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Service · Logistics & freight data

Logistics & Freight Data Scraping

Published rates and surcharges, with the fine print that decides landed cost.

Logistics and freight data scraping is the automated collection of publicly published shipping and transport information — carrier rate sheets and surcharges, transit times, service schedules, courier pricing, port and terminal notices, and disruption announcements — structured so landed cost and route performance can be compared consistently.

A freight quote is a base rate plus eleven surcharges, half of which change monthly and live in a PDF tariff notice. The base rate is the number everyone tracks and the least useful one.

Free pilot on your own sources, returned in 48 hours. No card, no trial clock — and you keep the sample data either way.

Surcharges captured separately Published sources only Free pilot sample in 48 hours
freight_rates_2026-08-05.jsonl LIVE FEED
{"mode":"ocean_fcl", "carrier":"Example Lines", "lane":"CNSHA-NLRTM", "equipment":"40HC", "base_rate_usd":1840, "surcharges":[{"code":"BAF","amount":312}, {"code":"THC_DEST","amount":205}, {"code":"PSS","amount":150, "effective_from":"2026-08-15"}], "all_in_estimate_usd":2507, "transit_days":31,"transhipments":1, "service_name":"AEX3", "rate_type":"published_tariff", "source_ref":"pdf:tariff-2026-08.pdf#p11", "observed_at":"2026-08-05T05:07Z"} {"mode":"parcel","carrier":"Example Express", "origin_zone":"GB-M","dest_zone":"US-Z5", "weight_kg":5,"list_price_gbp":64.20, "fuel_surcharge_pct":28.5, "transit_days":3}
2 of 1,104,600 lane-service rows · run 2026-08-05T05:00Zsurcharge extraction 93.7% · schema v4.2
Our Data Powers
B2C Marketplace
amazon
D2C + Marketplace
NYKAA
D2C + Marketplace
Walmart
FMCG Marketplace
udaan
Food Delivery
Uber Eats
Quick Commerce
blinkit
Taxi Aggregator
Uber
E-Commerce
Tmall

Key facts at a glance

What it is
Managed collection of publicly published logistics rates, surcharges, transit times and disruption notices
Modes
Ocean FCL and LCL, air cargo, road and parcel, each with mode-appropriate structure
Surcharges
Captured as separate line items with codes and effective dates, not folded into a base rate
Transit & service
Published transit days, transhipment counts and named service strings
Traceability
Every rate figure carries a source reference to the tariff document and page
Disruption
Port notices, terminal advisories and carrier announcements as timestamped events
Refresh
Weekly to daily for rates and surcharges; near real time for disruption alerting
Who it's for
Shippers, freight forwarders, 3PLs, procurement teams, analysts and ecommerce operators
Surchargesas separate line itemswith effective dates
93.7%surcharge extraction ratefrom PDF tariffs
4 modesocean, air, road, parcelone schema family
Source refon every rate figuretraceable to page

Key takeaways

  • What it is: Managed collection of publicly published logistics rates, surcharges, transit times and disruption notices
  • Modes: Ocean FCL and LCL, air cargo, road and parcel, each with mode-appropriate structure
  • Surcharges: Captured as separate line items with codes and effective dates, not folded into a base rate
  • Transit & service: Published transit days, transhipment counts and named service strings
  • Traceability: Every rate figure carries a source reference to the tariff document and page
  • Disruption: Port notices, terminal advisories and carrier announcements as timestamped events

Last verified 5 August 2026 by the Actowiz Solutions Data Engineering team.

Definition

What is logistics and freight data scraping, and why do surcharges matter more than base rates?

Logistics and freight data scraping is the automated collection of publicly published transport information: carrier tariff rates and surcharges, transit times and service schedules, parcel and courier pricing, port and terminal notices, and disruption announcements.

The defining characteristic of this category is that the headline rate is a small fraction of what you actually pay, and the rest is deliberately fragmented across documents.

The surcharge stack

On an ocean container move, the base rate might be half of the all-in cost. The remainder arrives as separately published surcharges: bunker adjustment, terminal handling at origin and destination, peak season surcharge, congestion surcharge, documentation, security, equipment imbalance, currency adjustment and more. Each has its own effective date and its own announcement document.

