LinkedIn (Sales Navigatori?)

Marco Govoni
Marco Govoni Member Posts: 163
Third Anniversary 100 Comments 5 Up Votes 5 Likes
edited July 2022 in Ideas and Product Feedback #1

At the moment "smart data search" is scraping for LinkedIn profile (and gmail data), right?

It might be a great option to create a deep integration with LinkedIn Sales Navigator: for example to import lead information from LK to PD, update PD with information on the lead selected on LK, sync lead activity from LK -> PD (ex: when a Lead make a new post on LK, receive a notification on PD contact...)


My2cents :-)

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  • Marcelo Silva
    Marcelo Silva Member Posts: 260
    Third Anniversary 100 Comments Photogenic Community Driver
    edited April 2022 #2

    experimente a integração 

    Perfect LinkedIn and Xing integration with your CRM
  • Inês Batata
    Inês Batata Posts: 2,209
    2500 Comments Third Anniversary 25 Likes First Answer
    edited April 2022 #3

    Hi @Marco Govoni ! Check out this thread from other users in our Community who had the same question. 🚀

  • Joe Suarez
    Joe Suarez Member Posts: 3
    Photogenic First Comment
    edited April 21 #4

    In theory, it is possible to create integrations between different platforms such as LinkedIn Sales Navigator, and a CRM (such as PD or any other CRM). By leveraging APIs (Application Programming Interfaces) provided by these platforms, it may be feasible to import lead information from LinkedIn Sales Navigator to a CRM, update CRM data with information from LinkedIn Sales Navigator, and sync lead activity between the two platforms.

    For example, using LinkedIn Sales Navigator's API, you could retrieve lead information such as profile data, activity, and engagement metrics. Then, using the CRM's API, you could update the corresponding contact or lead records with this information. You could also set up notifications or triggers in the CRM to receive alerts when a lead makes a new post on the LinkedIn Sales Navigator extension.

    Please note that creating such integrations may require technical expertise and proper authorization from both platforms involved, as well as compliance with their respective terms of service and privacy policies. It's important to ensure that any data exchange or automation adheres to applicable laws and regulations, and respects the privacy and consent of individuals whose data is being processed.