域名和 URL 分类 API 是一款强大的工具,可以快速准确地识别任何给定网站的业务类别。该 API 使用先进的机器学习算法来分析网站的内容和结构,并确定其主要类别,如法律、商业、互联网和电信、新闻等。
该 API 的设计旨在易于使用,并可集成到任何现有应用程序或工作流程中,非常适合需要快速准确分类大量网站的企业。凭借其快速和准确的结果,该 API 可以为企业节省时间和资源,同时提供有关在线环境的宝贵洞察。
此外,该 API 始终保持最新,以便与最新行业动态保持同步,确保其始终可靠和准确。总体而言,域名和 URL 分类 API 是任何希望深入了解在线环境并做出数据驱动决策的企业必备工具。
该 API 将接收一个域名或 URL,并返回以下信息:
| 属性 | 描述 |
|---|---|
message |
根据您的查询是否成功返回错误消息或成功消息。 |
categories |
返回类别的名称及其置信分数的列表。 |
logo_url |
返回域名的徽标 URL。对于某些域名,徽标 URL 字段可能为空。 |
social_media |
返回域名所有社交媒体渠道的链接列表。对于某些域名,社交媒体字段可能为空。 |
full_path_url_mode |
[可选] 根据 URL 是否为完整路径返回 true 或 false。 |
full_path_url |
[可选] 返回我们用来获取数据的完整路径 URL。 |
objects |
返回公司和技术数据。公司对象返回有关公司的域名的信息,技术对象返回公司在内部和域名上使用的技术列表。对于某些域名,这两个属性可能为空。 |
success |
根据您的查询是否成功返回 true 或 false。 |
内容过滤:域名和 URL 分类 API 可用于过滤和阻止访问包含不当或有害内容的网站,如仇恨言论或非法活动。这对于需要确保员工或会员拥有安全和适当互联网访问的组织非常有用。
数字广告:该 API 可用于识别网站的业务类别,并针对特定受众投放在线广告。这对于希望接触特定目标人群或受众的企业非常有用。
市场研究:该 API 可用于分析特定业务类别(如电子商务)的环境,以帮助识别可以为业务战略提供信息的趋势和洞察。
网络安全:该 API 可用于识别和标记潜在可疑或恶意的网站,帮助组织保护自己免受网络攻击。
新闻监测:该 API 可用于分类新闻网站,并根据类别(如政治、体育、娱乐等)过滤新闻文章,使用户能够及时了解他们特定兴趣领域的最新新闻。
搜索引擎优化(SEO):该 API 可用于识别网站的业务类别,并确保其在搜索引擎上得到正确分类,这对于希望提高在线可见性并吸引更多流量到其网站的企业非常有用。
除了每月的 API 调用限制外,没有其他限制。
要使用此端点,您必须在参数中指明域的 URL
该域必须包含以下格式:http://cnn.com
域名 - 端点功能
| 对象 | 描述 |
|---|---|
url |
[必需] The domain that you want to classify. (ex: https://google.com) |
{"domain":{"categories":[{"confidence":0.59,"name":"\/Internet & Telecom"},{"confidence":0.52,"name":"\/Business & Industrial"}],"logo_url":"https:\/\/klazify.s3.amazonaws.com\/17444383516109863936005b3998f9a68.42097781.png","social_media":{"facebook_url":null,"twitter_url":null,"instagram_url":null,"medium_url":null,"youtube_url":"https:\/\/www.youtube.com\/?gl=US&tab=w1","pinterest_url":null,"linkedin_url":null,"github_url":null}},"success":true,"objects":{"company":{"name":"Google","city":"Mountain View","stateCode":"CA","countryCode":"US","employeesRange":"100K+","revenue":257637000000,"raised":null,"tags":["Internet","Publishers","Broadcasting","Information","Publishing","Web Search","Web & Client Portals","Technology","Web Services & Apps","Information Technology & Services","B2C","SAAS","B2B"],"tech":["google_apps","db2","media.net","grafana","marchex","oracle_crm","smartsheet","sybase","apache_kafka","sage_50cloud","splunk","oracle_endeca","informatica","appnexus","apache_http_server","apache_spark","ibm_infosphere","wrike","sap_hybris_marketing","couchbase","atlassian_fisheye","gitlab","dropbox","woo_commerce","workamajig","workday","atlassian_jira","sas_enterprise","oracle_cash_and_treasury_management","qliktech","thomson_reuters_eikon","flexera_software","entrust","tibco_spotfire","oracle_data_integrator","trello","baidu_analytics","ibm_websphere","sap_concur","xero","rabbitmq","cision","cloudera","apache_hadoop","couchdb","oracle_business_intelligence","aws_dynamodb","oracle_weblogic","aws_cloudwatch","openx","netsuite","atlassian_confluence","oracle_hyperion","kentico","microsoft_dynamics","hootsuite","quickbooks","successfactors","sap_crystal_reports","tibco_ems","apache_tomcat","microsoft_sql_server","hp_servers","hbase","basecamp","podio","oracle_peoplesoft","snaplogic","okta","the_trade_desk","interspire","fortinet","mongodb","microsoft_project","ibm_cognos","pubmatic","ibm_infosphere_datastage","pagerduty","alteryx","dell_boomi_atomsphere","sas_data_integration","episerver","peoplesoft_crm","pentaho","saleslogix","goldengate","sap_sales_order_management","jaspersoft","nimsoft","microsoft_teams","salesforce_marketing_cloud","sap_business_objects","tibco_rendezvous","sprinklr","qlikview","meltwater","salesforce","atlassian_crucible","sugarcrm","adp","aws_redshift","sailpoint","statcounter","teradata","sage_crm","yext","google_search_appliance","sage_intacct","webmethods","bluekai","apache_storm","palo_alto_networks","pivotal_tracker","github","rsa_securid","zoho_crm","goldmine","microstrategy","oracle_fusion","sap_hana","matomo","netsuite_crm","oracle_essbase","unbounce","liferay","five9","information_builders","ring_central","apache_maven","klarna","talend","clearslide","twilio","kronos","peoplesoft_sales","postgresql","gigya","gotomeeting","mysql","windows_server","soasta","progress_sitefinity","oracle_application_server","servicenow","applepay","oxid","adobe_marketing_cloud","paychex","gainsight","admeld","microsoft_power_bi","sitecore","sap_crm","cyberark","pipedrive","factset","qradar","netsuite_suitecommerce","salesforce_dmp","magnolia_cms","facebook_workplace","wix","neo4j","openid","hive","filemaker_pro","apache_cassandra","weebly_ecommerce","vmware_server","sap_human_capital_management","zedo"]}},"domain_registration_data":{"domain_age_date":"1997-09-15","domain_age_days_ago":"9165","domain_expiration_date":"2028-09-13","domain_expiration_days_left":"2155"},"similar_domains":["facebook.com","twitter.com","bing.com","instagram.com","reddit.com","altavista.com","discord.com","dogpile.com","github.com","linkedin.com"],"api_usage":{"this_month_api_calls":797,"remaining_api_calls":999203}}
curl --location --request POST 'https://zylalabs.com/api/972/domain+and+url+classification+api/805/domain?url=Required' --header 'Authorization: Bearer YOUR_API_KEY'
这个URL端点与域名端点的工作方式类似。区别在于,您可以在这个端点中对完整的URL路径进行分类,而不仅仅是根域名。
这个端点将帮助您检索传递给它的URL的类别。
仅传递 https://www.nytimes.com/ 将给您返回类别 "/新闻",因为这适用于根域名。
例如,这个来自纽约时报的URL https://www.nytimes.com/2022/06/30/business/stock-market-worst-start-50-years.html 指向一篇关于股市的文章。
在这种情况下,您将收到的类别是 "/金融/投资/股票与债券"
那么,让我们来看看这个查询返回的输出:
JSON输出:
{
"domain": {
"categories": [
{
"confidence": 0.66,
"name": "/金融/投资/股票与债券",
"IAB13-7": "投资"
},
{
"confidence": 0.63,
"name": "/新闻/商业新闻/金融市场新闻",
"IAB12": "新闻"
},
{
"confidence": 0.61,
"name": "/商业和工业"
}
],
"domain_url": "https://www.nytimes.com/2022/06/30/business/stock-market-worst-start-50-years.html",
"full_path_url_mode": true,
"full_path_url": "https://www.nytimes.com/2022/06/30/business/stock-market-worst-start-50-years.html",
"logo_url": "https://klazify.s3.amazonaws.com/14652822421616684534605ca5f699fa97.92018864.png",
"social_media": {
"facebook_url": null,
"twitter_url": "https://twitter.com/nytopinion/status/1380679753728983040",
"instagram_url": null,
"medium_url": null,
"youtube_url": null,
"pinterest_url": null,
"linkedin_url": null,
"github_url": null
},
"updated_at": "2022-06-30T21:35:37.000000Z"
},
"success": true,
"objects": {
"company": {
"name": "纽约时报",
