PaperIndex Paper Industry Directory

It is the supplier side of the global paper chain, kept as structured company records instead of a trade-show badge pile. PaperIndex operates out of Bangalore as a non-transactional B2B marketplace - buyers and suppliers connect directly, and the platform states plainly that it brokers nothing, buys nothing and sells nothing. The directory around that marketplace carries the analytical weight: roughly 7,125 suppliers organised across 8,456 categories, with 52,746 buyers cited from 188 countries.

Listings split along two axes. Supplier-side categories run from paper manufacturers through suppliers and exporters, waste paper suppliers, paper products suppliers, machinery suppliers, market pulp, wood chips and pulpwood suppliers, paper chemicals suppliers and paper converters. Product-side categories cover paper and paperboard, waste paper, machinery and equipment supplies, paper chemicals and finished paper products, with subcategories drilled to kraft paper, duplex board, FBB, SBS, OCC and ONP waste grades, paper bags and tissue - the grade vocabulary the trade actually uses, not a marketing taxonomy.

Each listing resolves to a public company profile carrying eleven field groups: identity, location, membership tier, founding year, legal structure, supply-chain role, overview text, products, revenue band, named contact and postal address. The August 2026 research pass resolved just over 6,600 individual company profiles and captured one end to end, reproduced below. Get a sample of this dataset cut to the categories and geographies you sell into, or read the rows first.

As one typed record per listed company - identity, geography, tenure, role, catalogue and contact in a single row:

# PaperIndex paper industry directory - one record per listed company
# Structure below follows the public profile layout; the full overview text
# rides along in your sample, cut to whichever categories, grades and
# geographies you name in the request.

columns: company_name | city | state | country | membership_tier |
         founded_in | company_type | business_type | products |
         annual_sales_band | contact_name | contact_title |
         member_since | address_line | postal_code

row: company_name="Eco Pulp Products India Ltd."
     location=HOSUR, TAMIL NADU, INDIA       member_since=Nov 2006
     founded_in=2003    company_type=Private Limited
     membership_tier=Basic Member          business_type=Manufacturer
     products=Egg Tray, Mobile Packaging, Spacer,
              Molded Pulp Ball, Paper Pulp Container
     annual_sales_band=< 1 million US dollars
     contact=Ravindran Durairaj, Chief Executive Officer
     address=C-4 Sidco Indl Estate, Hosur, 635126, Tamil Nadu

# one such row per listed company across the supplier universe:
#   paper manufacturers / suppliers & exporters / waste paper dealers /
#   paper products suppliers / machinery vendors / market pulp, wood
#   chips & pulpwood sellers / paper chemicals suppliers / converters

The block above publishes a captured profile in full because we show structure before we make claims. Read what one row already proves: a moulded-pulp packaging manufacturer in Tamil Nadu, founded 2003, privately held, sub-$1M revenue band, with a named chief executive and a street address - qualified or disqualified on the spot, no enrichment vendor required. Every further record arrives in the same shape, cut to whichever supplier categories, grades and geographies you name in the request.

Eleven field groups define every company record, each written against live profile structure rather than reconstructed from column labels.

Four structural facts matter before you model it. First, identity stacks: company name, location block and membership tier together separate same-name firms in different cities. Second, role is explicit: Business Type distinguishes manufacturer from trader, exporter, converter and machinery vendor, so a supplier map built on it never mistakes a reseller for a mill. Third, size is banded, not faked: Annual Sales arrives as the member's own revenue band - coarse, comparable and honest about being self-reported. Fourth, the contact is a person: name and title, carried with the member-since date, which is what turns a company row into a call sheet.

Verified against live profiles, not guessed from headers. Every field group above was confirmed against actual company profile structure during the August 2026 research pass, with one complete captured profile as evidence.

