Atlassian Marketplace Scraper

Extract Atlassian Marketplace app listings, vendor lead data, categories, ratings, installs, hosting options, pricing links, and source URLs from the public Atlassian Marketplace catalog.

Use it to monitor Jira, Confluence, Bitbucket, Jira Service Management, Compass, and other Atlassian ecosystem apps without building and maintaining Marketplace API pagination yourself.

What does Atlassian Marketplace Scraper do?

Atlassian Marketplace Scraper collects public app catalog data from Atlassian Marketplace and saves clean structured records to an Apify dataset.

It can search by keywords, filter by Atlassian product, filter by hosting type, and export app/vendor metadata that sales, partner, and competitive-intelligence teams use every day.

Typical output includes:

• App name, app key, app ID, and Marketplace URL
• Vendor name, vendor ID, and vendor profile URL
• Categories, supported Atlassian products, and hosting options
• Rating, review count, installs, downloads, and user signals
• Paid/free and pricing-page links where exposed
• Cloud Fortified and other public Marketplace flags
• Scrape timestamp and source API URL

Who is it for?

B2B SaaS sales teams

Find companies building commercial apps in the Atlassian ecosystem and enrich vendor lists for outbound research.

DevOps and ITSM vendors

Track competing Jira, Confluence, Bitbucket, and Jira Service Management apps by keyword, category, rating, and popularity.

Marketplace partners

Monitor category movement, new competitors, install signals, and vendor positioning in relevant Atlassian product segments.

Product marketers

Build snapshots of app names, summaries, ratings, reviews, and pricing links for positioning analysis.

Data teams

Schedule repeatable Marketplace exports into warehouses, CRMs, dashboards, or enrichment workflows.

Why use this scraper?

Atlassian Marketplace is a valuable B2B catalog, but collecting it manually is slow and inconsistent.

This actor gives you repeatable exports with pagination, deduplication, and normalized dataset fields already handled.

It is useful when you need a lightweight catalog snapshot, not a full browser automation workflow.

Data fields

Field	Description
appKey	Stable Marketplace app key
appId	Public app ID when available
name	App listing name
summary	App summary or description snippet
tagline	Marketplace tagline when available
appUrl	Public Marketplace listing URL
apiUrl	Source REST API URL for the app
vendorName	Vendor or partner name
vendorId	Marketplace vendor ID
vendorUrl	Vendor profile URL
categories	Marketplace categories
supportedProducts	Jira, Confluence, Bitbucket, and related products
hosting	Cloud, Data Center, or Server hosting values
isCloudFortified	Cloud Fortified flag if exposed
isPaid	Paid/free flag if exposed
pricingUrl	Pricing tab URL when available
rating	Average star rating
reviewCount	Review count
downloads	Download count
totalInstalls	Install count
totalUsers	User count when exposed
logoUrl	App logo URL
searchTerm	Search term that produced the row
scrapedAt	ISO timestamp

How much does it cost to scrape Atlassian Marketplace apps?

This actor uses pay-per-event pricing.

You pay a $0.005 run-start fee and a tiered per-app fee. The BRONZE per-app price is $0.000030801, with lower per-app rates on higher Apify plans.

The exact live price is shown on the Apify actor page before you start a run.

Keep maxItems low for smoke tests and raise it for production exports.

How to use

1. Open the actor on Apify.
2. Add one or more searchTerms, such as jira automation, confluence documentation, or bitbucket security.
3. Optionally filter by applications, for example jira or confluence.
4. Optionally choose hosting values such as cloud or datacenter.
5. Set maxItems to the number of apps you want.
6. Run the actor.
7. Download the dataset as JSON, CSV, Excel, XML, or via API.

Input options

Search terms

Use searchTerms to collect apps matching commercial or technical keywords.

Examples:

• jira automation
• confluence documentation
• jira service management reporting
• bitbucket security
• asset management

Atlassian products

Use applications to focus on one or more Atlassian products.

Common values include:

• jira
• confluence
• bitbucket
• jira-service-management
• jira-software
• compass
• trello

Hosting

Use hosting to segment Cloud, Data Center, and Server app listings.

Cost filter

Use cost to request any, free, or paid apps.

Maximum apps

Use maxItems to control dataset size and cost.

Example input

{
  "searchTerms": ["jira automation", "confluence documentation"],
  "applications": ["jira"],
  "hosting": ["cloud"],
  "cost": "any",
  "maxItems": 100,
  "pageSize": 50,
  "includeDetails": true
}

Example output

{
  "appKey": "com.googlecode.jira-suite-utilities",
  "name": "JSU Automation Suite for Jira Workflows",
  "appUrl": "https://marketplace.atlassian.com/apps/5048/jsu-automation-suite-for-jira-workflows?tab=overview",
  "vendorName": "Appfire",
  "categories": ["Admin tools", "Workflow", "Utilities"],
  "supportedProducts": ["jira"],
  "hosting": ["cloud"],
  "rating": 4.55,
  "reviewCount": 298,
  "totalInstalls": 12525,
  "downloads": 586074,
  "searchTerm": "jira automation"
}

Tips for better results

• Use specific search terms when you need competitor intelligence.
• Use product filters when building segmented lead lists.
• Start with maxItems around 50 for validation.
• Increase maxItems for scheduled monitoring exports.
• Keep includeDetails enabled when you want the richest metadata.

