Resources

Jump to Industry categoriesIndustry categories

To obtain a list of all domains within specific industry categories from the Industry Categories report, select the relevant category values from the list and specify them in the request parameters:

Value
Market Overview business category
accounting_and_auditing
Accounting & Auditing
adult
Adult
advertising_and_marketing
Advertising & Marketing
aerospace_and_defense
Aerospace & Defense
agriculture
Agriculture
airlines
Airlines
apparel_and_fashion
Apparel & Fashion
architecture
Architecture
automotive
Automotive
banking
Banking
beauty_and_cosmetics
Beauty & Cosmetics
biotech
Biotech
ceramics_and_pottery
Ceramics & Pottery
chemicals
Chemicals
civil_engineering
Civil Engineering
comics_and_animation
Comics & Animation
computer_and_video_games
Computer & Video Games
computer_hardware
Computer Hardware
computer_software_and_development
Computer Software & Development
computers_and_electronics
Computers & Electronics
construction_and_maintenance
Construction & Maintenance
consulting
Consulting
consumer_electronics
Consumer Electronics
crafts
Crafts
customer_services
Customer Services
design
Design
distance_learning
Distance Learning
ecology_and_environment
Ecology & Environment
education
Education
entertainment
Entertainment
equipment_and_supplies
Equipment & Supplies
events_services
Events Services
facilities_services
Facilities Services
farms_and_ranches
Farms & Ranches
finance
Finance
fishery
Fishery
food_and_beverages
Food & Beverages
foreign_language
Foreign Language
furniture
Furniture
gambling
Gambling
government
Government
graphic_design
Graphic Design
healthcare
Healthcare
hospitality
Hospitality
human_resources
Human Resources
import_and_export
Import & Export
information_technology
Information Technology
insurance
Insurance
investment
Investment
jewelry_and_luxury_products
Jewelry & Luxury Products
legal
Legal
libraries
Libraries
machinery
Machinery
mail_and_package_delivery
Mail & Package Delivery
manufacturing
Manufacturing
maritime
Maritime
market_research
Market Research
mass_media
Mass Media
medical_devices_and_equipment
Medical Devices & Equipment
mental_health
Mental Health
metals_and_mining
Metals & Mining
military
Military
museums
Museums
music
Music
nanotechnology
Nanotechnology
newspapers
Newspapers
nonprofit_organizations
Nonprofit Organizations
oil_and_gas
Oil & Gas
online_services
Online Services
outsourcing
Outsourcing
packaging_and_containers
Packaging & Containers
performing_arts
Performing Arts
pharmaceuticals
Pharmaceuticals
photography
Photography
plastics_and_polymers
Plastics & Polymers
political_organizations
Political Organizations
printing
Printing
public_policy
Public Policy
public_relations
Public Relations
public_safety
Public Safety
public_utility
Public Utility
publishing
Publishing
real_estate
Real Estate
recreational_facilities
Recreational Facilities
recruitment_and_staffing
Recruitment & Staffing
reference
Reference
religion_and_belief
Religion & Belief
renewable_energy
Renewable Energy
restaurants
Restaurants
retail
Retail
science
Science
security_products_and_services
Security Products & Services
social_and_charitable_organizations
Social & Charitable Organizations
sporting_goods
Sporting Goods
sports
Sports
telecom
Telecom
textiles_and_nonwovens
Textiles & Nonwovens
tobacco
Tobacco
training_and_certification
Training & Certification
transportation_and_logistics
Transportation & Logistics
travel_and_tourism
Travel & Tourism
tv_and_movies
Tv & Movies
venture_capital
Venture Capital
veterinary
Veterinary
visual_art
Visual Art
warehousing
Warehousing
wellness
Wellness
wholesalers_and_liquidators
Wholesalers & Liquidators
wine_and_spirits
Wine & Spirits
writing_and_editing_services
Writing & Editing Services

Jump to ColumnsColumns

Each Trends API method supports a set of output columns that determine the data returned in the CSV response.

You can customize your request using the export_columns parameter to include only the fields relevant to your analysis.

