Features
Features or feature IDs are a way to codify a set of properties. For example, the property "currently a software engineer" could be codified by the feature ID 123 or the property "worked at Microsoft" by the feature ID 456, and both can be used to search for people that are currently software engineers or that worked at Microsoft.
Features are categorized by segments and by types within each segment. Currently, the supported segments are persons and companies. Each segment contains features for searching (people or companies) by different criteria.
Up to 530 feature IDs can be returned.
total counts returned feature rows. Feature-name search syntax is distinct from the numeric ID-expression syntax used by segment preview/query. For companies employee_size, code is required (A through I); search alone is insufficient. expand_search applies to type=job_title. For concat_features=t, a returned row may have null id/mod/name/explanation and feature_concat="123|456" (illustrative IDs), usable as an OR query.
Request
- Base URLhttps://api.mixrank.com/v2/json/YOUR_API_KEY
- Authnone declared
Path parameters
Segment of feature IDs to retrieve. Supported values: <code>persons</code> and <code>companies</code>.
Query parameters
Maximum number of feature rows returned.
Term used for looking up feature IDs. Case insensitive and cannot be longer than 8000 characters.
MixRank company ID; supported for type=company.
Parameter used for looking up feature IDs by a specific domain of a company or school. It only works for features of type <code>company</code> or <code>linkedin_school</code>.
LinkedIn company ID; supported for type=company.
Parameter used for looking up feature IDs by a specific LinkedIn URL of a company or school. It only works for features of type <code>company</code> or <code>linkedin_school</code>.
This parameter is used to expand job title feature search to include fuzzier matches. It only works for features of type <code>job_title</code>.
This parameter concatenates expand_search job title feature results in a single string separated by vertical bars (<code>|</code>), ready to be used as a final query. The <code>feature_concat</code> response field is populated with the result.
This parameter is used to filter the job_title_tag type. It only works for features of type <code>job_title_tag</code>. <ul> <li><code>job_seniority</code></li> <li><code>job_function</code></li> <li><code>job_employment_type</code></li> <li><code>job_academic_qualification</code></li> </ul>
Comma-separated modifiers. <p> Features support modifiers and they allow for finer filters. For example, searching for people who previously worked at a company, the <code>past</code> modifier is used. Also this parameter is used for search language proficiency levels as <code>Native or bilingual proficiency</code>.
</p> <p> If this parameter is not passed, all features matching the <code>search</code> term are returned. The modifiers supported by each feature type within each segment are: </p> <b>Persons</b> <ul> <li><code>company</code>: <code>past</code>, <code>present</code>, <code>ever</code>.</li> <li><code>job_title</code>: <code>past</code>, <code>present</code>, <code>ever</code>.</li> <li><code>industry</code>: <code>past</code>, <code>present</code>, <code>ever</code>.</li> <li><code>country</code>: <code>past</code>, <code>present</code>, <code>ever</code>.</li> <li><code>company_type</code>: <code>past</code>, <code>present</code>, <code>ever</code>.</li> <li><code>language_prof</code>: <code>NP: No proficiency</code>, <code>EP: Elementary proficiency</code>, <code>LWP: Limited working proficiency</code>, <code>PWP: Professional working proficiency</code>, <code>FPP: Full professional proficiency</code>, <code>NBP: Native or bilingual proficiency</code>. <li><code>job_title_tag</code>: <code>past</code>, <code>present</code>, <code>ever</code>.</li> <li><code>linkedin_school</code>: Only <code>ever</code> linkedin_school features are returned.</li> </li> </ul> <b>Companies</b> <ul> <li><code>industry</code>: <code>past</code>, <code>present</code>, <code>ever</code>.</li> <li><code>company_type</code>: <code>past</code>, <code>present</code>, <code>ever</code>.</li> <li><code>country</code>: <code>past</code>, <code>present</code>, <code>ever</code>.</li> <li><code>employee_size</code>: <code>past</code>, <code>present</code>, <code>ever</code>.</li> </ul>Response
Successful response.
Example response
{
"total": 1,
"results": [
{
"id": 3096224825841206,
"mod": "present",
"name": "Microsoft",
"explanation": "Currently works at \"Microsoft\"."
}
]
}Changes
No recorded changes to this operation across all 1 revision of this API.