"city": "纽约",
"stateCode": "NY",
"countryCode": "US",
"employeesRange": "1万-5万",
"revenue": null,
"raised": null,
"tags": [
"出版",
"媒体",
"B2C"
]错误 - 端点功能
| 对象 | 描述 |
|---|---|
url |
[必需] The full path URL that you want to retrieve the category and information from. |
{"domain":{"categories":[{"confidence":0.59,"name":"\/Internet & Telecom"},{"confidence":0.52,"name":"\/Business & Industrial"}],"logo_url":"https:\/\/klazify.s3.amazonaws.com\/17444383516109863936005b3998f9a68.42097781.png","social_media":{"facebook_url":null,"twitter_url":null,"instagram_url":null,"medium_url":null,"youtube_url":"https:\/\/www.youtube.com\/?gl=US&tab=w1","pinterest_url":null,"linkedin_url":null,"github_url":null}},"success":true,"objects":{"company":{"name":"Google","city":"Mountain View","stateCode":"CA","countryCode":"US","employeesRange":"100K+","revenue":257637000000,"raised":null,"tags":["Internet","Publishers","Broadcasting","Information","Publishing","Web Search","Web & Client Portals","Technology","Web Services & Apps","Information Technology & Services","B2C","SAAS","B2B"],"tech":["google_apps","db2","media.net","grafana","marchex","oracle_crm","smartsheet","sybase","apache_kafka","sage_50cloud","splunk","oracle_endeca","informatica","appnexus","apache_http_server","apache_spark","ibm_infosphere","wrike","sap_hybris_marketing","couchbase","atlassian_fisheye","gitlab","dropbox","woo_commerce","workamajig","workday","atlassian_jira","sas_enterprise","oracle_cash_and_treasury_management","qliktech","thomson_reuters_eikon","flexera_software","entrust","tibco_spotfire","oracle_data_integrator","trello","baidu_analytics","ibm_websphere","sap_concur","xero","rabbitmq","cision","cloudera","apache_hadoop","couchdb","oracle_business_intelligence","aws_dynamodb","oracle_weblogic","aws_cloudwatch","openx","netsuite","atlassian_confluence","oracle_hyperion","kentico","microsoft_dynamics","hootsuite","quickbooks","successfactors","sap_crystal_reports","tibco_ems","apache_tomcat","microsoft_sql_server","hp_servers","hbase","basecamp","podio","oracle_peoplesoft","snaplogic","okta","the_trade_desk","interspire","fortinet","mongodb","microsoft_project","ibm_cognos","pubmatic","ibm_infosphere_datastage","pagerduty","alteryx","dell_boomi_atomsphere","sas_data_integration","episerver","peoplesoft_crm","pentaho","saleslogix","goldengate","sap_sales_order_management","jaspersoft","nimsoft","microsoft_teams","salesforce_marketing_cloud","sap_business_objects","tibco_rendezvous","sprinklr","qlikview","meltwater","salesforce","atlassian_crucible","sugarcrm","adp","aws_redshift","sailpoint","statcounter","teradata","sage_crm","yext","google_search_appliance","sage_intacct","webmethods","bluekai","apache_storm","palo_alto_networks","pivotal_tracker","github","rsa_securid","zoho_crm","goldmine","microstrategy","oracle_fusion","sap_hana","matomo","netsuite_crm","oracle_essbase","unbounce","liferay","five9","information_builders","ring_central","apache_maven","klarna","talend","clearslide","twilio","kronos","peoplesoft_sales","postgresql","gigya","gotomeeting","mysql","windows_server","soasta","progress_sitefinity","oracle_application_server","servicenow","applepay","