PeopleDataLabs provides B2B data enrichment and identity resolution, empowering organizations to build enriched user profiles and validate customer information
Provides autocompletion suggestions for a specific field (e.g., company, skill, title) based on partial text input.
Cleans and standardizes company information based on a name, website, or profile URL; providing at least one of these inputs is highly recommended for meaningful results.
Cleans and standardizes a raw, unformatted location string into a structured representation, provided the input is a recognizable geographical place.
Cleans and standardizes school information; provide at least one of the school's name, website, or profile for optimal results.
Performs a search for person profiles within People Data Labs using a custom Elasticsearch Domain Specific Language (DSL) query. This action allows for detailed and complex filtering based on various attributes of a person's profile, such as job title, skills, location, experience, and more. Results can be paginated using the `size` and `scroll_token` parameters. Preconditions: - The `query` parameter must contain a valid Elasticsearch DSL query string, structured as a JSON object. - If the `dataset` parameter is specified, it must be one of the allowed values: 'resume', 'email', 'phone', 'mobile_phone', 'street_address', 'consumer_social', 'developer', 'all'. - Note: This action queries the People Data Labs person search endpoint (`/v5/person/search`) and returns person records.
Enriches company data from People Data Labs with details like firmographics and employee counts, requiring at least one company identifier.