Cattle/Dairy & Equestrian Email Mining
Budget: $30 – $250 USD
Web researcher w/ scraper — find emails for cattle/dairy farms and horse stables
I sell equestrian and cattle products. I need someone who can scrape relevant websites and directories and deliver a cleaned list of contact emails for cattle/dairy farms and horse stables in USA only.
Tasks
1) Scrape websites, directories, and listings for farms and stables. I do NOT have a website in mind. I expect you to crawl what's relevant (see chatgpt for advice).
2) Extract: Name, Email, Phone, Address, City, State, ZIP, Website, Source URL.
3) Deduplicate records.
4) Remove spam-trap emails and generic distribution addresses (e.g., webmaster@, admin@, postmaster@, no-reply@, info@ when generic).
5) Use open source tools Rapid Email Verifier and TrueMail to remove invalid emails: https://github.com/umuterturk/email-verifier
https://truemail-rb.org
6) we may ask you to use to use BounceShield to validate email addresses after Rapid Email Verifier and TrueMail to remove even more fake emails
DELIVERABLE:
• One CSV file containing the following columns in this order: Name, Type (Dairy Farm or Horse), Email, Company Website, Source URL, Notes (optional)
NOTE: Email is a required field. I don't want any rows that don't have an email address.
HOW TO WIN THIS BID:
1) Too many people reply without reading freelance messages. For me to ensure you actually read this, put the word "monkey" in your response (anywhere)
2) Give me a clear plan on how you want to do this (eg. use puppeteer to scrape, etc).
3) The last time I did this, I found 10,000 email address. I am hopeful you can beat this number.
I sell equestrian and cattle products. I need someone who can scrape relevant websites and directories and deliver a cleaned list of contact emails for cattle/dairy farms and horse stables in USA only.
Tasks
1) Scrape websites, directories, and listings for farms and stables. I do NOT have a website in mind. I expect you to crawl what's relevant (see chatgpt for advice).
2) Extract: Name, Email, Phone, Address, City, State, ZIP, Website, Source URL.
3) Deduplicate records.
4) Remove spam-trap emails and generic distribution addresses (e.g., webmaster@, admin@, postmaster@, no-reply@, info@ when generic).
5) Use open source tools Rapid Email Verifier and TrueMail to remove invalid emails: https://github.com/umuterturk/email-verifier
https://truemail-rb.org
6) we may ask you to use to use BounceShield to validate email addresses after Rapid Email Verifier and TrueMail to remove even more fake emails
DELIVERABLE:
• One CSV file containing the following columns in this order: Name, Type (Dairy Farm or Horse), Email, Company Website, Source URL, Notes (optional)
NOTE: Email is a required field. I don't want any rows that don't have an email address.
HOW TO WIN THIS BID:
1) Too many people reply without reading freelance messages. For me to ensure you actually read this, put the word "monkey" in your response (anywhere)
2) Give me a clear plan on how you want to do this (eg. use puppeteer to scrape, etc).
3) The last time I did this, I found 10,000 email address. I am hopeful you can beat this number.