  • They change on different cycles. Bunker adjustments move monthly; peak season surcharges are announced weeks ahead; congestion surcharges appear with little notice.
  • They are published separately. Usually in tariff notices and PDF circulars rather than alongside the rate.
  • They vary by lane and equipment. The same surcharge code carries different amounts by trade lane and container type.
  • They are where cost surprises come from. A stable base rate with three new surcharges is a rate increase that base-rate tracking will not show.

How we structure it

Surcharges are captured as an array of line items with codes, amounts and effective dates, alongside the base rate. We compute an all-in estimate as a convenience field, but the components are the deliverable — because which surcharges apply to your shipment depends on your terms, and an all-in figure that assumes someone else's terms is not your cost.

Every figure carries a source reference to the tariff document and page, since freight cost data is routinely challenged in procurement conversations and a number without provenance does not survive that.

What we cannot give you

Contracted rates. Your negotiated rates and those of your competitors are confidential commercial terms, not published data. Published tariff rates are typically higher than contracted ones, and we say so rather than implying published rates represent market clearing levels.

What we collect

Six categories of logistics and freight data

Ocean and parcel are the most requested. Disruption monitoring is often added after the first supply chain event.

Ocean freight

Container rates and the surcharge stack that surrounds them.

  • Published FCL and LCL tariff rates
  • Full surcharge line items with effective dates
  • Equipment type differentiation
  • Transit days and transhipment counts
  • Named service strings and rotations

Air cargo

Published air freight pricing and capacity signals.

  • Published rates by lane and weight break
  • Fuel and security surcharges
  • Transit and connection structure
  • Published capacity and schedule changes
  • Special handling surcharges

Road & parcel

The mode with the most published pricing detail.

  • Zone-based list pricing by weight
  • Fuel surcharge percentages
  • Residential and remote area fees
  • Dimensional weight rules
  • Service level transit commitments

Ports & terminals

The infrastructure layer that drives reliability.

  • Terminal notices and advisories
  • Published gate and berth conditions
  • Free time and detention terms
  • Published congestion indicators
  • Terminal handling charge schedules

Disruption events

Timestamped events, not commentary.

  • Carrier blank sailing announcements
  • Port closure and strike notices
  • Weather and canal advisories
  • Route diversion announcements
  • Capacity withdrawal notices

Market structure

The competitive and capacity picture.

  • Service and rotation changes over time
  • Carrier lane coverage
  • Published schedule reliability
  • New service launches and withdrawals
  • Alliance service structure where published
Service scope

What the ecommerce data scraping service includes

A managed engagement, not a tool licence. We own the pipeline and everything that breaks in it.

✓ Included in every engagement

  • Surcharge line items with codes and effective dates, kept separate from base rate
  • Mandatory rate_type on every record so published, spot and list are never blended
  • Page-level source references on every rate figure for procurement defence
  • Disruption events deduplicated across announcing sources and lane-matched before delivery
  • Mode-appropriate schemas rather than one structure forced across ocean, air and parcel
  • Source discovery, scoping and a written collection plan
  • Free pilot on your own sources before any commitment
  • Full pipeline build, hosting and proxy infrastructure
  • Schema design, validation and sampled human QA on every run
  • Ongoing maintenance when source layouts change — our cost, not yours
  • Delivery to your warehouse, bucket, SFTP or API endpoint
  • Documented methodology and compliance notes for your legal review

× Not included — stated upfront

  • Contracted rates, yours or a competitor's — confidential commercial terms
  • Carrier booking portals, customer accounts or contracted rate systems
  • Obtaining quotes using fabricated shipper or consignee details
  • Redistribution of licensed commercial freight indices
  • Anything behind a login, paywall or credentialed session
  • Personal data beyond a documented lawful basis
  • Licensed third-party datasets we do not hold rights to
  • Guarantees about fields a source simply does not publish
Schema

Logistics and freight data fields you receive

Every engagement delivers a documented schema. These are core ocean and parcel fields; air and road follow the same structure.

