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    Job Postings Dataset

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    Sold by: Bright Data 
    Deployed on AWS
    Jobs data

    Overview

    Note: This is a FREE SAMPLE dataset that includes 1,000 rows. For expanded datasets, additional records, or continuous data refreshes, please contact us.

    Structured job posting data feed from all countries globally including 1-1.5M records from the USA and 10M from around the world.

    The dataset is sourced from various websites such as Indeed, Ziprecruiter, LinkedIn, Monster, and Dice.

    The data covers 10 key attributes such as - date of job posting, job title, company name, website, salary range, remote or on-the-job, area, city, state & zip code.

    It can be used for analytics and sales outreach, and offers insights into a company's hiring trends and strategic moves. The data has a historical coverage of 3 months, and can help capture business opportunities, track company traction, and gain competitive insights. This is a monthly updated data feed of job postings that take place across the US and covers 50 major US states.

    Popular attributes:

    • Date of Job Posting: The date when the job was posted.
    • Job Title: The title or position of the job being advertised.
    • Company Name: The name of the company that posted the job.
    • Website: The website of the company, presumably where the job posting is found. -Salary Range: The range of salaries associated with the job. -Job Description by request.

      Link to Documentation https://drive.google.com/file/d/1aHrExyg_uSAkIl31PaMfz2gO_kfGZvqB/view?usp=drive_link 

    Highlights

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    Pricing

    Job Postings Dataset

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    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    AI Insights

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    Dimensions summary

    This listing offers a single pricing dimension: Product Access (Units), which grants subscribers access to the Job Postings Dataset at no cost. There are no tiers, instance sizes, or usage add-ons to compare. You gain access to structured job posting records containing fields such as job title, company name, location, and job summary. The dataset is cleaned, validated, and delivered in standard formats. Because this dimension is free, pricing does not scale with record volume or usage. You simply subscribe to obtain access to the dataset through AWS Marketplace.

    Top-of-mind questions for buyers

    One record equals one job posting. It appears as a single row in your delivered file, or one JSON object. Each record holds all collected fields for that posting, such as job title, company name, job location, seniority level, and job summary. You can inspect the exact fields by viewing a sample before subscribing.
    You can receive data in JSON, NDJSON, CSV, XLSX, or Parquet formats. Delivery options include Amazon S3, Webhook, Email, SFTP, and API-based on-demand requests, plus other storage destinations. You can also choose which fields to include and hide columns you do not need before delivery.
    No. This Marketplace dimension grants product access at no cost, so charges do not accrue based on record volume or usage. There is no per-record or per-refresh fee tied to this dimension. You subscribe once through AWS Marketplace to obtain access to the dataset.
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    Note:This is a template - for the full dataset please contact the provider. Payment by usage.

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    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    AWS Data Exchange (ADX)

    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

    Additional details

    Data sets (1)

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    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    Job Postings Dataset
    All historical revisions
    All future revisions
    Not included
    Not included

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