You monitor supply chain disruptions by tracking public notices from ports, carriers, weather agencies, and customs authorities on a schedule, detecting when a page changes, and sending the change to the people who act on it. The goal is to learn about a closure, strike, or service change before it shows up as a late shipment.
What signals should you track?
Most early warnings are published on public web pages before they reach news coverage or a risk-data feed. The table below lists the main signal types and where they usually appear.
| Signal type | What it tells you | Typical public sources |
|---|---|---|
| Port notices | Closures, berth restrictions, gate hours, congestion, terminal advisories | Port authority websites, terminal operator notice pages |
| Strike announcements | Planned or active labor action, start dates, affected terminals | Union and employer press pages, port authority statements, news sites |
| Weather advisories | Storms, fog, high winds, flooding that can halt vessel or truck movement | National weather service pages, marine forecast pages, port weather notices |
| Carrier service notices | Schedule changes, blank sailings, rerouting, surcharges, cargo restrictions | Carrier customer advisory pages and news sections |
| Customs notices | New inspection rules, system outages, tariff or documentation changes | Customs authority announcements and trade notice pages |
Each signal type answers a different question. Port and weather notices describe conditions at a location. Carrier notices describe changes to a service. Customs notices describe changes to the rules cargo must meet.
How does scheduled monitoring work?
Scheduled monitoring means collecting the same public pages at a fixed frequency, such as hourly or daily, and comparing each collection with the previous one. The frequency should match how fast the signal moves. A port congestion page may need hourly checks. A customs rules page may need one check a day.
Change detection works in three steps:
- Collect. The selected pages are collected on the agreed schedule.
- Structure. Key fields are pulled out of each page, such as the notice title, publish date, location, and effective date.
- Compare. New records and changed fields are flagged against the last collection, so your team sees only what is new.
Flagging records instead of whole pages keeps the alert short. Your team reads one line about a new notice instead of rereading a page that did not change.
Example: a port strike notice on a port authority page
Suppose a port authority posts a strike notice on its news page. The notice names the affected terminals and a start date three days out.
A scheduled collection checks the news page every hour. When the new notice appears, the record is extracted with its title, publish date, terminals affected, and start date. The comparison step marks the record as new. The record is then delivered to your system as a file or through an API.
Your logistics team sees the notice within the hour. They can check which of their containers are booked through those terminals and decide whether to reroute or hold shipments, before the strike begins.
Where does web data fall short as a risk source?
Public web pages cover announcements well. They cover other needs poorly:
- Delays in publishing. A port or carrier may post a notice hours after the event, or not at all.
- No private data. Booking status, container positions, and carrier portals that need a login are outside public web monitoring.
- No scoring. A page change tells you something was posted. It does not tell you how severe the disruption is or how likely it is to affect your lanes.
- Inconsistent formats. Notices vary by site and language, so each source needs its own field definitions.
- Source changes. A site redesign or removed page can interrupt a feed until the extraction is updated.
Public web monitoring works best as an early-warning layer. It sits next to your own shipment data and, where needed, a commercial risk feed.
How ScrapeHero fits
ScrapeHero collects public notices from the sources you choose and delivers structured records on a schedule. The data can go out as CSV, Excel, or JSON files, or through a custom API that returns the selected fields. We manage the collection and maintenance, so your team does not have to build and repair scrapers for each port, carrier, and customs site.
For large source lists, such as dozens of port and carrier sites, our supply chain monitoring covers collection at that scale.
Send us the port, carrier, weather, and customs pages you want tracked, along with the fields and check frequency. Our web scraping service team will scope the sources and the delivery schedule for your alert workflow.
FAQs
A risk-data vendor adds scoring, curation, and often private or licensed data. Web monitoring gives you the original public notice, with its exact wording and timing. Many teams use web monitoring for speed and source detail, and a vendor for severity scoring.
Yes. Structured records can be delivered through an API or as scheduled files. A dashboard or alerting tool can read each new record and display or route it by port, carrier, or severity rules you define.
Start with the ports and carriers on your highest-volume lanes. Add the customs authority for each country you ship to, then weather advisories for those same regions. Expand once the first set produces alerts your team uses.