Integrations

CRM enrichment

Export vendor names and Marketplace URLs to enrich accounts in HubSpot, Salesforce, Pipedrive, or Airtable.

Competitive dashboards

Schedule the actor daily or weekly and compare rating, review count, and install changes over time.

Partner discovery

Find vendors building in your target Atlassian product category and route them to partner or channel teams.

Data warehouses

Send results to BigQuery, Snowflake, PostgreSQL, or S3 using Apify integrations and webhooks.

API usage

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/atlassian-marketplace-scraper').call({
  searchTerms: ['jira automation'],
  applications: ['jira'],
  maxItems: 100
});
console.log(run.defaultDatasetId);

Python

from apify_client import ApifyClient

client = ApifyClient('MY-APIFY-TOKEN')
run = client.actor('automation-lab/atlassian-marketplace-scraper').call(run_input={
    'searchTerms': ['confluence documentation'],
    'applications': ['confluence'],
    'maxItems': 100,
})
print(run['defaultDatasetId'])

cURL

curl "https://api.apify.com/v2/acts/automation-lab~atlassian-marketplace-scraper/runs?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"searchTerms":["jira automation"],"applications":["jira"],"maxItems":100}'

MCP usage

Use this actor from Claude Desktop, Claude Code, or other MCP-compatible tools through Apify MCP.

MCP server URL:

https://mcp.apify.com/?tools=automation-lab/atlassian-marketplace-scraper

Claude Code setup:

$claude mcp add --transport http apify-atlassian-marketplace "https://mcp.apify.com/?tools=automation-lab/atlassian-marketplace-scraper"

Claude Desktop JSON config:

{
  "mcpServers": {
    "apify-atlassian-marketplace": {
      "url": "https://mcp.apify.com/?tools=automation-lab/atlassian-marketplace-scraper"
    }
  }
}

Cursor JSON setup:

{
  "mcpServers": {
    "apify-atlassian-marketplace": {
      "url": "https://mcp.apify.com/?tools=automation-lab/atlassian-marketplace-scraper"
    }
  }
}

VS Code JSON setup:

{
  "servers": {
    "apify-atlassian-marketplace": {
      "url": "https://mcp.apify.com/?tools=automation-lab/atlassian-marketplace-scraper"
    }
  }
}

Example prompts:

• "Scrape 100 Jira automation apps from Atlassian Marketplace and summarize the top vendors."
• "Find Confluence documentation apps with ratings and install counts."
• "Build a CSV of Atlassian Marketplace vendors in the ITSM category."

Scheduling

Run the actor on a schedule to track Marketplace movement.

Common schedules:

• Weekly competitor category snapshot
• Monthly vendor lead refresh
• Daily monitoring of a narrow keyword set

Data freshness

The actor fetches live public Marketplace API data at run time.

Dataset values can change as Atlassian updates listings, reviews, installs, and vendor pages.

Limitations

This actor focuses on app catalog metadata.

It does not currently export full review text as a separate dataset.

It does not scrape private listings or authenticated vendor-console data.

Public Marketplace API fields may be missing for some apps.

FAQ and troubleshooting

I received fewer apps than maxItems

The filters may not have enough matching Marketplace results, or duplicate apps appeared across multiple search terms and were deduplicated.

Some fields are null

Atlassian does not expose every field for every listing. Null values mean the public API omitted that field.

Which application IDs should I use?

Start with jira, confluence, bitbucket, or jira-service-management. If unsure, leave applications empty.

Legality

This actor extracts publicly available Atlassian Marketplace catalog data.

You are responsible for using the data in accordance with applicable laws, Atlassian terms, and privacy requirements.

Do not use the output for spam, unauthorized profiling, or unlawful processing.

Related scrapers

Related automation-lab actors that may fit adjacent workflows:

• Google Maps Lead Finder for local business lead discovery
• Website Contact Finder for finding emails and contact pages
• Trustpilot Scraper for review and reputation monitoring
• G2 Scraper for B2B software competitor intelligence

Changelog

0.1

Initial Atlassian Marketplace app catalog scraper with keyword search, product filters, hosting filters, vendor fields, ratings, installs, and pricing links.

Support

If you need additional fields such as full review text, vendor websites, or separate vendor datasets, open an issue on the actor page with example Marketplace URLs and the fields you need.