Is there any problem if I send more than 1000 mails from single laptop using different email ID's?

Question

I am planning to send emails to different clients of different businesses using their respective mail IDs using python script and Gmail API. I am a little afraid that Google treats me as a span. Because I am sending emails to different clients using different mail IDs, but the IP address remains the same. I also make sure that there is some gap between the time of each two consecutive emails.

Do I need to worry about it? Or Do I need to manually send Emails?

Answer 1

There shouldn't be an issue if you keep the sending limits for Gmail, and the quota limits for the Gmail API.

Take in consideration that the limits for a Gmail.com account will be different to Google Workspace limits.

• The limits for a free account are specified here

You may see this message if you send an email to a total of more than 500 recipients in a single email and or more than 500 emails sent in a day.

When you get this error, you should be able to send emails again within 1 to 24 hours.

• The limits for a Google Workspace paid account are specified here

Maximum messages per day Daily sending limit per user account is 2,000
1,500 for multi-send, and 500 for trial accounts.

You can use the following Google Documentation guide here to prevent your emails to be mark as spam. In it, you will find some recommendations, and best practice to avoid been mark as a spammer.

Another reason you might be marked as spammer is base on user Feedback, you can read information about it in this documentation, and here.

Simply put, to protect users at scale, we rely on machine learning powered by user feedback to catch spam and help us identify patterns in large data sets—making it easier to adapt quickly to ever-changing spam tactics. Gmail employs a number of AI-driven filters that determine what gets marked as spam. These filters look at a variety of signals, including characteristics of the IP address, domains/subdomains, whether bulk senders are authenticated, and user input. User feedback, such as when a user marks a certain email as spam or signals they want a sender’s emails in their inbox, is key to this filtering process, and our filters learn from user actions.