Find a company by domain, then search and enrich its employees
The LinkedIn Domain Employees Enrich flow finds a LinkedIn company page from a domain or company name, then searches for employees and optionally enriches them with profile and contact information. This flow is ideal for finding and enriching employee lists from company domains.Documentation Index
Fetch the complete documentation index at: https://flows-docs.edges.run/llms.txt
Use this file to discover all available pages before exploring further.
Optional enrichment steps (can include any combination)
linkedin-extract-people: Extracts detailed LinkedIn profile information (sections, experiences, skills, highlights)linkedin-extract-company: Extracts company information for each profile’s current companyfullenrich-enrich-people: Enriches profiles with contact information (emails and/or phone numbers). Credit costs: 2 credits for emails, 20 credits for phones, 22 credits for both.Custom Data
inputs array can include an optional custom_data object. The only valid key inside custom_data is meta. Use meta to attach a free-form object (e.g. your own IDs, tags, or context) that will be passed through and available in the flow output.Example:meta as a workaround to ship this capability; a more solid implementation will follow soon without breaking changes.Basic employee search from domain
Full enrichment with filters
With webhook callback
1 - 1000 elementsOptional list of step to run. If not provided, only the required steps will be run.
linkedin-extract-people, linkedin-extract-company, fullenrich-enrich-people An array of Identity UUIDs linked to identities (e.g. LinkedIn) used to execute the Action. You must provide at least one valid UID with access to the integration. Do not use account_uid values — only user_uid is supported.
["44444444-4444-4444-4444-444444444444"]If "auto", the Action will use any identities from the current workspace (unless you have provided a list of identity_ids). "managed" will use the Edges pool of identities for an extra credit cost
direct, auto, managed