Lead Generation Scraper

Build structured lead lists from websites without manual copy-paste

DataLens gives growth, recruiting, and research teams a browser-first lead generation workflow. Turn repeated company rows, people directories, and search results into structured lead data ready for review and export.

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Capture lead fields from repeated page layouts

Collect names, job titles, company labels, profile links, and other visible lead attributes from directories and result pages.

Reduce manual prospecting work

Replace repetitive copy-paste and spreadsheet cleanup with a single browser workflow that detects repeated lead rows.

Export datasets your team can use immediately

Review the detected fields, then export the final list to Excel, CSV, or JSON for CRM import, enrichment, or research.

How this workflow fits real website data extraction jobs

Build outbound lead lists from directories, public search pages, and company databases.

Collect firmographic and role-level data before enrichment, scoring, or CRM import.

Support recruiting, account mapping, and research workflows with structured browser-based exports.

How it works

  1. 1

    Open the directory, search result, or company-list page you want to turn into lead data.

  2. 2

    Use DataLens to detect the repeated lead rows and the fields that should become columns.

  3. 3

    Review the extracted list and export the lead dataset to Excel, CSV, or JSON.

Frequently asked questions

These are the most common questions teams ask before using DataLens for this workflow.

What can a lead generation scraper extract?

It can capture repeated visible lead fields such as names, titles, company labels, profile links, and directory metadata from browser-visible result pages.

Can I export lead generation data to CSV or Excel?

Yes. DataLens lets you verify the fields first, then export the lead dataset to Excel, CSV, or JSON depending on your downstream workflow.

Why use an AI lead generation scraper instead of manual copy-paste?

Manual collection is slow and inconsistent across long result sets. DataLens turns repeated lead rows into a structured export that is much easier to repeat and clean up.