oxid","adobe_marketing_cloud","paychex","gainsight","admeld","microsoft_power_bi","sitecore","sap_crm","cyberark","pipedrive","factset","qradar","netsuite_suitecommerce","salesforce_dmp","magnolia_cms","facebook_workplace","wix","neo4j","openid","hive","filemaker_pro","apache_cassandra","weebly_ecommerce","vmware_server","sap_human_capital_management","zedo"]}},"domain_registration_data":{"domain_age_date":"1997-09-15","domain_age_days_ago":"9165","domain_expiration_date":"2028-09-13","domain_expiration_days_left":"2155"},"similar_domains":["facebook.com","twitter.com","bing.com","instagram.com","reddit.com","altavista.com","discord.com","dogpile.com","github.com","linkedin.com"],"ZylaLabs":"CA"}
curl --location --request POST 'https://zylalabs.com/api/972/domain+and+url+classification+api/806/url?url=https://google.com' --header 'Authorization: Bearer YOUR_API_KEY'
此端点的工作方式类似于域名端点。
只需传递您想要获取信息的电子邮件域名。您将能够对您的电子邮件数据库进行分类,并识别是否有组织可能成为特别优惠的目标,或者潜在的合作关系,或者仅仅是识别符合您电子邮件数据库的商业类别。
让我们看一下咨询亚马逊域名的输出:
http://zylalabs.com/api/12/klazify/49/[email protected]
JSON 输出:
{
"domain": {
"categories": [
{
"confidence": 0.77,
"name": "/商业与工业"
},
{
"confidence": 0.5,
"name": "/新闻",
"IAB12": "新闻"
}
],
"logo_url": "https://klazify.s3.amazonaws.com/211822026716109864126005b3ac209d70.36239145.png",
"social_media": null,
"updated_at": "2022-04-28T18:12:00.000000Z"
},
"success": true,
"objects": {
"company": {
"name": "亚马逊",
"city": "西雅图",
"stateCode": "WA",
"countryCode": "US",
"employeesRange": "100K+",
"revenue": 386064000000,
"raised": null,
"tags": [
"电子商务",
"互联网",
"电子商务与市场",
"技术",
"B2C"
]电子邮件 - 端点功能
| 对象 | 描述 |
|---|---|
url |
[必需] Pass the email that you want to retrieve the information from the domain. |
{"domain":{"categories":[{"confidence":0.86,"name":"\/Games\/Gambling"},{"confidence":0.83,"name":"\/Games\/Card Games\/Poker & Casino Games","IAB9-7":"Card Games","IAB-271-269":"Card Games\/Hobbies & Interests\/Games and Puzzles\/Card Games"}],"domain_url":"https:\/\/77wsg.com","logo_url":"https:\/\/klazify.s3.amazonaws.com\/6922779531702728771657d9443c46883.36461529.png","social_media":null},"success":true,"api_usage":{"this_month_api_calls":803,"remaining_api_calls":999197}}
curl --location --request POST 'https://zylalabs.com/api/972/domain+and+url+classification+api/807/email?url=http://klazify.com' --header 'Authorization: Bearer YOUR_API_KEY'
| 标头 | 描述 |
|---|---|
授权
|
[必需] 应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。 |
无长期承诺。随时升级、降级或取消。
每个端点返回与域名或网址分类相关的数据。域名和网址端点提供类别、置信度分数、标志网址、社交媒体链接以及公司/技术信息。电子邮件端点类似地对电子邮件域进行分类,提供有关关联公司的见解
关键字段包括“类别”(带有名称和置信度分数)、“logo_url”、“社交媒体”链接、“成功”状态,以及包含公司和技术数据的“对象”。每个字段提供了对领域或网址分类的重要见解
响应数据采用JSON格式结构,包含一个主要的“domain”对象,其中包含分类细节,一个“success”布尔值,以及一个用于公司和技术信息的“objects”部分。这种组织方式便于解析和集成到应用程序中
域名和URL终端提供业务类别、信心级别、标志、社交媒体链接以及公司/技术细节 电子邮件终端为电子邮件域提供类似的分类,帮助用户理解其电子邮件数据库的业务背景
用户可以通过指定他们希望分类的域名、URL或电子邮件域来自定义请求 端点以标准格式接受这些输入(例如,对于域名使用"http://cnn.com") 允许根据用户需求进行定制查询
典型的用例包括内容过滤数字广告定位市场研究网络安全措施新闻监测和搜索引擎优化 企业利用API获取网站分类的见解并增强其在线策略
数据准确性通过先进的机器学习算法和不断更新的数据库得以维持 API定期整合新信息和趋势 确保反映当前在线环境的可靠分类
用户可以通过分析类别和置信度得分来利用返回的数据以指导决策,例如筛选内容或定位广告。徽标和社交媒体链接增强品牌识别,而公司数据有助于市场分析
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