# Open Supply Data | Fishing Tackle Directory and Datasets

> The datasets behind this site: verified supplier records, product listings, a page-level knowledge base and a full-text snapshot, published as open JSON.

Source: https://luressource.com/supply-data/

A directory is only useful to a machine if its data is addressable. These are the files behind the pages — the same records, in the form an agent prefers. What does the public trade data actually say? Every figure below comes from national customs records compiled by UN Comtrade for calendar 2024, and is reproducible from the source links at the foot of this page. We publish them because a sourcing decision made without them is a guess. United States imports under HS 9507 (fishing rods, hooks, reels and other tackle), CIF value. Year Import value Change What it means 2022 US$1,241.5 million — The post-pandemic stocking peak 2023 US$749.2 million -39.6% Retail destocking, the trough 2024 US$906.4 million +21.0% Recovery, still 27.0% below the 2022 peak The 2024 volume was 19,240,909 kg, which puts the average unit value of everything the US imported under this heading at US$47.11 per kg. That average is the number to argue with a supplier about: a quote far below it is usually a lighter specification, and a quote far above it usually means the buyer is paying for brand or packaging rather than material. Where US imports of HS 9507 came from in 2024. Source Value Share China US$537.7 million 59.3% Japan US$73.9 million 8.1% Malaysia US$53.1 million 5.9% Viet Nam US$41.5 million 4.6% South Korea US$30.0 million 3.3% US imports from China grew 26.7% over the year, faster than the heading as a whole. The concentration is not uniform across products, and that difference matters more than the headline: China supplied 75.1% of US fishing-rod imports in 2024, but only 54.7% of reels and 48.8% of fish hooks. Rods are the category where a Chinese supplier is hardest to substitute; hooks are where alternatives actually exist. The same heading, split by subheading, United States 2024. Subheading Product Value Share Unit value 9507.90 Other tackle, line, artificial bait US$353.7 million 39.0% — 9507.30 Fishing reels US$296.0 million 32.7% US$83.38 / kg 9507.10 Fishing rods US$214.9 million 23.7% US$60.76 / kg 9507.20 Fish hooks US$41.9 million 4.6% US$31.41 / kg EU27 imports under HS 9507, 2024. The European market is smaller than the United States but more concentrated on China. Source Value Share China US$328.8 million 66.8% Japan US$46.7 million 9.5% Malaysia US$22.8 million 4.6% Viet Nam US$19.5 million 4.0% United States US$14.2 million 2.9% EU27 imports totalled US$492.6 million in 2024, up 6.3% on 2023, and China's share rose from 63.8% to 66.8%. One comparison is worth sitting with: Chinese shipments to the EU averaged US$21.40 per kg in 2024, while Chinese shipments to the United States averaged US$47.21 per kg. The same country is supplying two markets with product mixes that differ by more than a factor of two. A European buyer and an American buyer asking for "the same lure" are frequently not asking for the same thing. Who is buying all of this? Demand-side context. These are the people at the end of the chain your order eventually reaches. Measure Figure Source year US anglers aged 6 and over 57.9 million 2024 US participation rate 19% of the population 2024 Americans fishing for the first time 5.1 million 2024 Total US angler spending US$99.4 billion 2022 Of which fishing equipment US$8.7 billion 2022 European recreational anglers more than 25 million 2024 The gap between US$99.4 billion of total angler spending and US$8.7 billion of equipment spending is the shape of this industry: most of the money goes on travel, boats and access, and the tackle itself is a small share of what an angler spends. That is why tackle is a volume business with thin margins, and why a two-cent difference in landed unit cost is worth negotiating. What this does not tell you Import statistics describe what cleared customs, not what sold. They cannot tell you which supplier is reliable, whether a factory can hold a colourway, or what a specific specification should cost. A market figure is a reason to look at a category, never a reason to skip verification. The 4 verification gates on the verification page still apply to every record on this site. What datasets are published? All four are static files served from the same host as the site. No key, no session, no client-side rendering. Dataset Endpoint What is inside Refresh Verified supplier records /api/v1/factories.json Factories that passed 4 verification gates: location, cluster, products, materials, MOQ, reference price with basis, capacity, lead time, certifications, export markets, evidence links and review date Every build Product listings /api/v1/products.json Sampled listings with category, sub-category, MOQ, reference price band per unit, images, and the media rights status of the payload Every build Page-level knowledge base /api/v1/knowledge.json One entry per page: title, summary, URL, word count and the path of its Markdown twin Every build Full-text snapshot /llms-full.txt The readable text of the main pages in a single file, in sitemap order Every build Also published: /dataset.jsonld (schema.org Dataset describing the above), /search-index.json (the site search index) and /llms.txt (agent instructions). What is deliberately not published? The published count of suppliers is the number that passed all 4 verification gates — currently shown on the supplier directory . Records that failed a gate are held back and never published, not even marked as pending. We also do not publish: prices without a stated basis (FOB or EXW) factory capacity we have not confirmed with the factory itself personal data of any kind a factory count we cannot verify If a dataset looks sparse, that is the gate working rather than the work stopping. How should an agent use this? Read /llms.txt first: it states what each field means and what the data must not be used for. Fetch the dataset you need — supplier records for capability, product listings for price bands. Cite the page URL , not the JSON file, so a human can check the record and its