Deliverable schema — v4.2 core fields (full dictionary: 120+ fields across modes)
Field Type What it captures Refresh
mode enum ocean_fcl, ocean_lcl, air, road or parcel, since each mode prices differently Every run
carrier / service_name string Carrier and the named service or product, which determines transit structure Every run
lane / origin_zone / dest_zone string Port pair or zone pair depending on mode, normalised to standard codes Every run
equipment / weight_break enum / decimal Container type for ocean, or weight break for air and parcel Every run
base_rate decimal Published base rate in the tariff currency, before surcharges Per cadence
surcharges array Line items with code, amount and effective date, kept separate from base rate Per cadence
all_in_estimate decimal Convenience total using standard applicability assumptions, which we document Per cadence
transit_days / transhipments int Published transit time and transhipment count for the service Weekly
rate_type enum published_tariff, spot_indicative or list_price, so rate basis is never ambiguous Every run
source_ref string Reference to the tariff document and page a figure came from Every run
event_type / effective_from enum / date For disruption records, the event class and effective date Near real time

rate_type is mandatory on every record because published tariff, indicative spot and retail list price are different things. Blending them produces a series that looks like a market rate and is not one.

Coverage

Carriers, sources and modes we collect from

Coverage is built to your lanes and carrier set. Published tariff documents are the highest-value and most PDF-heavy source.

Ocean carrier tariff pagesCarrier surcharge circularsPublished sailing schedulesBlank sailing announcementsAir cargo carrier rate publicationsIATA-format published ratesParcel carrier list pricingCourier zone and surcharge tablesPort authority noticesTerminal operator advisoriesCanal authority publicationsCustoms authority noticesFreight index public publicationsRoad haulage published tariffsRail freight published ratesWarehousing published rate cardsTrade association advisoriesGovernment transport notices

We collect published tariff and list pricing. Contracted rates, whether yours or a competitor's, are confidential commercial terms and are not obtainable from public sources by anyone. Request a source we don't list →

Markets served

Countries and markets where this service is in highest demand

We deliver into 40+ countries. These are the markets where this particular service is requested most, and the reason demand concentrates there.

Highest-demand markets for this service, and why demand concentrates there
Market Why demand concentrates here
Asia–Europe lanes The highest-volume container corridor and the one where surcharge activity and disruption events concentrate most heavily.
United States Transpacific and transatlantic lanes plus the deepest published parcel pricing, which makes ecommerce fulfilment modelling especially viable.
United Kingdom & Western Europe Dense road and parcel networks with well-published tariffs, heavily used for fulfilment cost modelling.
United Arab Emirates, Saudi Arabia & India Major transhipment and growth corridors with rapidly changing service structures and capacity.

North America

United StatesCanadaMexico

United Kingdom & Ireland

United KingdomIreland

Western Europe

GermanyFranceNetherlandsBelgiumSpainItalySwitzerlandAustria

Nordics

SwedenNorwayDenmarkFinland

Middle East

United Arab EmiratesSaudi ArabiaQatarKuwaitIsrael

Asia Pacific

SingaporeAustraliaNew ZealandJapanSouth KoreaMalaysiaIndonesiaThailandVietnamPhilippines

South Asia

IndiaBangladeshSri LankaPakistan

LATAM

BrazilArgentinaChileColombia

Africa

South AfricaNigeriaKenyaEgypt

We run production collection across 40+ countries. Coverage depth varies by market and by source, so we confirm what is actually available for your specific markets during scoping rather than claiming uniform global coverage. Ask about a market we don't list →

Who buys this data

Which teams buy logistics and freight data

Shipper procurement and forwarders dominate, with ecommerce operators and analysts growing quickly.

Head of Logistics Procurement

Manufacturers and retailers
The problem

Rate negotiations happen against carrier-supplied figures with no independent view of published tariffs or surcharge movement.

What we deliver

Published tariff and surcharge panels by lane with effective dates and page-level source references, so negotiation is evidence-based.

Metric that moves

Landed cost per unit

Pricing Manager

Freight forwarders and 3PLs
The problem

Carrier surcharge changes arrive as PDF circulars across dozens of carriers, and missing one means quoting below cost.

What we deliver

Surcharge change detection across your carrier set with effective dates, delivered before the changes take effect.

