
Bright Data | Glassdoor companies information dataset (Public web data)
# | timestamp |
name |
id |
ratings_overall |
details_size |
details_type |
country_code |
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 | |
country_code
|
String | FR | |
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
Geography
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 Crunchbase dataset to map your ecosystem for strategic business decision-making and competitive analysis and to collect business information about private and public companies. Find investment opportunities, track company growth for CRM enrichment, and identify industry trends.
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 1 review from clients.
What are similar products to Bright Data Glassdoor companies information dataset (Public web data)?
This Data Platform has 3 related products. These alternatives include Bright Data Crunchbase companies information datasets (Public web data), Multimedia Lists - Business Firmographic & Ownership, Address Data USA (119 Million businesses), and Contora’s Hiring Activity dataset on 5,400 US public companies. You can compare the best Firmographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.