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Top 3 Sales Tools in Resume Parsing

The best Sales Tools within the Resume Parsing category - based on our collection of reviews & verified products.

DaXtra Parser LIX it Textkernel

Product categories

ATS And Recruiting Contact Intelligence Databases HRMS Lead Generation LinkedIn Tools Marketing Automation Resume Parsing Sales Automation Sales Intelligence Sales Tools Web Scraping

Summary

The top products on this list are DaXtra Parser, LIX it, and Textkernel. All products here are categorized as: Tools designed to assist in sales processes, customer management, and sales analytics. Resume Parsing. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. DaXtra Parser Landing Page
    DaXtra Parser Landing Page
    1

    DaXtra Parser

    DaXtra offers industry leading resume parsing and CV parsing software used by leading recruitment companies and vendors across the globe.

    #Resume Parsing #Sales Tools #HRMS

  2. LIX it Landing Page
    LIX it Landing Page
    2

    LIX it

    You spend 1/3 of your time prospecting and gathering data. Let's change that. Find, export and enrich B2B leads, verified emails and LinkedIn data in an instant, with Lix’s Contact Intelligence suite. Try it today & get 50 free B2B leads a month.
    Pricing:
    • Freemium
    • Free Trial
    • $50.0 / Monthly (Includes 3 users)

    #LinkedIn Tools #Web Scraping #Databases 1 user reviews

  3. Textkernel Landing Page
    Textkernel Landing Page
    3

    Textkernel

    Semantic search for recruiters featuring talent discovery

    #Resume Parsing #HRMS #Sales Tools

Related categories

👔 HRMS 👥 ATS And Recruiting 📂 LinkedIn Tools 🌐 Web Scraping 💾 Databases
If you want to make changes on any of the products, you can go to its page and click on the "Suggest Changes" link. Alternatively, if you are working on one of these products, it's best to verify it and make the changes directly through the management page. Thanks!
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