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.
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.
Use this page as a starting point for the full workflow: collect the source, clean the table, analyze the patterns, and keep the exportable file together.
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AI scraping workbench
Collect, clean, and deliver without rebuilding the workflow.
DataLens keeps the messy browser step, the structured table, and the exportable files together so analysts, operators, and growth teams can move from live pages to decisions faster.
Collect
Capture live page evidence
Open the source in Chrome and let DataLens detect repeated rows, links, images, comments, or listings on the page you are already viewing.
Clean
Shape messy fields into a table
Use the AI scraping workbench to normalize labels, preserve source context, and keep raw rows beside the cleaned dataset for review.
Deliver
Export files people can use
Send CSV, Excel, JSON, or a research report to the team without stitching together screenshots, scripts, and disconnected spreadsheets.
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.
Real-world use cases
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
Open the directory, search result, or company-list page you want to turn into lead data.
- 2
Use DataLens to detect the repeated lead rows and the fields that should become columns.
- 3
Review the extracted list and export the lead dataset to Excel, CSV, or JSON.
Frequently asked questions
Use these questions to decide how a live website becomes an AI scraping 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.
Related workbench workflows
Compare adjacent collection paths by source, export format, and team job.
Website to Excel
Convert any website to Excel without writing selectors
Export website tables, listings, comments, and paginated results into clean Excel files without manual selectors.
Website to CSV
Export website data to CSV with a no-code AI web scraper
Capture website data into CSV for lead generation, ecommerce research, and repeatable browser-based exports.
LinkedIn Scraper
Extract LinkedIn profiles and company listings into structured lead data
Turn profile rows, company lists, and search-result pages into lead data in Excel, CSV, or JSON.