AU Job Description Parser - Skills, Seniority & Tooling
Under maintenancePricing
from $20.00 / 1,000 results
AU Job Description Parser - Skills, Seniority & Tooling
Under maintenanceTurn 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
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data_lattice
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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 agency | Bulk-parse a week of JDs into a structured spreadsheet for desk reporting |
| Salary benchmarker | Tag every JD in your panel with skills + seniority before joining to salary data |
| Career-tech / EdTech | Automatically classify the listings on your jobs page so users can filter by skill |
| Talent intelligence team | Feed structured JD parses into your competitive-hiring dashboard |
| Researcher | Build 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.
