Ayush Lahoti
Back to Automations
Data ScrapingApify

AI Influencer Scraper

Automated pipeline using Apify to discover niche influencers based on granular audience demographics.

Impact Summary

Manual Discovery

Finding niche influencers requires hours of manual search across platforms, with no systematic way to filter by audience demographics.

An Apify-powered scraping pipeline that discovers and profiles influencers based on granular audience data—location, interests, engagement rates.

10k+

Profiles mapped

Fully automated

Discovery

How the workflow runs end to end

From raw data to booked meetings in 4 autonomous steps

1

Platform Scraping

Crawls Instagram, YouTube, and TikTok for influencer profiles.

2

Audience Analysis

Extracts follower demographics, engagement rates, and content themes.

3

Filtering & Scoring

Applies niche-specific filters and ranks profiles.

4

Export

Delivers a cleaned dataset to Airtable or Google Sheets.

Before vs After

MANUAL

The Old Way

  • Manual platform searching
  • No audience data
  • Hours of discovery work
  • Incomplete influencer lists
AUTOMATED

The Automated Way

  • 10k+ profiles mapped
  • Granular audience data
  • Automated discovery pipeline
  • Clean, exportable datasets

Under the
hood

Built with modern, scalable low-code tools and enterprise-grade APIs to ensure reliability and speed.

ApifyPythonAirtableGoogle Sheets API
Data Sources
n8n CoreEnrichment Loop
CRM / Outreach