Amazon Jobs Scraper

Pull job postings from Amazon's official careers site (amazon.jobs) at scale — titles, locations, categories, teams, employment types, both basic and preferred qualification blocks, posting dates, and direct apply links for every open role worldwide. Built for recruiters, talent-intelligence teams, and labor-market researchers who need structured Amazon hiring data without copy-pasting listings off the careers site one page at a time.

Why This Scraper?

• 20 countries in one filter — target the United States, United Kingdom, Germany, India, Japan, Canada, Brazil, the UAE and 12 more by country, or leave it blank for worldwide coverage in a single run.
• 38 job categories, matched to Amazon's own taxonomy — narrow to Software Development, Applied Science, Machine Learning Science, Data Science, Supply Chain / Transportation Management, Fulfillment Associate, and 32 more exactly as Amazon labels them, so a category filter returns real hits instead of silent zeros.
• Six employment-schedule types — Full-time, Part-time, Part-time (20-29 hours), Reduced-time (30-39 hours), Flex time, and Flex-time (under 19 hours) — the same schedule facets Amazon exposes on its own search.
• Both qualification blocks on every job — separate basicQualifications and preferredQualifications fields, so you can screen must-haves against nice-to-haves without parsing one description blob.
• 22 structured fields per posting — job title, two job IDs, apply and job-page links, city/state/country, category, job family, team, business category, schedule type, qualifications, full description and short summary, posted and updated dates — all flat and spreadsheet-ready.
• Team and business-category taxonomy — every row carries Amazon's internal team and businessCategory labels (e.g. AWS, Alexa, Operations), so you can slice hiring by org, not just by title.
• Sort by relevance or newest first — flip sortBy to recent to monitor brand-new postings on a schedule, or keep relevant for the best keyword matches.
• Ready-made-URL power mode — paste any amazon.jobs search URL you built on the site (filters already applied) and the scraper paginates it to completion, running searches the structured fields don't cover.
• Up to 10,000 results per search — walks Amazon's full result window with automatic pagination and per-job deduplication; narrow with a category, country, or keyword to reach deeper into large result sets.

Use Cases

Talent Intelligence

• Track how many roles Amazon is opening by category, country, and team
• Watch a specific org (AWS, Alexa, Operations) ramp or slow its hiring
• Map the mix of full-time versus flex and reduced-time roles across markets
• Build a live snapshot of Amazon's open headcount for briefings

Recruitment & Sourcing

• Pull apply-ready role lists with direct links for a target city or country
• Benchmark your own job specs against Amazon's basic and preferred qualifications
• Identify high-volume categories worth building candidate pipelines around
• Feed structured postings straight into an ATS or sourcing spreadsheet

Labor-Market Research

• Measure demand for skills like machine learning, data science, or supply chain
• Compare category mix across 20 countries in a single dataset
• Track how quickly new postings appear with sortBy: recent
• Quantify part-time, flex, and reduced-time offerings by region

Relocation & Geographic Analysis

• List every open role in an exact city (Seattle, Berlin, Bengaluru)
• Compare opportunity volume between candidate cities and countries
• Surface roles by country for cross-border hiring and mobility planning
• Map where a job family (e.g. Software Development) is concentrated

Competitive Hiring Intelligence

• Read team growth signals from category and business-category trends
• Track qualification bars Amazon sets for comparable roles
• Monitor which markets Amazon is expanding into by watching new country coverage
• Enrich a competitor-tracking dashboard with fresh Amazon postings

Getting Started

Newest software roles

The simplest start — a keyword and a result cap:

{
    "searchKeyword": "software engineer",
    "maxResults": 100
}

Data-science roles in the US, newest first

{
    "searchKeyword": "data scientist",
    "countries": ["USA"],
    "categories": ["Data Science"],
    "sortBy": "recent",
    "maxResults": 300
}

Full-time roles in an exact city

{
    "location": "Bengaluru",
    "jobTypes": ["Full-Time"],
    "categories": ["Software Development"],
    "maxResults": 200
}

Advanced — paste your own search URLs

{
    "searchUrls": [
        "https://www.amazon.jobs/en/search?base_query=machine+learning&normalized_country_code%5B%5D=USA&sort=recent",
        "https://www.amazon.jobs/en/search?category%5B%5D=Applied+Science&sort=relevant"
    ],
    "maxResults": 500
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
searchKeyword	string	"software engineer"	Word or phrase matched across the job title and description. Leave blank to collect every job matching the filters below.
location	string	"" (any)	Filter to a single city. This is an exact match against Amazon's own city name, so spell it as Amazon does — "Bengaluru" returns results, "Bangalore" returns none.
searchUrls	string[]	[]	Advanced: paste one or more full amazon.jobs search URLs (filters already applied on the site). Each runs as its own search and is paginated to completion, in addition to the keyword search.

Filters

Parameter	Type	Default	Description
categories	array (multi-select)	[] (all)	Keep only jobs in these Amazon job categories. 38 categories available, matched to Amazon's exact labels.
jobTypes	array (multi-select)	[] (all)	Keep only these employment-schedule types: Full-time, Part-time, Part-time (20-29 hours), Reduced-time (30-39 hours), Flex time, Flex-time (under 19 hours).
countries	array (multi-select)	[] (worldwide)	Keep only jobs in these countries. 20 countries available (United States, United Kingdom, Germany, India, Japan, and more).
sortBy	select	Relevance	Order jobs are collected in: Relevance or Most recent.

