Google Scholar
Academic Papers, Authors, And Citations.
Example Prompt
Scrape Google Scholar papers about lead generation from 2024
Edit the trade, city, or radius — the pipeline stays the same.
What You Get
- Name
- Phone
- Website
- Source URL
Typical Yield
A representative run — raw records narrow down to clean, textable contacts.
DNC + litigator scrub on every run
Credits only charged on clean leads
How This Template Runs
- Step 1
Pull The Source
We collect every matching record from the source with location and keyword filters applied.
- Step 2
Dedupe
Duplicate businesses, franchises, and repeat phone numbers collapse into one clean record.
- Step 3
Skip Trace
Missing mobile numbers are appended so you have a textable contact, not just a listing.
- Step 4
Scrub
DNC, litigator, and landline filtering runs before a single message goes out.
- Step 5
Campaign
Approved leads drop into a warmed SMS campaign with quiet-hour and drip controls.