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

Jump to Tips and tricksTips and tricks

  • Column names can’t be changed
  • The order of columns can be changed
  • The number of columns can be increased
  • Semrush will only remove old columns after notifying users

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: January 30, 2026

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