creating Linkedin application database using Lusha and Wiza free app to extract data
$30-250 USD
Betalades vid leverans
To create free accounts and create a unified list of Lusha website contacts based on criteria that i will provide
50 contacts to be given in an excel document with fields: first and last name, email address, country, company name, link to company website. Criteria are:
Lusha contact list criteria
Number of contacts in brackets
Geographic
- Indonesia (15)
- Vietnam (5)
- United Arab Emirates (10)
- South Africa (10)
- Nigeria (10)
- Kenya (10)
- Malaysia (5)
- South Africa (10)
- India (5)
- Uganda (10)
- Thailand (10)
TOTAL = 100
Position
- CEO
- Founder
Industry
- Financial services:
o Crypto exchange, blockchain
o Investment companies, brokers
o Payment providers
EXCLUDE TECHNOLOGY AND FINTECH PLATFORM PROVIDERS
Projekt-id: #36029489
About the project
Tilldelades:
Dear hiring manager,, I can start the work right now and delivery the work within 48 hours .I can provide you - CEO- Founder of first and last name, email address, country, company name, link to company ,I can do thi Mer
26 frilansare har lagt bud på i genomsnitt $101 för det här jobbet
Hello sir, I can create Linkedin application database using Lusha and Wiza free app wit your excel data list. ping me for further details. will send sample first. Thank you.
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I would be happy if I deal with you, and I offer you all my capabilities to help you in the shortest possible time, the lowest cost, and the highest quality of work.
The proposal is to create a unified list of Lusha website contacts based on specific criteria provided by the client. The aim is to create 50 contacts for each of the following countries: Indonesia, Vietnam, United Ara Mer
Hello, I'm well qualified to meet your needs because I have eight years of experience producing, managing, and analysing data in Excel, maintaining salary accounts, and creating and analysing student databases.
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Hi, Dear client. I am a web scraping/automation/bot/chrome extension expert with 6 years of experience in NodeJS, Puppeteer and Selenium. I have prior experience in scraping Netflix, Wholesale and Telegram. I am fami Mer