazon Web Services (AWS) | ||
Integer | 16551 | Company ID | |
String | 10,001+ employees | Company Employee Count | |
Headquarters Location
|
Seattle, WA | ||
Type
|
Public Company | ||
Specialties
|
e-Commerce, Retail, Operations, and Internet |
Description
Country Coverage
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Bright Data Glassdoor companies information dataset (Public web data)?
Use our Glassdoor dataset to find market trends, HR trends and business information on companies and how current and past employees perceive and rate them. Depending on your needs, you may purchase the entire dataset or a customized subset.
What is Bright Data Glassdoor companies information dataset (Public web data) used for?
This product has 5 key use cases. Bright Data recommends using the data for Business Intelligence (BI), Employment Analytics, Corporate Development, HR Strategy, and HR Intelligence. Global businesses and organizations buy Firmographic Data from Bright Data to fuel their analytics and enrichment.
Who can use Bright Data Glassdoor companies information dataset (Public web data)?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Firmographic Data. Get in touch with Bright Data to see what their data can do for your business and find out which integrations they provide.
Which countries does Bright Data Glassdoor companies information dataset (Public web data) cover?
This product includes data covering 245 countries like USA, China, Japan, Germany, and India. Bright Data is headquartered in United States of America.
How much does Bright Data Glassdoor companies information dataset (Public web data) cost?
Pricing information for Bright Data Glassdoor companies information dataset (Public web data) is available by getting in contact with Bright Data. Connect with Bright Data to get a quote and arrange custom pricing models based on your data requirements.
How can I get Bright Data Glassdoor companies information dataset (Public web data)?
Businesses can buy Firmographic Data from Bright Data and get the data via S3 Bucket, SFTP, Email, and Streaming API. Depending on your data requirements and subscription budget, Bright Data can deliver this product in .json and .csv format.
What is the data quality of Bright Data Glassdoor companies information dataset (Public web data)?
Bright Data has reported that this product has the following quality and accuracy assurances: 97% Success rate in real-time. You can compare and assess the data quality of Bright Data using Datarade’s data marketplace. Bright Data has received 5 reviews from clients. Bright Data appears on selected Datarade top lists ranking the best data providers, including Best 8 APIs for SEO Optimization, Best 6 SERP Tracking APIs for Accurate Monitoring, and Best +8 Web Scraping APIs to use in 2023.
What are similar products to Bright Data Glassdoor companies information dataset (Public web data)?
This product has 3 related products. These alternatives include Bright Data VentureRadar - company information dataset (Public web data), Coresignal Employee Data Company Data Global / 783M+ Records / 5 Years Of Historical Data / Updated Daily, and OpenWeb Ninja Glassdoor Data, Employer Reviews Data, Company Reviews Data from Glassdoor 2M+ Companies 80M+ Reviews Extensive Real-Time API. You can compare the best Firmographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.