The Google Search enrichment lets you run a search query for each row in your spreadsheet and return up to 5 Google results.
Use it when you need to turn structured data into URLs at scale. Search queries can include variables from your collection, which makes it useful for finding official websites, profiles, review pages, knowledge-base links, or other public references without writing scripts.
Why this is better than manual Google searching
Manual search breaks as soon as you have 500 rows.
This enrichment gives you row-level Google automation with controls for:
- Query templates with variables
- Country targeting
- Language targeting
- 1 to 5 results per row
- Domain exclusions
- Keyword exclusions
That makes it useful for both list building and list cleaning.
Step-by-step guide
Step 1: Import your file
Upload your CSV or Excel file to Datablist.
Step 2: Select "Google Search"
Open Enrich and choose the enrichment.
Step 3: Build the query template and run
Write your search query with row variables such as company name, domain, or person name.
Examples:
{{Company Name}} official websitesite:linkedin.com/in {{Full Name}} {{Company}}{{Company}} pricing
Then create output columns for the result link, title, and snippet.
You can also filter out domains such as linkedin.com or facebook.com if you want the company website instead of directory pages.
What the enrichment returns
For each result, Datablist can save:
- Result link
- Result title
- Result snippet
The first result is required. You can optionally return up to 5 results per row.
Common use cases
- Find the official website for a company list
- Search for public profile pages at scale
- Turn structured lead data into research links
- Find pricing, careers, docs, or knowledge-base pages
- Build QA checks for broken or missing URLs
Pricing and example
This enrichment costs 2.5 credits per search.
Example:
- 1,000 searches cost 2,500 credits
- 10,000 searches cost 25,000 credits
That is often cheaper than paying an operator to do the same work by hand.