📦 FedEx Package Tracking Scraper

🚀 Track FedEx packages by tracking number in seconds. Real-time delivery status, scan history, timestamps, locations, signed-by. No login.

🕒 Last updated: 2026-05-09 · 📊 20+ fields per package · 📦 Up to 30 numbers per run · 🚫 No auth required

Pull live FedEx package tracking data by tracking number. The actor accepts a list of FedEx tracking numbers (up to 30 per run) and returns one structured record per package with current status, full scan history, estimated and actual delivery dates, shipper/recipient details, weight, and service type. Built for logistics ops, e-commerce fulfillment, customer-service automation, and supply-chain monitoring.

Every run fetches data live so you get the current tracking state at run time. Records include the tracking number, current status, estimated delivery date, actual delivery date (if delivered), full scan history with timestamps and locations, shipper and recipient cities, service type, weight, signed-by name, and delivery attempts.

👥 Built for	🎯 Primary use cases
E-commerce ops	Bulk-track customer shipments and surface exceptions
Logistics teams	Monitor SLA compliance across fleets
Customer-service automation	Auto-respond to "where is my package" queries
Supply-chain monitoring	Track inbound shipments in your ERP
Returns management	Validate delivery and signature on returns
Fulfillment-tech apps	Power tracking widgets in your storefront

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📋 What the FedEx Scraper does

• 📦 Bulk tracking. Submit up to 30 tracking numbers per run.
• 📊 Live status. Current package status (in transit, out for delivery, delivered, etc.).
• 📅 Delivery dates. Estimated and actual delivery dates.
• 🗺️ Full scan history. Every scan event with timestamp and location.
• 👤 Sender/recipient. Shipper and recipient cities (full addresses are not exposed by FedEx public tracking).
• 📐 Package details. Service type, weight, dimensions, signed-by name.

The scraper resolves each tracking number against FedEx's public tracking API and pushes one structured record per package to the dataset.

💡 Why it matters: FedEx ships 16+ million packages a day but its bulk-tracking API is paywalled and the public site is rate-limited. A live, structured pull beats manual lookup for ops teams that need to track many shipments at once.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Slack via Apify integrations.

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⚙️ Input

Field	Type	Name	Description
trackingNumbers	array	Tracking Numbers	Required. List of FedEx tracking numbers (up to 30 per run).
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
proxyConfiguration	object	Proxy Configuration	Proxy settings. Residential proxies are required (Akamai protection).

Example 1. Single tracking number lookup.

{
  "trackingNumbers": ["123456789012"],
  "maxItems": 1
}

Example 2. Bulk lookup of 5 tracking numbers.

{
  "trackingNumbers": [
    "123456789012",
    "234567890123",
    "345678901234",
    "456789012345",
    "567890123456"
  ],
  "maxItems": 5
}

⚠️ Good to Know: FedEx caps lookups at 30 tracking numbers per query. The actor supports up to 30 in trackingNumbers. For larger batches, run multiple times.

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📊 Output

The dataset returns one structured record per tracking number. Each record carries the tracking number, current status, dates, scan history, shipper/recipient cities, service type, weight, and signed-by name. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🆔 trackingNumber	string	123456789012
📊 status	string	Delivered
📅 estimatedDelivery	ISO date	2026-05-08
📅 actualDelivery	ISO datetime or null	2026-05-08T14:30:00Z
🚚 serviceType	string	FedEx Ground
📐 weight	string	5.2 lbs
📏 dimensions	string or null	12 x 8 x 6 in
👤 signedBy	string or null	J SMITH
🏠 shipperCity	string	Memphis
📮 shipperState	string	TN
🌍 shipperCountry	string	US
🏠 recipientCity	string	San Francisco
📮 recipientState	string	CA
🌍 recipientCountry	string	US
🗺️ scanHistory	array	[{"date":"...","location":"...","status":"..."}]
🔢 deliveryAttempts	number	1
📅 scrapedAt	ISO datetime	2026-05-09T12:00:00.000Z