Metric that moves

Quote margin

Supply Chain Risk Lead

Manufacturers and retailers
The problem

Disruption reaches you through carrier emails and news, usually after the operational decision window has closed.

What we deliver

Near real time disruption event monitoring across ports, terminals and carriers, structured as events against your lanes.

Metric that moves

Disruption response time

Ecommerce Operations Lead

Online retailers and marketplaces
The problem

Parcel and courier pricing across carriers and zones drives fulfilment margin, but list pricing and surcharges change constantly.

What we deliver

Zone-level parcel list pricing with fuel and accessorial surcharges captured separately, refreshed as carriers publish changes.

Metric that moves

Cost per shipment

Investment Analyst

Transport and industrial funds
The problem

Freight market theses need observable published rate and capacity data rather than index summaries alone.

What we deliver

Longitudinal published rate and surcharge panels with service and capacity changes tracked by carrier and lane.

Metric that moves

Signal lead time

Trade Policy Analyst

Government and research bodies
The problem

Assessing trade cost and route resilience requires harmonised published transport cost data over time.

What we deliver

Harmonised published rate and transit datasets by lane and mode with source references, suitable for policy analysis.

Metric that moves

Analysis coverage

Use cases

How logistics and freight data gets used

Four patterns, with the outcome each is judged on.

Surcharge change detection before it hits invoices

Carrier tariff notices and circulars are monitored across your carrier set, with surcharge line items extracted with codes, amounts and effective dates, so increases are visible before they take effect rather than after invoicing.

Outcome: Surcharge increases known in advance, with time to challenge or re-route.

Independent evidence for rate negotiation

Published tariff rates and surcharge structures are collected by lane with page-level source references, giving procurement an independent baseline rather than only carrier-supplied figures.

Outcome: Negotiations anchored to documented published structures rather than to the carrier's own framing.

Disruption monitoring against your own lanes

Port notices, terminal advisories, blank sailings and route diversions are collected as timestamped events and matched to your lane set, so relevance filtering happens before the alert reaches you.

Outcome: Operational response beginning at announcement rather than at the next carrier email.

Parcel cost modelling for ecommerce fulfilment

Zone-based list pricing is collected by weight break with fuel and accessorial surcharges captured separately, enabling cost-per-shipment modelling across carriers and destinations.

Outcome: Fulfilment carrier mix decided on modelled delivered cost rather than headline rate cards.

Engagement examples

Two engagements, anonymised

Clients rarely permit naming. These are real engagement shapes with identifying detail removed, so you can judge whether the work resembles your situation.

Retailer · EU

Surcharge increases were discovered on invoices, not in advance

Situation

Procurement tracked contracted base rates carefully but had no systematic monitoring of carrier surcharge circulars, so increases appeared as unexplained invoice variance.

What we ran

Surcharge extraction across the carrier set with codes, amounts and effective dates, page-referenced, delivered before effective dates.

Result

Surcharge changes became visible ahead of application, with time to challenge or re-route.

Freight forwarder · Asia

Quotes were occasionally issued below cost after carrier changes

Situation

Surcharge notices arrived as PDF circulars from dozens of carriers, and missing one meant pricing a lane on superseded figures.

What we ran

Monitoring across all carriers in scope with change detection on surcharge line items and effective dates, matched to quoted lanes.

Result

Quoting moved onto current published structures, removing a recurring margin leak.

Examples are anonymised at client request. Named references are available on request under NDA. See published case studies →

The 48-hour sample — run on your sources, not ours

Before you commit to anything, we run this service against your own sources and send you the output. If the coverage isn't there, the sample will show you that too — which is the point. We would rather lose the deal at the pilot than at month three.

  • Real extraction from your actual sources
  • Returned inside two business days
  • Coverage and QA note included
  • You keep the data either way
  • No card, no trial clock
  • Named engineer on the call
Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.
How we engage

Three ways to engage us for this work

Same collection pipeline and same QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

  • Dedicated engineer assigned to your account
  • Site changes fixed by us, not reported to you
  • Scheduled delivery to your warehouse or S3
  • Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

  • On-demand and scheduled endpoints
  • Rate limits agreed to your load profile
  • Sandbox keys for integration testing
  • Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

  • Fixed scope agreed in writing upfront
  • Single delivery with full QA report
  • Methodology documented for your records
  • Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Build vs buy

Should you build freight data collection in-house or hire it as a service?

