.png){kind=logo}
How to Find Emails of Local Restaurants and Construction Companies
Hey team, I want to know if there's a way to find the emails of restaurants and construction companies in a specific area
Hey team, I want to know if there's a way to find the emails of restaurants and construction companies in a specific area
To find emails of restaurants and construction companies in a specific area, you can use our integration with Hunter and combine it with a local business search. Here's how: 1. Use our "Find local businesses using Google Maps" workflow to identify restaurants and construction companies in your target area. 2. Once you have the company domains, use our "Find Emails by Company with Hunter" integration to discover associated email addresses. 3. You can filter results by department if needed, which is helpful for targeting specific roles within these companies. This approach allows you to efficiently find relevant email addresses for your targeted outreach. If you need more detailed guidance, please let me know.
Would it be expensive to find 2k emails daily using this process?
Finding 2,000 emails daily using our process would be relatively expensive. Each email finding attempt costs 2 credits, regardless of whether an email is found. For 2,000 emails, you'd need 4,000 credits daily. This could quickly deplete your plan's credits. If you need extra credits, we offer "credit top-ups" at a 50% premium over your plan's regular credit cost. To manage costs, consider spreading out your email finding over time or focusing on the most promising leads first.
Is there a way to do this without using so many credits?
Yes, there are ways to optimize your email finding process to use fewer credits. Here are some strategies: 1. Use conditional runs: Only search for emails when necessary. For example, run email searches only for contacts without existing email addresses. 2. Prioritize your searches: Focus on the most promising leads first, spreading out your email finding over time. 3. Utilize AI formulas: Create custom formulas to run email searches only when specific conditions are met, reducing unnecessary credit usage. 4. Consider alternative plans: If you consistently need 2,000 emails daily, it might be more cost-effective to upgrade your plan rather than relying on credit top-ups, which cost 50% more than your plan's regular credit cost. By implementing these strategies, you can significantly reduce credit usage while still finding the emails you need.
Use seeper.dev to find business then enrich rich data and then find emails.
We can use Serper.dev (not seeper.dev) to find businesses, then enrich the data and find emails using our integrations. Here's a simplified process: 1. Use Serper.dev to connect to Google Search API and scrape business listings from Google Maps. 2. Import this data into Clay to enrich it with additional information. 3. Use our email finding integrations like Hunter, Clearbit, or People Data Labs to find work emails for these businesses. This approach can help you build a targeted account list efficiently. Keep in mind that email finding attempts use credits, and credit top-ups cost 50% more than your plan's regular credit cost. Need more details on setting this up?
You can use Yelp and Yelp Scraper; Scraper also gives you website and contact info. If you want to scrape from Google, use Instant Data Scraper, find the leads, put them in clay, and enrich them as you wish. if you need any help more let me know.
Thanks