Export bulk US CBP manifest data for import volume analysis, competitive intelligence, and trade flow modeling.
Supply chain analysts need real data — not survey-based estimates or model-generated projections. US CBP manifest records are actual shipment transactions: 10M+ ocean manifest entries documenting the commodities, volumes, origins, ports, and carriers of US imports. ShipManifestPro makes this data searchable and exportable for the quantitative analysis that drives supply chain strategy.
Market reports with model-based estimates, not real transaction data
Query actual manifest records — real shipments, real volumes, real origins — not survey-based or model-estimated trade data
Competitive analysis with no data on competitor supply chain volumes
Search competitor consignee names to see actual import volumes, commodity mixes, and origin country trends
No ability to quantify China+1 or nearshoring trends in real time
Filter imports by commodity and origin country over time — see whether Vietnam, Mexico, or India sourcing is actually growing for your category
Forecasting without historical seasonality data by commodity
Pull 3-5 years of monthly import volume by commodity and port to build seasonality models from actual shipment records
Trade flow models built on aggregated statistics, not individual transactions
Export individual manifest records for bottom-up trade flow modeling at the transaction level
Analyze manifest data to quantify the actual shift in US sourcing patterns for specific commodity categories. Compare year-over-year import volumes from China vs. Vietnam, India, Mexico, and other alternative origins.
Real example
An analyst building a supply chain strategy presentation searches electronics imports by origin country from 2021-2025. The data shows Chinese electronics imports down 18%, Vietnamese electronics imports up 340%, and Indian electronics imports up 89% over 4 years — granular evidence for the nearshoring presentation.
Pull monthly import volumes for specific commodities and ports to build seasonality models. Identify when import peaks occur, which ports receive seasonal surges, and how seasonal patterns vary by origin country.
Real example
An analyst building a port congestion model pulls monthly import volumes for retail goods through LA/Long Beach from 2019-2025. The seasonal pattern analysis identifies that Q3 peaks have grown 35% since 2021, confirming the hypothesis that peak season starts earlier each year.
Compare your company's import volume against 5-10 competitors to benchmark market position. Identify which competitors are growing imports fastest and what product categories are driving their growth.
Real example
An analyst benchmarks 8 furniture retailers by annual import volume using manifest data. The analysis reveals that the top 3 fastest-growing retailers all significantly increased Vietnam sourcing in 2023-2024, while the market leaders' China imports declined. The finding drives a sourcing diversification recommendation.
| Search Query |
|---|
commodity: "solar panels" origin: China monthly 2021-2025 |
"automotive parts" Mexico USA quarterly 2023-2025 |
port: Los Angeles commodity: electronics 2024 |
"medical equipment" Germany India comparison 2023-2025 |
Specify commodity category, geographic scope (origin countries, US ports), and time range. ShipManifestPro returns individual manifest records matching your parameters.
Review the returned records for relevance. Apply filters for weight range, port of entry, and shipper characteristics to clean the dataset.
Export the filtered manifest dataset to CSV. Pro plan includes unlimited bulk export — download thousands of records for external analysis in Excel, Python, or Tableau.
Import the CSV to your preferred analytics tool. Aggregate by origin country, time period, port, or importer to build trade flow visualizations and trend analyses.
Set up recurring exports to refresh your analysis with new data monthly or quarterly. Track how trends evolve over time with consistent methodology.
Manifest data is actual shipment records — not survey-based estimates, model-generated projections, or aggregated statistics that obscure trends
Competitor import benchmarking from manifest data takes hours, not weeks of commissioned market research
Monthly commodity-level import data by origin country detects supply chain shifts 6-12 months before they appear in published industry reports
ShipManifestPro Pro plan provides similar data to Panjiva and ImportGenius at a fraction of the cost — important for smaller teams and startups
We built our entire China+1 supply chain strategy presentation from ShipManifestPro data. Actual transaction records beat model estimates every time when you're trying to convince a CFO.
Yes — the ShipManifestPro Pro plan includes bulk CSV export with no row limits. You can export thousands of manifest records filtered by commodity, origin, port, and date range. The export format is CSV-compatible with Excel, Python, Tableau, and most analytics platforms.
ShipManifestPro accesses the same underlying CBP public manifest data as Panjiva and ImportGenius. The key differences are price (ShipManifestPro is significantly lower cost) and feature focus (ShipManifestPro optimizes for freight brokers and trade analysts; Panjiva/ImportGenius have more enterprise-oriented features). For bulk data analysis at lower cost, ShipManifestPro is the better choice.
ShipManifestPro includes 10+ years of historical manifest data. You can analyze trends from 2014 to present — covering pre-tariff, trade-war, COVID, and post-COVID periods. This historical depth is essential for seasonality modeling and long-term trend analysis.
Yes — manifest data includes individual shipment records with date, commodity description, quantity, weight, shipper, consignee, port, and vessel. Individual records are the building blocks for aggregated analysis. Depending on your commodity category, you may have thousands to hundreds of thousands of records per year for statistical modeling.
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