VesselFinder lists ships with name, IMO, MMSI, type and flag, and ports with arrivals and departures. Our VesselFinder scraper delivers both, every row timestamped.
Plans from €169/month · Free project assessment · Reply within 1 business day
ScrapeIt builds and runs the pipeline as a managed service. We collect the vessel, list and index pages here, keep positional history where your use case needs it, join it to vessel particulars and to your own bookings, and hand back CSV, JSON, Excel or a push into your warehouse with provenance recorded per row.
Everything we deliver is publicly available - what any visitor can see on VesselFinder - and we collect it legally, with pacing, proxy rotation and rendering handled as part of the service.
Vessel movement data is commercial information about ships and their operators rather than personal data.
From the vessel, list and index pages we collect vessel identity and particulars as listed: name, IMO number, MMSI, vessel type, flag, gross tonnage and deadweight where published, year built, and current status where shown in a list view.
Port and movement information covers port name and country, arrivals and departures as listed, and the vessels associated with a port in the index views, each with the timestamp the observation was made.
Every record carries its source surface explicitly. When a client asks later where a field came from, the answer has to be precise, particularly when a vessel page and an index view report the same ship.
Where a project also uses your own bookings, that data joins on IMO and MMSI and carries its own provenance fields, so a downstream user can always tell which rows came from which source.
Positional history is built from repeated observations of the vessel pages, each labelled with the time it was taken.
Position history is the substrate for any serious ocean visibility product: positions observed on the vessel pages, normalised, stored with their timestamps and joined to vessel particulars and to your own bookings. We build that pipeline as part of the collection.
Port congestion analysis is one of the more valuable outputs and it is derived rather than collected. Arrivals, waiting time at anchorage and berth turnaround produce a congestion measure per port over time, which is a leading indicator for schedule reliability on the lanes that call there.
Identifier hygiene deserves attention. A vessel has an IMO number that persists for its life, an MMSI that can change, and a name that changes on sale, sometimes several times. Keying on the name produces a dataset where one ship becomes three. We key on IMO, keep the name history, and record the MMSI as an attribute rather than an identity.
Joining to shipment data is the endpoint most clients want: your container on a vessel, that vessel's position and estimated arrival, and the port's current congestion, on one row. That is a join across three sources with three provenances, and keeping them labelled is what makes it maintainable.
VesselFinder tracks ships using AIS, the automatic identification system vessels broadcast, and presents positions, movements, port calls and vessel particulars. It is one of the better known public windows onto ocean freight, which is why it is asked about so often.
The individual vessel view pages carry the deepest per ship detail - position, movement and vessel particulars - while list and index surfaces show fleets and the vessels associated with each port.
Together they support fleet, port and per vessel work. Collected on the schedule you set, each observation carries its timestamp, so positions and port calls build into a history over time.
We collect only publicly available data - everything a visitor can see on VesselFinder - and we collect it legally.
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€199 / one-time
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Ocean visibility is a genuine commercial need. Knowing where a vessel is, when it will berth and how congested a port has become drives real decisions in supply chain planning, commodity trading and freight procurement. The demand is not in question.
AIS is broadcast openly by ships, and VesselFinder turns it into pages any visitor can read: positions, movements, port calls and vessel particulars. Collected on a schedule, those pages answer the questions above across a fleet or a port rather than one ship at a time.
So we collect what the site shows and use it for what it supports: fleet composition, port association, movement observation and per vessel position over time, keyed on vessel identifiers, with provenance recorded per row.
The second reason is port congestion. Arrivals, waiting time at anchorage and berth turnaround, tracked per port over time, are a leading indicator for schedule reliability on the lanes that call there.
The third is continuity. We build, run and repair the collector as the site changes, so the feed keeps arriving.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt is a managed extraction company, not a tool you have to learn. Our team builds the collection and the join to your bookings, watches both as sources change, and repairs the collector before a gap opens in your vessel history.
You see a sample first, in your format, over the ports and vessels you actually care about, with provenance on every row so you can see exactly which source each field came from.
Yes. The vessel pages show position, movement and particulars to any visitor, and, collected on the schedule you set, they build into a position history per vessel, keyed on IMO with every observation timestamped. All of it is public, and we collect it legally.
The vessel pages and the list and index surfaces: vessel identity and particulars, position and movement, port and movement information from index views, and vessel to port association, each with an observation timestamp. That supports fleet composition, port level work and per vessel history at the frequency you choose.
Yes. The ScrapeIt VesselFinder API returns vessel name, IMO number, MMSI, vessel type, flag and port calls as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files or straight into your database.
By keying on the IMO number, which persists for a vessel's life. Names change on sale, sometimes repeatedly, and MMSI can change too. Keying on the name turns one ship into three in your dataset. We keep the name history and record MMSI as an attribute rather than as identity.
Yes, as a derived measure rather than a collected field: arrivals, waiting time at anchorage and berth turnaround, tracked over time per port. It is a leading indicator for schedule reliability on the lanes calling there.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
VesselFinder data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
KRS: 0000996672
NIP: 5423457175
REGON: 523384582