Geography - global supplier listings with buyers cited from 188 countries, though supplier gravity sits firmly in India and wider Asia; the captured profile is a Tamil Nadu moulded-pulp plant and that weighting is typical rather than incidental. Street-level addresses ride on every record, so radius screens around a port, an industrial cluster or a customer's distribution centre run off the same rows as country counts.

Temporal - a continuously maintained directory, with member-since dates running back to November 2006. Platform tenure is therefore a measurable field rather than a guess: a supplier registered for two decades is a different counterparty proposition than one registered last quarter, and both sit in the same schema.

Granularity - one record per listed company profile, with the full supplier-category and product-grade taxonomy attached rather than flattened into free-text tags. Grade-level questions - who trades OCC, who makes FBB - resolve by joining the taxonomy, not by pattern-matching overview prose.

API, files, or your warehouse. Daily, weekly, or hourly.

Pick the channel your stack already speaks. The rows arrive identical either way - cleaned, typed and documented against the field dictionary above, with company names, postal addresses and member-since dates preserved so your joins survive from one pull to the next.

Every delivery ships with the full field dictionary and the captured sample rows for validation. Name the supplier categories, grades and geographies you care about and the sample comes back scoped to the slice you will actually work.

• Sales and growth teams build call sheets with named decision-makers, prioritise accounts by revenue band and plan routes off street addresses - a directory row is a prospect before it is a datapoint.
• Sourcing and procurement teams map second sources per grade per region, counting who supplies kraft board or OCC in a given radius and whether they manufacture or merely resell.
• Equipment, chemicals and consumables vendors plan territories off the same rows: which plants exist, how big they claim to be, and who holds the buying title.
• Recycling and circularity analysts map ONP and OCC dealer geography as the collection network beneath recovered-fibre models.
• Market researchers size regional supply bases per category per country from one consistent schema instead of stitched local lists.
• Data teams resolve directory companies against CRM and company-master records, using the address block and member-since date to split same-name firms.

Get a sample of this dataset scoped to the use case - the slice for a sourcing map looks nothing like the slice for a call sheet.

Sales and growth teams get the most direct value - named contacts with titles, revenue-band prioritisation and street addresses are the raw material of territory work, and no other paper-products record in the catalog carries them. Sourcing teams come second: second-source mapping needs exactly the grade-and-geography-plus-role combination this directory holds, with company age and tenure as a first risk screen.

Market researchers and consultants use it for supply-base sizing where official statistics stop - official series count tonnage, not counterparties. Competitive intelligence teams read the merchant and converter landscape a rival sells into. Data scientists get a genuinely awkward and therefore instructive entity-resolution problem, and investors read manufacturer-versus-trader mix per region as a concentration signal for packaging exposures.

Three things, stated upfront.

First, respect the provenance. Directory facts are self-reported by members - revenue bands, founding years, product lists. That is a feature for coverage breadth and comparability, but a revenue band is a screening signal, not an audited financial, and a step-change in a profile deserves a question rather than blind ingestion.

Second, know your taxonomy level. Supplier categories answer who plays in this segment while product subcategories answer who touches this exact grade. A pull scoped to "paper manufacturers" and a pull scoped to "FBB" return overlapping but materially different universes - say which one your question needs and the sample arrives cut correctly.

Third, scope the geography deliberately. Supplier density concentrates in India and wider Asia while buyer registration spans 188 countries; if your question needs European or North American supplier depth, name that expectation in the request and we will tell you honestly what resolves before you commit.

The paper-products shelf answers adjacent questions, and this record is the commercial surface among them. The EPA Envirofacts facility database registers which US mills exist and who owns them - a regulatory spine. The Toxics Release Inventory paper manufacturing sector adds facility-by-chemical release reporting for those mills back to 1987. EIA's Manufacturing Energy Consumption Survey paper cut prices the energy going into the sector, and UN Comtrade tracks pulp and paper crossing borders.

This directory is the only one of the five that knows a supplier's name, revenue band and chief executive. Pair them and a single company reads from four directions: who they are commercially, what they report releasing, what energy they consume, and what they ship.