The following table indicates:

  • Parameter (the export_columns parameter value same as the column name in the CSV report)
  • Description of what each column represents
  • Possible values to help interpret the results (if applicable)
  • API methods where the columns are used
Parameter
Description
API methods
accuracy
Accuracy of the data. Possible values: 1, 2, 3, where 3 indicates high accuracy.
age
User age group, such as 18-24 or 25-34.
age_18_24
Users aged between 18 and 24 years.
age_25_34
Users aged between 25 and 34 years.
age_35_44
Users aged between 35 and 44 years.
age_45_54
Users aged between 45 and 54 years.
age_55_64
Users aged between 55 and 64 years.
age_65_plus
Users aged 65 years and older.
ai_assistants
Traffic from AI assistant platforms. For example, chat-based assistants like ChatGPT.
ai_assistants_traffic
Traffic from AI assistant platforms.
ai_search
Traffic from AI-powered search engines.
ai_search_traffic
Traffic from AI-powered search engines.
avg_visit_duration
Average amount of time spent viewing an analyzed competitor.
bounce_rate
Percentage of single-page sessions.
bounced_visits
Number of single-page sessions.
categories
Industry categories related to the site. Can include several categories, for example: online_services;retail.
category
Industry category related to the site.
channel
Channel type. Possible values: direct, referral, search, social, mail, display_ad, ai_assistants, ai_search.
conversion
Percentage of sessions that ended with a purchase, identified by visits to a unique “thank you” page confirming a completed order or transaction.
conversion_rate
Estimated percentage of sessions that ended with a checkout.
country_code
Standardized 2-letter code representing the country.
desktop_share
Proportion of total traffic that came from desktops.
direct
Traffic from users typing in the URL or using bookmarks.
direct_traffic
Traffic from users typing in the URL or using bookmarks.
display_ad
Traffic from banner or display advertising.
display_ad_traffic
Traffic from banner or display advertising.
domain
The domain being analyzed, such as example.com.
domain_name
The domain being analyzed, such as example.com.
edu_level_compulsory_school
Users with compulsory school education.
edu_level_none_completed
Users without any completed formal education.
edu_level_post_graduate_education
Users with postgraduate-level education.
edu_level_university
Users with a university-level education.
email_traffic
Traffic from email campaigns.
entrance_traffic
Traffic entering through a specific page.
entrances
Number of times users entered through a specific page.
exits
Number of times users exited from a specific page.
facebook_traffic
Traffic coming from Facebook.
female
Share of female users in the total number of users.
female_18_24
Female users aged 18–24.
female_25_34
Female users aged 25–34.
female_35_44
Female users aged 35–44.
female_45_54
Female users aged 45–54.
female_55_64
Female users aged 55–64.
female_65_plus
Female users aged 65+.
female_share
Percentage share of female users.
female_users
Total number of female users.
from_target
The target where users came from before landing on the domain.
high_income
Users classified as high-income.
hits
Total number of pageviews on the target—domain, subdomain, subfolder, or specific page.
household_size_1
Users in a 1-person household.
household_size_10plus
Users in households with 10 or more people.
household_size_2
Users in a 2-person household.
household_size_3
Users in a 3-person household.
household_size_4
Users in a 4-person household.
household_size_5
Users in a 5-person household.
household_size_6
Users in a 6-person household.
household_size_7
Users in a 7-person household.
household_size_8
Users in a 8-person household.
household_size_9
Users in a 9-person household.
income_type
Income classification for the user: high, middle, or low.
instagram_traffic
Traffic from Instagram.
is_adult
Indicates whether adult content sites are displayed in the results. Possible values: true, false.
is_forecasted
Indicates if the data is forecated. Possible values: true, false.
linkedin_traffic
Traffic coming from LinkedIn.
low_income
Users classified as low-income.
mail
Traffic from email campaigns.
male
Share of male users in the total number of users.
male_18_24
Male users aged 18–24.
male_25_34
Male users aged 25–34.
male_35_44
Male users aged 35–44.
male_45_54
Male users aged 45–54.
male_55_64
Male users aged 55–64.
male_65_plus
Male users aged 65+.
male_share
Percentage share of male users.
male_users
Total number of male users.
middle_income
Users classified as middle-income.
mobile_bounce_rate
Bounce rate specific to users on mobile devices.
mobile_hits
Number of tracked interactions or pageviews from mobile devices.
mobile_pages_per_visit
Number of pages viewed during a single session from mobile devices.
mobile_share
Proportion of total traffic that came from mobile devices.
mobile_users
Number of unique users accessing via mobile devices.
mobile_visits
Total number of sessions initiated from mobile devices.
occupation
General occupation or employment category of users.
occupation_fulltimework
Users employed in full-time positions.
occupation_homemaker
Users whose primary occupation is homemaking.
occupation_leaveofabsence
Users temporarily out of work due to health or family leave.
occupation_ownbusiness
Users running their own businesses.
occupation_parentalleave
Users on maternity or paternity leave.
occupation_parttimework
Users working part-time jobs.
occupation_retired
Users who are retired from the workforce.
occupation_studies
Users currently studying.
occupation_unemployed
Users who are currently unemployed.
overlap_score
Score indicating the level of audience overlap between the domains.
overlap_users
Number of unique visitors to both the listed and analyzed domains.
page
Analyzed page.
pages_per_visit
Number of pages viewed during a single session.
paid
Traffic from all paid sources, including ads.
pinterest_traffic
Traffic originating from Pinterest.
prev_traffic
Traffic from the previous month for comparison.
rank
Ranking of the target based on traffic volume, where 1 indicates the highest traffic.
reddit_traffic
Traffic coming from Reddit.
referral_traffic
Refferal traffic.
report_date
Report date.
search
Total search engine traffic (organic and paid).
search_organic
Traffic from unpaid search results.
search_organic_traffic
Traffic from unpaid search results.
search_paid
Traffic from paid search ads.
search_paid_traffic
Traffic from paid search ads.
similarity_score
Percentage of audience overlap between the domains and the selected domains.
size
Household size. Possible values: 1-10+, where 1 is a 1-person household and 10+ is households with 10 or more people.
social
Traffic from all social media sources.
social_domain
Domain of the social platform, such as facebook.com.
social_name
Name of the social platform, such as Facebook or Twitter)
social_organic
Unpaid traffic from social platforms.
social_organic_traffic
Unpaid traffic from social platforms.
social_paid
Paid traffic from social media advertising.
social_paid_traffic
Paid traffic from social media advertising.
subdomain
Subdomain of the target site. For example: blog.example.com.
subfolder
Specific path or folder within a site. For example: /products/shoes.
sum_time_on_site
Total time users spent on the site.
target_type
Type of the analyzed target. Possible values: domain, subdomain.
target_users
Total number of users for the target domain.
time_on_site
Average time spent on the site per session.
time_on_subfolder
Average time spent within a specific subfolder.
to_target
The target where users go after visiting the domain.
total_traffic
Combined traffic from all sources.
total_users
Combined count of all unique users.
total_visits
Total number of visits.
traffic_diff
Change in traffic compared to a previous time period.
traffic_share
Percentage of total traffic coming to the site compared to competitors.
traffic_type
Traffic type. Possible values: organic, paid.
twitter_traffic
Traffic coming from Twitter.
unique_pageviews
Number of distinct pageviews by unique users.
unique_visitors
Number of distinct users visiting the site.
unknown_channel
Traffic for which the source channel could not be determined or classified.
users_by_target
Number of users visiting or associated with a specific target.
users_captured
Users successfully identified and tracked—for example, via login, cookies, or CRM.
users_score
Score representing user value or relevance for targeting or analysis.
users_share
Share of users with a specific occupational category.
vk_traffic
Traffic from VK.
youtube_traffic
Traffic from YouTube.

