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URL: https://apify.com/data_lattice_au/jd-keyword-extractor

⇱ AU Job Description Parser - Skills, Seniority & Tooling [DEPRECATED] · Apify

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AU Job Description Parser - Skills, Seniority & Tooling

Deprecated

Pricing

from $20.00 / 1,000 results

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AU Job Description Parser - Skills, Seniority & Tooling

Deprecated

Turn raw job descriptions into structured market intelligence. Batch-parses data, analytics, BI, ML and AI JDs and returns skill tags, seniority, years required and tooling - ready to feed into dashboards, talent maps or pricing models. Cents per JD; thousands per run.

Pricing

from $20.00 / 1,000 results

Rating

0.0

(0)

Developer

👁 data_lattice

data_lattice

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2 months ago

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Data Jobs - JD Keyword Extractor (AU)

Turn raw job descriptions into structured market intelligence. Batch-parses data, analytics, BI, ML and AI JDs and returns skill tags, seniority, years required and tooling - ready to feed into dashboards, talent maps or pricing models.

What this is for

Recruitment agencies, salary benchmarkers, talent dashboards and research teams all need to do the same thing: take a pile of raw JD text and turn it into structured fields. Doing this in-house with regex spaghetti is a maintenance nightmare; doing it with an LLM is slow and expensive.

This Actor uses the same 136-skill data-sphere taxonomy that powers the rest of the Data Lattice portfolio, plus a small inference layer for seniority and years-required, to parse JDs in under 100ms each. Submit 1 JD or 10,000 - same per-item price.

How this helps you

You are a...You use this to...
Recruitment agencyBulk-parse a week of JDs into a structured spreadsheet for desk reporting
Salary benchmarkerTag every JD in your panel with skills + seniority before joining to salary data
Career-tech / EdTechAutomatically classify the listings on your jobs page so users can filter by skill
Talent intelligence teamFeed structured JD parses into your competitive-hiring dashboard
ResearcherBuild a structured corpus from raw JDs for academic / industry analysis

Output (one row per JD)

{
 "jd_index": 0,
 "skills": ["Python","SQL","Snowflake","dbt","Airflow"],
 "tooling": ["Snowflake","dbt","Airflow"],
 "seniority": "Senior",
 "years_required": 5,
 "skill_count": 5
}

Full schema in OUTPUT_SCHEMA.json.

Pricing

$0.02 per JD parsed (PRICE_PER_DATASET_ITEM). One large recruitment batch (1,000 JDs) = $20 of usage. Volume-friendly - designed for agencies parsing in bursts.

Run it

{
"jds":[
"Senior Data Engineer needed (Python, Spark, AWS, Snowflake, dbt). 5+ years.",
"Junior Analyst - Power BI, SQL, basic Python. Graduate-level OK.",
"..."
]
}

Returns one structured row per input JD, in input order.

Brand

Part of the Data Lattice portfolio. Uses the same skill taxonomy as the Skill Intelligence and Co-Occurrence API Actors so outputs are directly comparable across the suite.

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