Limits

Parameter	Type	Default	Description
maxResults	integer	100	Hard cap on the total number of jobs per search. Set to 0 for no cap. Amazon returns at most 10,000 results for any single search; the run keeps the full last page even if it slightly overshoots.

Output

Each job is returned as one flat record:

{
    "title": "Software Development Engineer, AWS Lambda",
    "jobId": "2801234",
    "url": "https://account.amazon.com/jobs/2801234/apply",
    "detailUrl": "https://www.amazon.jobs/en/jobs/2801234/software-development-engineer-aws-lambda",
    "location": "US, WA, Seattle",
    "normalizedLocation": "Seattle, Washington, USA",
    "locations": [
        {
            "city": "Seattle",
            "state": "Washington",
            "countryCode": "USA",
            "country": "United States",
            "display": "Seattle, Washington, USA"
        }
    ],
    "city": "Seattle",
    "state": "Washington",
    "countryCode": "USA",
    "jobCategory": "Software Development",
    "jobFamily": "Software Development",
    "team": "AWS Lambda",
    "businessCategory": "Amazon Web Services",
    "jobScheduleType": "full-time",
    "companyName": "Amazon.com Services LLC",
    "basicQualifications": "3+ years of non-internship professional software development experience...",
    "preferredQualifications": "Experience with distributed systems and cloud infrastructure...",
    "description": "As a Software Development Engineer on AWS Lambda you will design, build, and operate the serverless compute platform used by millions of developers worldwide. You will own services end to end...",
    "descriptionShort": "Join the AWS Lambda team to build the world's leading serverless platform...",
    "postedDate": "March 12, 2026",
    "updatedAt": "2026-03-14T09:20:00Z"
}

Core Fields

Field	Type	Description
title	string	Job title as published
jobId	string	Stable public Amazon job identifier (used for deduplication)
url	string	Direct apply link for the role
detailUrl	string	Link to the full job posting page
companyName	string	Hiring Amazon entity for the role
descriptionShort	string	Short summary of the role

Location

Field	Type	Description
location	string	Location as published (e.g. "US, WA, Seattle")
normalizedLocation	string	Cleaned, human-readable location string
locations	object[]	All locations for multi-site roles, each with city, state, country code, country, and display name
city	string	Primary city
state	string	Primary state or region
countryCode	string	ISO country code (e.g. USA, GBR, DEU)

Classification

Field	Type	Description
jobCategory	string	Amazon job category (one of 38)
jobFamily	string	Job family the role belongs to
team	string	Internal team label (e.g. AWS Lambda, Alexa)
businessCategory	string	Business category / org (e.g. Amazon Web Services)
jobScheduleType	string	Employment schedule type (e.g. full-time)

Qualifications & Dates

Field	Type	Description
basicQualifications	string	Required qualifications for the role
preferredQualifications	string	Preferred (nice-to-have) qualifications
description	string	Full role description — responsibilities, team context, and day-to-day scope
postedDate	string	Date the role was posted
updatedAt	string	Timestamp the posting was last updated

Tips for Best Results

• Spell cities the way Amazon does — location is an exact match against Amazon's own city name, so "Bengaluru" returns results while "Bangalore" returns none, and "Köln" beats "Cologne". Use the Countries filter for broad geography.
• Narrow to reach deeper than 10,000 — any single search stops at Amazon's 10,000-result window. To go further, split it into several runs by category, country, or keyword, or add multiple entries to Search URLs.
• Use sortBy: recent for monitoring — set it to Most recent on a schedule and you capture brand-new postings first, which is ideal for daily alerts and freshness tracking.
• Pick categories from the list, don't type them — category filtering matches Amazon's exact labels, so choosing from the dropdown guarantees hits instead of silent zeros.
• Start small to validate — run with maxResults of 50 first to confirm your filter mix returns the roles you expect, then scale up.
• Screen with both qualification blocks — filter your results on basicQualifications for hard requirements and preferredQualifications for differentiators, rather than parsing one description field.
• Search URLs are the escape hatch — build a search on amazon.jobs with any filters you like, copy the URL, and paste it into Search URLs to run combinations the structured fields don't cover.

Pricing

From $0.01 per 1,000 results — among the most affordable job-board scrapers on the platform. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.0025	$0.0020	$0.0015	$0.0010
1,000	$0.025	$0.020	$0.015	$0.010
10,000	$0.25	$0.20	$0.15	$0.10
100,000	$2.50	$2.00	$1.50	$1.00

A "result" is any job row in the output dataset. Platform fees are additional and depend on your Apify plan.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate recruitment research, talent intelligence, and labor-market analysis using publicly available job postings. Users are responsible for complying with applicable laws and Amazon's Terms of Service. Do not use extracted data for spam, harassment, or any unlawful purpose, and handle any personal data contained in postings responsibly and in line with applicable privacy regulations.