The DomainAppraisal API enables you to rapidly retrieve data related to a given registered domain name.
The domain appraisal service doesn't take parameters.
| Name | Description |
|---|---|
| sld | Returns the sld, Second-Level Domain: domain minus the extension. |
| tld | Returns the tld, Top-Level Domain: the extension of the domain. |
| words | Returns the words which were parsed. |
| language | Returns the language of the parsed words. |
| language_probability | Returns the probability that this is the language. |
| appraised_value | Returns the appraised value. |
| appraised_wholesale_value | Returns the appraised wholesale value. |
| search_results_phrase | Returns the SERP (Search Engine Results Page) results for the words within a domain, with quotes. |
| search_ads | Returns the advertising count for the above SERP search. |
| search_suggestion_phrase | Returns the "did you mean" suggestion, if available. used to detect typos sometimes. |
| search_results_sld | Returns the search results count for the domain minus extension (ex: eurodns.com => "eurodns") with quotes. |
| search_ads_sld | Returns the advertising count for the above SLD search. |
| search_suggestion_sld | Returns the "did you mean" suggestion, if available. used to detect typos sometimes. |
| fast_appraisal | Whether this query ran in "fast appraisal" mode. |
| using_previous_sales_data | Whether or not previous sales data was used to appraise this domain. |
| pagerank | Returns the Google page rank of the domain. |
| overture_tld | Returns the overture score (term popularity) for the TLD (from archive). |
| overture_sld | Returns the overture score (term popularity) for the SLD (from archive). |
| overture_term | Returns the overture score (amount of references) for the words (from archive). |
| word_tracker_sld | Returns the word tracker score (term popularity) for the SLD (from archive). |
| word_tracker_term | Returns the word tracker score (term popularity) for the words (from archive). |
| alexa_traffic_rank | Returns the alexa traffic rank. |
| alexa_trend | Returns the alexa trend. |
| alexa_link_popularity | Returns the alexa link popularity. |
| dmoz_listed | Whether or not the domain is dmoz listed (from archive). |
| is_adult | Whether or not this domain is adult. |
| trademark_type | Returns type of trademark match. |
| trademark_term | Returns the trademarked word. |
| trademark_company | Returns the trademark company. |
| trademark_risk | Returns the risk associated with this trademark. |
| trademark_probability | Returns the probability this is a trademark match. |
| com_taken | Whether or not extension is taken. |
| net_taken | Whether or not extension is taken. |
| org_taken | Whether or not extension is taken. |
| biz_taken | Whether or not extension is taken. |
| info_taken | Whether or not extension is taken. |
| us_taken | Whether or not extension is taken. |
| total_extensions_used | Returns total number of registered extensions. |
| local_search_volume | Returns the local search volume, return the number of request for this word. |
| avg_search_volume | Returns the average monthly searches volume. |
| keyword | Returns the keywords between brackets and each keyword separate with a space. |
| avg_cpc | Returns the average "cost per click". |
| type | "broad" if search data for broad term, returns "exact" if search data for exact term. |
| avg_competition | The average competition, can return "high", "medium" or "low". |
| price | Returns price of the related domain name sale. |
| source | Returns the marketplace name, by example "Sedo", "DNJournal", etc. |
| domain | Returns Domain name. |
| type | Returns the type: "flexible_keywords", "exact_keywords". |
| date | Returns Sale date, format: yyyy-mm-dd. |
{
"service":"domain_appraisal",
"domain":"example.com",
"timestamp":123456790,
"content": {
"results": {
"appraisal": {
"info_taken":"no",
"using_previous_sales_data":"yes",
"pagerank":"8",
"appraiser_version":"1.4.9",
"overture_term":"8117",
"dmoz_listed":"no","search_ads":"0",
"word_tracker_sld":"136",
"search_suggestion_phrase":"",
"us_taken":"no",
"words":"example",
"keyword_stats": [
{
"local_search_volume":"9125600",
"avg_search_volume":"24888000",
"keyword":"example",
"avg_cpc":"0.93",
"type":"broad",
"avg_competition":"low"
},
{
"local_search_volume":"49410",
"avg_search_volume":"367220",
"keyword":"[example]",
"avg_cpc":"0.93",
"type":"exact",
"avg_competition":"low"
}
],
"biz_taken":"no",
"domain":"example.com",
"appraised_wholesale_value":"5900",
"sld":"example",
"search_suggestion_sld":"",
"trademark_risk":"0",
"search_results_phrase":"100000000",
"trademark_company":"",
