Apify Lead Enrichment n8n Workflow: Unhappy Review Scraping

Turn unhappy reviews into enriched leads—automatically

This Apify Lead Enrichment n8n Workflow: Unhappy Review Scraping runs on a schedule to scrape low-rated reviews from competitor sites, identify unhappy reviewers (rating 2 or below), and enrich them with verified email contacts—so you can build a cleaner, more actionable pipeline.

What this workflow does

• Runs weekly to continuously source new signals from the market.
• Uses an HTTP Request to trigger an Apify actor that collects the most recent reviews for a configurable list of competitor company URLs.
• Polls Apify every 15 seconds until the actor run succeeds (or the maximum number of polls is reached).
• Downloads the scraped review dataset from Apify once the run is successful.
• Filters for unhappy reviewers: rating 2 or below, requiring a first and last name.
• Maps country codes to country names and prepares an input payload for contact discovery.
• Runs a second Apify actor to find verified email contacts for each reviewer, then downloads the resulting dataset.
• Filters incomplete records and outputs structured lead data, including: name, verified email, LinkedIn URL, location, and organization details.

Use cases

• Find and target prospects who are actively dissatisfied with competitor solutions.
• Feed a sales development (SDR) or growth team with enriched leads based on recent review intent.
• Continuously expand a B2B contact list using n8n automation plus Apify-driven enrichment.

Technical details

• Nodes used: if, set, code, wait, sticky note, http request.
• Apify integration: start actor runs, poll status every 15 seconds, and fetch datasets.
• Setup: add your Apify API token via HTTP authentication (and replace any hard-coded token query parameters with your own).
• Configuration: update companyUrls and set maxReviewsPerCompany to control review volume.