📦 Sample records

1. Delivered package (full record)

{
  "trackingNumber": "123456789012",
  "status": "Delivered",
  "estimatedDelivery": "2026-05-08",
  "actualDelivery": "2026-05-08T14:30:00Z",
  "serviceType": "FedEx Ground",
  "weight": "5.2 lbs",
  "dimensions": "12 x 8 x 6 in",
  "signedBy": "J SMITH",
  "shipperCity": "Memphis",
  "shipperState": "TN",
  "shipperCountry": "US",
  "recipientCity": "San Francisco",
  "recipientState": "CA",
  "recipientCountry": "US",
  "scanHistory": [
    {"date": "2026-05-08T14:30:00Z", "location": "San Francisco, CA", "status": "Delivered"},
    {"date": "2026-05-08T08:45:00Z", "location": "San Francisco, CA", "status": "Out for delivery"},
    {"date": "2026-05-07T22:00:00Z", "location": "Oakland, CA", "status": "Arrived at hub"},
    {"date": "2026-05-06T09:00:00Z", "location": "Memphis, TN", "status": "Picked up"}
  ],
  "deliveryAttempts": 1,
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

2. In-transit package

{
  "trackingNumber": "234567890123",
  "status": "In Transit",
  "estimatedDelivery": "2026-05-12",
  "actualDelivery": null,
  "serviceType": "FedEx Express Saver",
  "weight": "2.0 lbs",
  "shipperCity": "Atlanta",
  "shipperState": "GA",
  "shipperCountry": "US",
  "recipientCity": "Chicago",
  "recipientState": "IL",
  "recipientCountry": "US",
  "scanHistory": [
    {"date": "2026-05-09T07:00:00Z", "location": "Indianapolis, IN", "status": "Arrived at hub"},
    {"date": "2026-05-08T18:00:00Z", "location": "Atlanta, GA", "status": "Picked up"}
  ],
  "deliveryAttempts": 0,
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

3. Failed delivery (sparse fields)

{
  "trackingNumber": "345678901234",
  "status": "Delivery Exception",
  "estimatedDelivery": "2026-05-08",
  "actualDelivery": null,
  "serviceType": "FedEx Home Delivery",
  "shipperCity": "Houston",
  "shipperState": "TX",
  "recipientCity": "Boston",
  "recipientState": "MA",
  "scanHistory": [
    {"date": "2026-05-08T12:00:00Z", "location": "Boston, MA", "status": "Recipient not at home"}
  ],
  "deliveryAttempts": 1,
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to FedEx tracking so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects FedEx as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured tracking data without the engineering overhead of building and maintaining your own integration.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ FedEx Tracking Scraper (this Actor)	$5 free credit, then pay-per-use	Public FedEx tracking API	Live per run	Tracking numbers	⚡ 2 min
FedEx official API	Free with FedEx contract	Full	Live	Limited	⏳ Hours of integration + contract
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Manual lookups	Hours per check	One at a time	Stale	Manual	🕒 Variable

Pick this Actor when you want fast, scalable tracking without setting up a FedEx integration.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the FedEx Package Tracking Scraper page on the Apify Store.
3. 🎯 Add tracking numbers. Paste up to 30 FedEx tracking numbers into trackingNumbers.
4. 🚀 Run it. Click Start and let the Actor track your packages.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to first tracked record: 3-5 minutes for a single batch.

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💼 Business use cases

📊 E-commerce ops Bulk-track customer shipments Surface delivery exceptions for proactive support Build internal tracking dashboards Power CSAT analysis with delivery data	🏢 Logistics and supply chain Monitor SLA compliance across fleets Track inbound shipments to your warehouses Build supplier delivery scorecards Alert on delays for time-sensitive cargo
🎯 Customer service automation Auto-respond to "where is my package" queries Power chatbot tracking lookups Pre-empt support tickets with delivery alerts Build branded tracking pages	🛠️ Engineering and product Add tracking to e-commerce platforms Replace expensive carrier API integrations Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating FedEx Package Tracking Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to refresh tracking data hourly for active shipments. Combine with webhooks to alert on status changes between runs.

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💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test FedEx Package Tracking Scraper and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running FedEx Package Tracking Scraper regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running FedEx Package Tracking Scraper at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using FedEx Package Tracking Scraper

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run FedEx Package Tracking Scraper on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use FedEx Package Tracking Scraper?

Yes. FedEx Package Tracking Scraper only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Integrate with any app

FedEx Package Tracking Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get tracking alerts in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a package status changes.

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🔗 Recommended Actors

• 📦 UPS Tracking Scraper - UPS package tracking by tracking number
• 🛒 Amazon Reviews Scraper - Amazon product reviews and ratings
• 🚛 FMCSA Carrier Safety Scraper - U.S. motor carrier safety records
• 📋 Importyeti Scraper - U.S. import shipment records
• 🏷️ Zauba Scraper - Indian import / export trade data

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by FedEx Corporation. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available tracking pages and is intended for legitimate logistics and customer-service use. Users are responsible for compliance with the source site's Terms of Service and applicable law.