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Ai Label Leads Industry And Fit Score
Score a scraped lead list: industry, company size bucket and a 1 to 10 fit score against your ideal customer, written as new columns so you can sort and filter the list. Uses built-in example companies; point it at your Google Maps or LinkedIn scraper output.
Dataset AI Enrich (LLM Classify, Extract, Summarise Rows)nerolabs/dataset-ai-enrich
Id
Product
Review
Sentiment
+4 fieldsTextNumberBooleanListObject
Input
Data (inline)
name:Brightline Electrical Ltd+3
website:brightline-electrical.co.uk+3
snippet:Domestic and commercial electricians covering Kent and Medway. NICEIC approved, 12 staff.+3
Instruction (applied to every row)(required):Our ideal customer is a UK local service business with 5 to 50 staff that takes bookings from the public (trades, clinics, salons, cleaners). For this company, give the industry, a size bucket, and a fit score from 1 (poor fit) to 10 (ideal), with a one-sentence reason.
Company: {{name}}
Website: {{website}}
About: {{snippet}}
Output columns
name:industry+3
type:string+3
description:two or three words+3
Model:anthropic/claude-haiku-4.5
Export file formats:xlsx
Output fields
Id
Product
Review
Sentiment
Topic
Aspects
Model
Error
Sign up on Apify01
Create your Apify account to access the Dataset AI Enrich (LLM Classify, Extract, Summarise Rows).
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