Surcharge extraction from PDF circulars across dozens of carriers is the work, and it never stops.

In-house build vs self-serve tool vs Actowiz managed service
Consideration In-house scraping team Generic proxy / DIY tool Actowiz managed feed
Time to first usable data 6–12 weeks of engineering before anything is trustworthy Days, but output needs manual cleanup before use Free pilot in 48 hours, production in 5–10 business days
Who fixes it when a source changes Your engineers, at the cost of their roadmap You do — tools report failures, they don't resolve them We do, same business day, inside the retainer
Data quality assurance Whatever your team has time to build None beyond HTTP success Schema validation plus sampled human QA on every run
Compliance documentation Rarely produced, then requested urgently by legal Not provided; terms risk sits with you Sources, method and lawful basis documented for review
Accountability Distributed across a team with other priorities A support ticket queue A named engineer and an account owner
True annual cost Engineer salaries, proxies, hosting, ongoing maintenance Low licence fee plus significant hidden analyst time One fixed monthly retainer, quoted after scoping

Why published rates are not market rates, and why we say so

The most common misunderstanding in freight data is treating published tariff rates as the market price. They are not, and a vendor who lets you believe otherwise is setting you up for a bad conversation with your own procurement team.

The rate types, and what each actually means

  • Published tariff. The carrier's official published rate. Real, documented, and typically well above what any volume shipper pays.
  • Contracted rate. Negotiated between shipper and carrier, confidential, and usually the number that matters commercially. Not publicly available — from us or anyone.
  • Spot indicative. Rates published or quoted for immediate booking, closer to market but still not a contract rate.
  • Index levels. Published freight indices, which are useful directionally and are licensed products with their own terms in several cases.
  • Retail list price. Parcel and courier published pricing, which is the closest to a real transacted price in this category because small shippers genuinely pay it.

What this means for use

Every record we deliver carries rate_type, and it is mandatory. Blending published tariff with spot indicative produces a series that looks like a market rate and is not one, which is worse than having no series.

Published data is genuinely useful for three things: surcharge movement, which applies to contracted shippers too and is where real cost surprises come from; directional trend, since published rates move with the market even at a different level; and negotiation evidence, because a documented published structure is a starting point your carrier cannot dispute.

It is not useful for estimating what your competitor pays. If that is the question, no public source answers it and we would rather say so than sell you a proxy.

Disruption monitoring: why lane matching matters more than speed

Supply chain disruption data has an obvious failure mode: alert volume. There is always a port advisory, a weather notice or a terminal congestion update somewhere. Delivered raw, it becomes noise within a week and stops being read.

What makes disruption data usable

  • Lane matching. An advisory only matters if it touches a port, terminal or service you actually use. Relevance filtering must happen before delivery, not in the recipient's inbox.
  • Event structure, not text. Event class, affected locations, effective dates and expected duration as fields, so downstream systems can act rather than a human reading a notice.
  • Severity separation. A routine gate hour change and a multi-week terminal closure should not arrive looking identical.
  • Deduplication. The same event announced by a port authority, three carriers and a trade body is one event.
  • Update tracking. Advisories get revised. Linking updates to the original event prevents each revision reading as a new problem.

How we deliver it

Events are structured, deduplicated across announcing sources, classified by type and severity, and matched against your lane and port set before delivery. Updates link to the original event rather than arriving as new records.

Speed matters less than most buyers assume. Being alerted within ten minutes of an announcement rather than sixty rarely changes a decision, whereas an alert stream you actually read every day changes several. For broader event coverage beyond official notices, this pairs with our news data service, which adds media reporting with the same entity resolution.

How it works

How a logistics data engagement goes live in 5 to 10 business days

Lane set, carrier set and modes are scoped first, since lane count and PDF tariff depth drive both cost and value.

Scope the sources and fields

You send us target sites, regions, SKUs or keywords. We return a field-level schema proposal, coverage estimate and refresh recommendation — usually within two working days.

