Clarification of the Object table and JSON output of company google ranking API made by Global Database

In this article, I will provide a clear understanding of the object table and JSON output generated by the Global Database company's Google ranking API. As a reader with programming knowledge and familiarity with these concepts, you likely recognize the importance of well-organized and structured data for efficient analysis and use in various applications. Therefore, it is essential to understand the object table and JSON output of the Google ranking API to effectively extract and utilize the data for further analysis or integration into other systems. By the end of this article, you should have a comprehensive understanding of the object table and JSON output of the Google ranking API, allowing you to make the most of the data it provides.

Table

• domain: Refers to the domain name of the website being analyzed.

• id: Refers to the unique identifier of the website.

• nameservers: Refers to the nameservers associated with the domain.

• mx_list: Refers to the mail exchange servers associated with the domain.

• contact_city: Refers to the city of the contact person for the domain.

• contact_country: Refers to the country of the contact person for the domain.

• created_at: Refers to the date and time when the website was created.

• ip: Refers to the IP address associated with the website.

• isp_name: Refers to the name of the Internet Service Provider (ISP) that hosts the website.

• isp_country: Refers to the country where the ISP is located.

• domain_creation_date: Refers to the date when the domain was created.

• domain_name: Refers to the name of the domain being analyzed.

• engagement_bounce_rate: Refers to the bounce rate of the website, which is the percentage of visitors who leave the website after visiting only one page.

• engagement_page_views: Refers to the number of pages viewed by visitors to the website.

• engagement_time_on_site: Refers to the average time visitors spend on the website.

• engagement_total_visits: Refers to the total number of visits to the website.

• engagement_total_relative_change: Refers to the percentage change in engagement metrics compared to the previous period.

• global_rank: Refers to the global Alexa rank of the website.

• global_rank_change: Refers to the percentage change in global rank compared to the previous period.

• category_rank: Refers to the Alexa rank of the website within its category.

• etc: This object may contain additional website metrics or data not specifically listed in the table.

The information presented in the table can be incredibly useful for individuals or organizations looking to gain insights into a website's performance and underlying characteristics. For instance, the domain object provides the domain name, which is crucial in identifying a website and understanding its purpose. The created_at object offers information on the date and time the website was created, which can help assess the age and experience of the website. Moreover, the engagement metrics such as engagement_bounce_rate, engagement_page_views, engagement_time_on_site, and engagement_total_visits can provide valuable information on user behavior and the quality of the website's content. The global_rank and category_rank objects can also provide insights into a website's visibility and competitiveness in search engine results. Overall, the information in the table can help inform decisions related to search engine optimization (SEO), online marketing, and website development.

Clarifying the JSON Output

The given JSON output provides a comprehensive set of data related to the website "novatech.co.uk". The output contains a variety of metrics and statistics about the website, such as its domain name, unique identifier, nameservers, and mail exchange servers. It also includes information on the website's creation date, IP address, and the name and country of the ISP hosting the website. Additionally, the output provides insights into the website's engagement metrics, such as the bounce rate, page views, and time on site. The global rank, category rank, and country rank are also listed, along with their corresponding changes. The output also provides information on the website's traffic sources, referrals, and top keywords. The technologies used by the website, such as Google Analytics, are also included. Finally, the output contains a graph displaying the website's visits and traffic sources over time, along with the total traffic and Alexa rank. Overall, the JSON output provides a comprehensive overview of the website's performance and characteristics, making it useful for analyzing and optimizing the website for various purposes.

{
"domain": "novatech.co.uk",
"id": 308874,
"nameservers": "hank.ns.cloudflare.com",
"mx_list": [
"novatech.co.uk.p10.mxguardian.net."
],
"contact_city": null,
"contact_country": null,
"contact_email": null,
"contact_name": null,
"contact_phone": null,
"contact_postalcode": null,
"contact_state": null,
"contact_street": null,
"contact_organization": null,
"raw": "TEXT",
"expiration_date": "2025-09-10T00:00:00",
"created_at": "2020-09-14T13:01:15.482566",
"ip": "104.20.46.31",
"isp_name": "CLOUDFLARENET",
"isp_country": "United States",
"domain_creation_date": "1996-08-28",
"domain_name": "novatech.co.uk",
"engagement_bounce_rate": "0.5325903646130219",
"engagement_page_views": 1140537.0,
"engagement_time_on_site": "00:02:55",
"engagement_total_visits": 303228,
"engagement_total_relative_change": null,
"global_rank": 119775,
"global_rank_change": null,
"category_rank": 4691,
"category_rank_change": null,
"country_rank": 6453,
"country_rank_change": null,
"similar_date": "2020-08-01T00:00:00",
"redirect_url": null,
"icon_url": "https://site-images.similarcdn.com/image?url=novatech.co.uk&t=1&h=f7a9874c2d9d3d85da032c743400e1f36a6fd02adc1ff24472192000f2c188c3",
"top_country_shares": [
{
"id": 33832425,
"similar_country_id": 826,
"share_percent": 0.803093404605964,
"share_change": null,
"name": "United Kingdom",
"similar_web_data_id": 16075338
},
//...
],
"referrals": [],
"keywords": [],
"referrals_destination": [],
"visits": [
{
"id": 1679,
"similar_web_data_id": 378,
"date_value": "2016-07-01",
"value": 1141493
},
//...
],
"stat_organic_search": 162916,
"stat_organic_search_percent": 53.7,
"stat_direct": 107862,
"stat_direct_percent": 35.6,
"stat_referral": 7253,
"stat_referral_percent": 2.4,
"technologies": [
{
"id": 2,
"list": [
{
"id": 2,
"name": "Google Analytics",
"image_path": "tech/1.png",
"description": "Google Analytics is a service offered by ...",
"category": 2
},
//...
],
"name": "Analytics",
"parent_id": null,
"important": false
},
//...
],
"graph": {
"visits": {
"categories": [],
"data": [
[
"2016-07-01",
1141493
],
//..
]
},
"sources": {
"organic": [
[
"2016-07-01",
613294.0
],
//..
],
"direct": [
[
"2016-07-01",
406046.0
],
//..
],
"referral": [
[
"2016-07-01",
27305.0
],
//...
]
}
},
"total_traffic": 30806206,
"up_visits": false,
"alexa_rank": 140443
}

Closing Up

We discussed the object table and JSON output of a Global Database company's Google ranking API. The table and JSON output contained various website metrics, engagement metrics, traffic sources, and other valuable information about a website's performance and characteristics. We described the objects listed in the table and provided a more detailed explanation of each object. We also analyzed the JSON output and discussed its usefulness in understanding a website's performance and optimizing it for various purposes. Overall, this conversation highlights the importance of data and metrics in website analysis and optimization, emphasizing the need for well-organized and structured data to make informed decisions about website development and online marketing strategies.

Reference

Interested parties can request access to the Global Database company's Google ranking API through Worldindata's third-party data marketplace. By leveraging this platform, users can easily request access to the API and access additional features such as pricing plans, data usage policies, and technical support. This streamlined process allows users to quickly integrate the API into their applications or systems, enabling them to make more informed decisions and optimize their online presence. The partnership between Global Database company and Worldindata provides a valuable resource for individuals and organizations looking to gain insights into website performance and optimize their online presence.