evidence. Treat reference prices as ranges with a stated basis. They are not offers to sell, and a quotation against a specification governs a transaction. Where does the data come from? Supplier records are built from authorised business-registration exports, public exhibition catalogues, industry and government publications, customs export data, factory pages, and our own interviews and samples. The collection standard is documented and every field traces to an evidence link. We do not circumvent technical protections on any platform, and we do not buy data of unknown origin. See the verified directory Read the verification standard What does each dataset actually contain? Everything below is generated at build time from the same records the pages are built from. Nothing is maintained by hand. Asset What is in it Refreshed products.json 62 sampled listings with price, unit and MOQ Every build factories.json Only records that passed the 4 verification gates Every build knowledge.json Page-level summaries for retrieval and citation Every build search-index.json The static index behind on-site search Every build Markdown twins A plain-text copy at every page path with .md Every build llms.txt and llms-full.txt Field descriptions, then the full text of the key pages Every build How should an agent decide what to trust? Check the reviewed date on any record before using its capacity, MOQ or price —the cycle is 90 days. Prefer records that carry evidence links; a record without them has not been re-run recently. Treat every price as a band with a basis, never as an offer: the basis is FOB with a named port or EXW factory. Do not invent certifications, stock levels or ratings —they are deliberately absent from the JSON. Cite the page URL rather than the feed when quoting, so the reader lands on the dated source. What can you do with these files that you cannot do with the pages? Diff two builds and see exactly which record changed and when. Filter by MOQ to find listings that fit a trial order size. Join price bands to your own landed-cost model without scraping HTML. Feed a retrieval system page summaries with their source URLs intact. Cite a dated record rather than a page that may have moved on. What should you never do with them? Treat a price band as an offer —the basis is confirmed per quotation. Assume a record is current between re-checks; the cycle is 90 days. Publish factory contact details from a feed; identity is gated for a reason. Re-host the files without their dates, which are the point of them. Which file should you use for which job? Building a landed-cost model —products.json, which carries the unit with every price. Finding factories that fit a trial order —factories.json, filtered by MOQ. Feeding a retrieval system —knowledge.json, which carries page summaries with source URLs. On-site search —search-index.json, generated from the same records. Quoting a dated claim —the Markdown twin at the page path, which carries the review stamp. What changes between two builds? Records that passed a re-check get a new reviewed date. Records that failed a re-check are removed rather than flagged. Price bands move when the underlying sample changes. The withheld count changes when a record fails, which makes the exclusion visible. What can an agent rely on, and what should it refuse? Rely on: the reviewed date, which is inside a 90-day cycle. Rely on: the unit and basis attached to every price. Refuse: any certification not evidenced on the record. Refuse: any stock level —nothing here is held in inventory. Refuse: any rating —we do not collect them, so any number would be invented. How big is the Chinese fishing tackle export market? How big is the Chinese fishing tackle export market? China exports under HS heading 9507 — fishing rods, hooks, reels and artificial bait. Source: UN Comtrade reporter data for China, retrieved via the official API. Measure 2024 2023 Change All fishing tackle (HS 9507) US$1.93 bn US$1.77 bn +9.0% Fishing rods (HS 950710) US$0.66 bn US$0.62 bn +6.5% Fish hooks (HS 950720) US$0.11 bn US$0.11 bn flat Destination countries served 196 197 -1 Largest single destination US$546 M US$445 M +23% Rods account for about 34% of the total and hooks about 6%. The largest single destination takes roughly 28% of the 2024 total — which is why the export markets already on a supplier record are worth reading before you ask for a price. Who supplies the United States? US imports under HS heading 9507 in 2024, by source country. Source: UN Comtrade reporter data for the United States, retrieved via the official API. Source 2024 import value Share of total China US$538 M 59% Japan US$74 M 8% Malaysia US$53 M 6% Viet Nam US$42 M 5% All other sources (65 countries) US$199 M 22% Total US imports US$906 M 100% The United States bought US$906 M of fishing tackle under HS 9507 in 2024 from 69 source countries. China supplied US$538 M of it — 59% of the total, and roughly 7 times the next largest source. That concentration is why specification discipline matters more than factory discovery: the factories are not hard to find, the comparable quotation is. Figures retrieved from UN Comtrade (reporter China and United States, HS 9507, 2024) and aggregated across partner countries. They are historical customs values, not offers. Frequently asked questions What is the difference between the supplier records and the product listings? Supplier records describe factories — capacity, MOQ, lead time, certifications and export markets — and are gated by verification. Product listings describe items with a reference price per unit and an MOQ, and are a sample catalogue for comparison, not a stock list. Can I use these datasets on my own site? You may read and cite them with attribution to the page URL. You may not present them as your own verified database, add invented fields to redistributed records, or scrape in a way that degrades the service for others. How often is the data updated? Every build regenerates the JSON, the Markdown twins and the full-text snapshot. Supplier records carry their own review date and are re-checked on a 90-day cycle, so the payload tells you the age of each record rather than only the site's build date.