Pilot sample, free

We extract a real sample from your actual targets so you can inspect field fill rates, edge cases and match quality before any commitment.

Production build and QA harness

Our engineers build extractors, then wire validation rules: type checks, range checks, duplicate detection and golden-record comparison against a manually verified subset.

Scheduled delivery into your stack

Feeds run at your chosen cadence and land in the warehouse or bucket you already use. Schema changes are versioned and announced before they ship.

Ongoing monitoring and SLA support

We watch coverage drift, fill rates and source changes daily. A named engineer owns your account, and layout breaks are fixed by us — not queued for you.

Formats & destinations

JSON, JSONL, CSV, Parquet or XLSX, delivered to Amazon S3, Google Cloud Storage, Azure Blob, SFTP, Snowflake, BigQuery, Databricks or a REST/GraphQL endpoint. Webhooks fire on completion, and every batch ships with a manifest containing row counts, schema version and QA results so your pipeline can fail loudly instead of silently ingesting a bad file.

Compliance & data ethics

We collect publicly published tariff documents, rate pages, schedules and official notices from carriers, ports, terminals and authorities. We do not access carrier booking portals, customer accounts or contracted rate systems, and we do not obtain quotes using fabricated shipper details. Every rate figure carries a source reference for audit.

Service commitments

What we commit to, in writing

These are contractual, not marketing copy. They appear in the engagement document.

Service level commitments written into every managed engagement
Commitment What we hold ourselves to
Pilot turnaround A real sample from your own sources within 48 hours of scoping, at no cost.
Go-live Production collection running within 5–10 business days of sign-off.
Delivery punctuality 99.5% on-schedule delivery, measured monthly and reported to you.
Breakage response Source layout changes triaged same business day; critical sources inside 4 hours.
Data quality Schema validation on every run plus sampled human QA before any delivery leaves us.
Escalation A named engineer and an account owner, not a shared ticket queue.
Change requests Field additions and source changes handled inside the retainer, not re-quoted.
Exit Your historical data exported in full on request. No lock-in, no export fee.

Why teams pick Actowiz for this work

  • Engineers, not a dashboard. You get people who fix breakages, not a self-serve tool you maintain yourself.
  • We tell you what we can't do. Scope limits and coverage gaps are stated before you sign, not discovered in month three.
  • QA is part of the service. Schema validation and sampled human review run before delivery, every run.
  • Compliance is documented. Sources, method and lawful basis written down so your legal team can review them.
  • Fixed monthly cost. No per-request metering, no surprise overage on a month when a competitor adds SKUs.
  • Six years, 40+ countries. Long-running production pipelines across retail, travel, mobility and finance.
Definitions

Terms used on this page

Plain definitions of the terms used on this page, so procurement and legal reviewers are working from the same vocabulary as your data team.

Surcharge stack
The set of separately published charges added to a base freight rate — bunker adjustment, terminal handling, peak season, congestion and others. It frequently accounts for half the all-in cost and changes on different cycles from the base rate.
Rate type
Whether a figure is a published tariff, an indicative spot rate or a retail list price. Blending them produces a series that resembles a market rate without being one.
Blank sailing
A scheduled voyage a carrier cancels, removing capacity from a lane. Announcements typically precede capacity tightening and rate movement, though not all capacity changes are formally announced.
FAQ

Logistics and freight data scraping: frequently asked questions

What procurement, forwarder and operations teams ask during evaluation.

No. Contracted rates are confidential commercial terms between shipper and carrier, and they are not available from any public source — not to us and not to any vendor claiming otherwise.

What we collect is published tariff rates, spot indicative rates where published, and retail list pricing for parcel. Every record carries rate_type so the basis is never ambiguous. Published rates sit above contracted levels, and we state that rather than implying they represent market clearing prices.

Because surcharges are frequently half the all-in cost, change on different cycles from the base rate, and are published in separate documents. A stable base rate with three new surcharges is a rate increase that base-rate tracking will never show.

We deliver surcharges as an array with codes, amounts and effective dates, plus an all-in convenience estimate whose applicability assumptions we document. Which surcharges apply depends on your terms, so a single all-in number that assumes someone else's terms is not your cost.