Jump to Geo type codesGeo type codes

In the Geo Distribution report, the geo_type parameter determines how geographical data is segmented. If the value of geo_type is set to either continent or subcontinent, the geo column will be populated with the corresponding region codes:

Geo name
Geo type
Code
SouthAmerica
Subcontinent
005
WesternAfrica
Subcontinent
011
CentralAmerica
Subcontinent
013
EasternAfrica
Subcontinent
014
NorthernAfrica
Subcontinent
015
MiddleAfrica
Subcontinent
017
SouthernAfrica
Subcontinent
018
NorthernAmerica
Subcontinent
021
Caribbean
Subcontinent
029
EasternAsia
Subcontinent
030
SouthernAsia
Subcontinent
034
SouthEasternAsia
Subcontinent
035
SouthernEurope
Subcontinent
039
AustraliaAndNewZealand
Subcontinent
053
Melanesia
Subcontinent
054
Micronesia
Subcontinent
057
Polynesia
Subcontinent
061
CentralAsia
Subcontinent
143
WesternAsia
Subcontinent
145
EasternEurope
Subcontinent
151
NorthernEurope
Subcontinent
154
WesternEurope
Subcontinent
155
Africa
Continent
002
SubSaharanAfrica
Continent
202
LatinAmericaAndTheCaribbean
Continent
419
Americas
Continent
019
Asia
Continent
142
Europe
Continent
150
Oceania
Continent
009

Jump to ErrorsErrors

If you send a wrong request, you will receive a 400 HTTP code. You will also get an error message that explains the problem and how to fix it.

For a list of possible error messages, refer to Error messages.

Last updated: July 20, 2026

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