Sales Prospecting with ProfileSpider
Use ProfileSpider to turn public websites, directories, team pages, and search results into structured prospect lists you can review, enrich, and export.
Audience
Who This Is For
This page is for founders, sales reps, SDRs, BDRs, consultants, agencies, and solo operators who build prospect lists from public web sources.
Use it when your best prospects are not already sitting in one database, but spread across directories, company websites, LinkedIn search results, Google results, marketplaces, conference pages, association lists, or niche communities.
The problem
Why Sales Prospecting Needs Better Source Capture
Sales prospecting often starts with a useful web page: a directory, a company team page, a list of conference sponsors, a marketplace, or a Google search result. The problem is that the useful data is trapped in the browser.
Manually copying names, companies, titles, websites, LinkedIn URLs, and notes into a spreadsheet is slow. Generic scrapers can export raw rows, but they usually do not give you a lead-list workflow with saved lists, tags, notes, enrichment, email finding, and reusable exports.
ProfileSpider is built for the point where a source page becomes a prospect list. You open the page, extract the visible leads, save them, review them, enrich where useful, and export the final list.
Before ProfileSpider
What This Looks Like Manually
A manual prospecting workflow usually looks like this:
Find a source page with relevant companies, people, profiles, or contact links.
Copy names, titles, companies, websites, and profile URLs into a spreadsheet.
Open extra tabs to check missing details.
Look up email addresses one by one in a separate tool.
Clean rows, remove obvious duplicates, and add notes.
Export or import the spreadsheet into a CRM, outreach tool, or research workflow.
For a small list, this is annoying. For a serious prospecting workflow, it becomes hours of repetitive copying, checking, and formatting.
Sources
Where Sales Teams Can Find Prospects
Output
Example Sales Prospecting Export
A clean prospect list should include the fields needed for review, prioritization, enrichment, and outreach.
| Name | Title | Company | Website | Tags | Notes | Source | ||
|---|---|---|---|---|---|---|---|---|
| Sofia Martin | Head of People | Northstar Talent | northstartalent.com | linkedin.com/in/sofiamartin | sofia@northstartalent.com | hr-tech, reviewed | Potential buyer for recruiting workflow | example-directory.com/hr-tech |
| Daniel Weber | VP Sales | Weber Growth | webergrowth.io | linkedin.com/in/danielweber | b2b-consulting, needs-email | Find email before outreach | example-marketplace.com/b2b-consultants | |
| Nina Verhoeven | Founder | ExampleTech | exampletech.com | linkedin.com/in/ninaverhoeven | nina@exampletech.com | founder, saas | Good fit for founder-led sales campaign | conference-site.com/sponsors |
Workflows
Best ProfileSpider Workflows for Sales Prospecting
Use these workflows to move from source discovery to clean prospect exports.
Directory to CSV
Extract prospects from niche directories, member lists, vendor pages, and marketplaces.
Company Team Page
Extract people, roles, LinkedIn URLs, and source URLs from public team pages.
Google X-Ray Search to Lead List
Turn public search results and profile URLs into a saved lead list.
Find Emails from LinkedIn Profiles
Use saved profile URLs as part of an email-finding workflow where available.
Export Leads to Excel
Review, clean, and export your prospect list to Excel, CSV, or JSON.
Questions