"sales_history": [
{
"price":"3000",
"source":"Sedo",
"domain":"examples.net",
"sld":"examples",
"type":"exact_keywords",
"date":"2010-12-16",
"tld":"net"
},
{
"price":"3100",
"source":"NoktaDomains",
"domain":"cvexamples.co.uk",
"sld":"cvexamples",
"type":"exact_keywords",
"date":"2010-03-23",
"tld":"co.uk"
},
{
"price":"1105",
"source":"N\A",
"domain":"examplehome.net",
"sld":"examplehome",
"type":"exact_keywords",
"date":"2008-01-01","tld":"net"
},
{
"price":"3000",
"source":"Sedo",
"domain":"examples.net",
"sld":"examples",
"type":"flexible_keywords",
"date":"2010-12-16",
"tld":"net"
},
{
"price":"3100",
"source":"NoktaDomains",
"domain":"cvexamples.co.uk",
"sld":"cvexamples",
"type":"flexible_keywords",
"date":"2010-03-23",
"tld":"co.uk"
},
{
"price":"1105",
"source":"N\/A",
"domain":"examplehome.net",
"sld":"examplehome",
"type":"flexible_keywords",
"date":"2008-01-01",
"tld":"net"
}
],
"trademark_term":"",
"language_probability":"100.0",
"search_results_sld":"100000000",
"alexa_trend":"8102",
"alexa_link_popularity":"20164",
"search_ads_sld":"0",
"appraised_value":"108000",
"trademark_type":"",
"overture_sld":"8117",
"word_tracker_term":"136",
"trademark_probability":"0.0",
"total_extensions_used":"3",
"org_taken":"yes",
"overture_tld":"1466",
"is_adult":"no",
"com_taken":"yes",
"language":"english",
"net_taken":"yes",
"tld":"com",
"fast_appraisal":"no",
"alexa_traffic_rank":"9778"
}
}
}
}
<?xml version="1.0" encoding="UTF-8"?></span>
<span class="ta"><response>
<service>domain_appraisal</service>
<domain>example.com</domain>
<timestamp>1234567890</timestamp>
<content>
<results>
<appraisal>
<info_taken>no</info_taken>
<using_previous_sales_data>yes</using_previous_sales_data>
<pagerank>8</pagerank>
<appraiser_version>1.4.9</appraiser_version>
<overture_term>8117</overture_term>
<dmoz_listed>no</dmoz_listed>
<search_ads>0</search_ads>
<word_tracker_sld>136</word_tracker_sld>
<search_suggestion_phrase />
<us_taken>no</us_taken>
<words>example</words>
<keyword_stats>
<search>
<local_search_volume>9125600</local_search_volume>
<avg_search_volume>24888000</avg_search_volume>
<keyword>example</keyword>
<avg_cpc>0.93</avg_cpc>
<type>broad</type>
<avg_competition>low</avg_competition>
</search>
<search>
<local_search_volume>49410</local_search_volume>
<avg_search_volume>367220</avg_search_volume>
<keyword>[example]</keyword>
<avg_cpc>0.93</avg_cpc>
<type>exact</type>
<avg_competition>low</avg_competition>
</search>
</keyword_stats>
<biz_taken>no</biz_taken>
<domain>example.com</domain>
<appraised_wholesale_value>5900</appraised_wholesale_value>
<sld>example</sld>
<search_suggestion_sld />
<trademark_risk>0</trademark_risk>
<search_results_phrase>100000000</search_results_phrase>
<trademark_company />
<sales_history>
<sold>
<price>3000</price>
<source>Sedo</source>
<domain>examples.net</domain>
<sld>examples</sld>
<type>exact_keywords</type>
<date>2010-12-16</date>
<tld>net</tld>
</sold>
<sold>
<price>3100</price>
<source>NoktaDomains</source>
<domain>cvexamples.co.uk</domain>
<sld>cvexamples</sld>
<type>exact_keywords</type>
<date>2010-03-23</date>
<tld>co.uk</tld>
</sold>
<sold>
<price>1105</price>
<source>N/A</source>
<domain>examplehome.net</domain>
<sld>examplehome</sld>
<type>exact_keywords</type>
<date>2008-01-01</date>
<tld>net</tld>
</sold>
<sold>
<price>3000</price>
<source>Sedo</source>
<domain>examples.net</domain>
<sld>examples</sld>
<type>flexible_keywords</type>
<date>2010-12-16</date>
<tld>net</tld>
</sold>
<sold>
<price>3100</price>
<source>NoktaDomains</source>
<domain>cvexamples.co.uk</domain>
<sld>cvexamples</sld>
<type>flexible_keywords</type>
<date>2010-03-23</date>
<tld>co.uk</tld>
</sold>
<sold>
<price>1105</price>
<source>N/A</source>
<domain>examplehome.net</domain>
<sld>examplehome</sld>
<type>flexible_keywords</type>
<date>2008-01-01</date>
<tld>net</tld>
</sold>
</sales_history>
<trademark_term />
<language_probability>100.0</language_probability>
<search_results_sld>100000000</search_results_sld>
<alexa_trend>8102</alexa_trend>
<alexa_link_popularity>20164</alexa_link_popularity>
<search_ads_sld>0</search_ads_sld>
<appraised_value>108000</appraised_value>
<trademark_type />
<overture_sld>8117</overture_sld>
<word_tracker_term>136</word_tracker_term>
<trademark_probability>0.0</trademark_probability>
<total_extensions_used>3</total_extensions_used>
<org_taken>yes</org_taken>
<overture_tld>1466</overture_tld>
<is_adult>no</is_adult>
<com_taken>yes</com_taken>
<language>english</language>
<net_taken>yes</net_taken>
<tld>com</tld>
<fast_appraisal>no</fast_appraisal>
<alexa_traffic_rank>9778</alexa_traffic_rank>
</appraisal>
</results>
</content>
</response>