Yes, and it is the core technical work in this service. Our surcharge extraction rate is around 94%, with every figure carrying a source_ref pointing at the document and page.

That traceability matters because freight cost figures get challenged in procurement conversations. A surcharge amount you can trace to a specific page of a carrier's own circular is evidence; the same number without provenance is an assertion.

Near real time on official notice sources, typically within minutes of publication. But speed is not the constraint that matters in this category — relevance is.

We match events against your lane, port and service set before delivery, deduplicate the same event announced by a port authority and three carriers into one record, and classify by type and severity. An alert stream you read daily is worth far more than one that is ten minutes faster and ignored within a fortnight.

Ocean FCL and LCL, air cargo, road and parcel, each with mode-appropriate structure rather than forced into one schema. Ocean carries equipment type and transhipment structure; air carries weight breaks; parcel carries zone pairs and dimensional weight rules.

Parcel has the most complete published pricing because small shippers genuinely pay list rates, which makes it the mode where public data most closely reflects transacted cost. Ocean published tariffs diverge furthest from contracted reality.

Yes, as structured events with affected service, voyage and effective dates. Blank sailing announcements are among the more valuable disruption signals because they precede capacity tightening and rate movement.

The caveat is announcement discipline: carriers publish these with varying notice and completeness, and some capacity changes are never formally announced. We collect what is published and are explicit that this is not a complete view of actual capacity deployed.

We collect publicly published index levels where the publisher makes them public without licence restriction. Several major freight indices are licensed commercial products, and those we do not redistribute — if you need them, a licence from the publisher is the route.

Where an index is licensed, we will tell you during scoping rather than substituting a proxy series and letting you assume it is the index. A proxy presented as an index is exactly the kind of thing that fails an audit.

We supply the transport cost components — base rate, surcharge line items with applicability, transit times — plus published customs and duty notices where available. Building the landed cost model stays with you, because it depends on your Incoterms, your duty classifications and your own contracted rates.

Clients typically join our published surcharge data to their own contracted base rates, since surcharges usually apply to contracted shippers on the same published terms. That combination is where most of the practical value in this service sits.

We quote individually. The drivers are lane count, carrier count, how many modes you need, PDF tariff extraction depth, and whether disruption alerting is included.

PDF-heavy ocean tariff scopes cost more than parcel list pricing, which is largely page-based. A defined lane set across a handful of carriers with weekly refresh sits at the lighter end; multi-mode global coverage with near real time disruption alerting sits higher. One scoping call, a free pilot on your own lanes within 48 hours, then a fixed monthly quote. Request a quote.

See real freight data for your own lanes

Send us your lanes and carrier set. We return published rates with surcharges extracted as line items and source references within 48 hours.

Free pilot, no card, no obligation. We'll be clear about where published rates differ from contracted reality.
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Why Global Leaders Trust Actowiz

Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.

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Years of Experience
Proven track record delivering enterprise-grade web scraping and data intelligence solutions.
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Running weekly across eCommerce, Quick Commerce, Travel, Real Estate, and Food industries.
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Real-time and batch data scraping at massive scale, across industries globally.
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AI Solutions Engineered
for Your Needs

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GPT-Based Analytics Layer: Natural language query-based reporting and visualization for business intelligence.
Human-in-the-Loop AI: Continuous feedback loop to improve AI model accuracy over time.
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Blog

EU AI Act for Data Teams: What Scrapers Must Change in 2026

The EU AI Act impact on web scraping & AI training data GPAI transparency, copyright reservations, prohibited practices & a compliance checklist from Actowiz.

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Case Study

B2B Supplier Automates Government Tender Discovery from GeM & eProcure

How a B2B supplier replaced manual tender-portal checking with an automated, filtered feed of relevant government tenders from GeM and CPP/eProcure never missing a bid deadline again.

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Report

FIFA World Cup 2026 Aftermath: Hotel & Airfare Normalization in Host Cities (Data Study)

Actowiz Solutions tracks post–World Cup 2026 travel pricing — hotel ADR & airfare normalization across host cities, event-premium decay data & lessons for travel teams.

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