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Scrape job postings into JSON: title, company, salary, location

Read job ads from any careers page or job board and get one JSON record per posting: title, company, location, remote, employment type, salary range and currency, date posted, apply link, skills and a short summary. The example uses Real Python's fake job board, made for scraping practice.

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AI Web Scraper – JSON Schema Data Extractor
AI Web Scraper – JSON Schema Data Extractorbrisaworks/schema-json-extractor
URL
Status
Valid
Data
+5 fields
Text
Number
Boolean
List
Object

Input

Start URLs(required)
url:https://realpython.github.io/fake-jobs/jobs/senior-python-developer-0.html+1
Preset schema:job

Output fields

URL
Status
Valid
Data
Preset
Validation errors
Truncated
Model
Error

How it works

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The AI Web Scraper – JSON Schema Data Extractor Actor is ready to run with the inputs already set for "Scrape job postings into JSON: title, company, salary, location". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape job postings into JSON: title, company, salary, location" task

The AI Web Scraper – JSON Schema Data Extractor Actor will start running based on the input automatically. You can also change all the input fields, like start urls and preset schema, to match your specific use case.

Receive the "Scrape job postings into JSON: title, company, salary, location" 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 URL, status, valid, 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 "Scrape job postings into JSON: title, company, salary, location" task via API.

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