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Ai Extract Salary From Job Ads

Pull a structured salary range and currency out of free-text job ads, with null when no salary is stated, so you can filter and sort listings by pay. Uses built-in example ads; point it at your job-board scraper output.

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Run ChatGPT, Claude & Gemini in Bulk on CSV or Google Sheets
Run ChatGPT, Claude & Gemini in Bulk on CSV or Google Sheetsnerolabs/dataset-ai-enrich
Id
Product
Review
Sentiment
+4 fields
Text
Number
Boolean
List
Object

Input

Data (inline)
title:Senior React Developer+3
description:Remote, UK based. £70,000 to £85,000 per year plus equity. 4 day week trial.+3
Instruction (applied to every row)(required):Extract the salary from this job ad. Return the minimum and maximum yearly salary as numbers in the currency stated (convert an hourly rate to yearly assuming 40 hours a week and 52 weeks), plus the ISO currency code. If no salary is stated, return null for all three. Title: {{title}} Description: {{description}}
Output columns
name:salaryMin+2
type:number+2
description:minimum yearly salary, or null+2
Model:anthropic/claude-haiku-4.5
Rows per model request:4

Output fields

Id
Product
Review
Sentiment
Topic
Aspects
Model
Error

How it works

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Start the "Ai Extract Salary From Job Ads" task

The Run ChatGPT, Claude & Gemini in Bulk on CSV or Google Sheets Actor will start running based on the input automatically. You can also change all the input fields, like data (inline), instruction (applied to every row), and more, to match your specific use case.

Receive the "Ai Extract Salary From Job Ads" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as id, product, review, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Ai Extract Salary From Job Ads" task via API.

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