The LinkedIn Page Followers Enrich flow extracts all followers of a LinkedIn company page, then optionally enriches them with profile and contact information. This flow is ideal for audience analysis and lead generation from company page followers.
Extract Page Followers (required): Extracts all followers of the specified LinkedIn company page
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 company
fullenrich-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.
Some steps have dependencies on other steps. For example, fullenrich-enrich-people requires profile data from previous steps. If you include a step that has dependencies, the required steps will be automatically activated even if you don’t explicitly include them in your request body.
Custom Data
Each item in the 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:
Instead of polling for results, you can use webhooks to receive automatic notifications when this flow completes. Learn more about webhook payloads and handling.
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.
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
Represents an error returned by the API. This schema defines the standard structure of error messages to ensure consistent error handling across the application.
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