PrintIndustry.com — Printing Industry Jobs & Company Listings

PrintIndustry.com is the Lake Mary, Florida site run by Printing Industry Exchange, LLC, self-described as "connecting print buyers with printing companies since 1997." Its substance sits in three surfaces. The bid network lets buyers submit quote requests that qualified printers answer with estimates - a quarter-century-old marketplace for print work. The employment classifieds, titled "Printing Jobs (Employment): Wanted & Needed," take print-job and resume ads at no charge, each stated to stay listed for two months. And the category catalog enumerates roughly 150-plus print types, from business cards and brochures through books, catalogs, labels, magazines, posters, signage, apparel, vehicle wraps and packaging, each mapping to its own page.

Inside a catalog of 1,744 datasets across 159 viable industries, this record scores 4/10 - low, and honestly so, because at the August 2026 verification pass the classifieds index and employment pages rendered navigation, promotional banners and the ad-submission form itself, with zero live listings observable on any fetched page. What Datadory adds is the resolution work: turning those surfaces into typed, deliverable rows whose field definitions are verified against the forms themselves. See where it sits in the commercial printing data hub, then get a sample of this dataset.

Illustrative rows in the delivered shape - one record family per row:

# one row per record - classifieds ad, buyer-demand signal or category observation

type_of_ad   : Print Job/Employment    title    : <job title>
company_name : <printer or employer>   city     : <city>
description  : free-text body (150-word form limit)
contact_name : <named person>

record_family : buyer-demand           category : <one of ~150 print-service types>
geo          : <US state | CA province> period   : observed month

record_family : category-observation   category : vehicle wraps
status       : defined | active

Read the anatomy rather than the placeholders. Every classifieds row carries the six fields the submission form itself demands, so nothing is inferred about who posted it or where. The category spine keys everything else: the same ~150-type taxonomy that organizes the site's buy-printing pages also tags buyer-demand rows, which means a sales territory map and a demand-category count join without reconciliation work. And because ads roll off after two months, the temporal dimension matters more than raw depth - a row's observed month tells you whether you caught it inside its live window. Live values for the categories, geographies and families you name travel with the sample; the structure traces to the August 2026 verification pass against the publisher's own materials.

Six verified fields define every classifieds row, taken straight from the employment-ad submission form: classification (Type of Ad, observed value "Print Job/Employment"), the free-text Description capped at 150 words per the form's own instructions, who to reach (Contact Name), the role (Title), the employer (Company Name) and placement (City, drawn from a US/Canada state-province dropdown plus country list). These carry a verified confidence flag in our catalog - they were checked against the form itself, not inferred from rendered pages, which is unusual for this slice of the catalog and worth knowing when you plan joins.

Beyond the classifieds form, the category layer contributes its own attributes: service type, page mapping and activity status across the ~150 print-service types, plus the geographic keys shared with buyer-demand signals. Deeper attributes fold under additional fields on request - any element observable on the category pages can be folded into the extract once scope is agreed.

• Geography: United States and Canada throughout. Both selectors on the submission forms - the state/province dropdown and the country list - define the addressable universe, so a Toronto pressroom ad and a Texas buyer request resolve under the same geography scheme.
• Temporal: a rolling two-month window. Ads are stated to stay listed for two months before rolling off, so the corpus behaves as a live surface rather than an archive; sustained reads need recurring collection, which is precisely the cadence argument for a feed over a one-time pull.
• Granularity: individual job/resume ads on the classifieds side and individual print-service category pages on the catalog side - one row per ad, one row per category, no aggregation layers in between.
• Scale: not assessable from outside, stated plainly. No live listings were visible at fetch time while the category side defines roughly 150 types; the honest move is to confirm current volume against your sample rather than quote a number nobody can stand behind.

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

Cadence is your call regardless of how slowly the upstream surface turns over: classifieds roll off after two months and category pages change when the trade changes, but your feed lands on whatever schedule your alerts and models expect. Name the record families, service categories and geographies when you request the sample - classifieds rows for one province, a demand-category read across the full US-and-Canada footprint, or the whole ~150-type taxonomy as a reference table - and it ships cut to that universe. The sample comes first either way; the recurring feed follows the same shape. Get a sample of this dataset.

• Printer prospecting - the bid network's demand side names who buys print and in which service lines; the lead pattern runs through our sales growth teams playbook.
• Hiring-signal tracking - classifieds rows act as a thin but real employment feed for the print sector, with the two-month roll-off built into the interpretation; see the competitive intel product teams use cases.
• Demand-category mapping - the ~150 print-service types give a ready-made frame for sizing buyer interest by service line across the US and Canada, the standard first step in market sizing.
• Taxonomy engineering - a curated vocabulary of what commercial printers actually sell, usable as-is for classifying customer or prospect lists; the usual home for this is data scientists use cases.
• Sector context - pair the demand-side signals with counted baselines from US Census Bureau Economic Census, ASM & County Business Patterns (NAICS 3231) to put listings against establishments and payroll.

Ranked by fit in Datadory's tagging for this slice: sales and growth teams (relevance 2) get the strongest fit here - sourcing printer leads via the paid membership side of the bid network and reading buyer-demand categories by geography; see sales growth teams use cases. Data scientists and ML engineers (relevance 1) mine the 150-plus category catalog for taxonomy and classification work (data scientists use cases). Market researchers and consultants (relevance 1) sample buyer-demand categories across the US and Canada as a demand-side complement to counted statistics (market researchers use cases). Competitive-intelligence and product teams (relevance 1) watch the classifieds as a hiring-signal feed, keeping the two-month roll-off in mind (competitive intel product teams use cases). Investors, developers, e-commerce operators and journalists tag at relevance 0 for this record - the corpus is too thin and demand-shaped to serve them well, and we would rather route them elsewhere than oversell it.

Methodology note - know what this record is: a demand-side marketplace and classifieds surface resolved into rows, not a statistical census or a complete job board. Field definitions carry a verified flag because they trace to the submission form itself; listing counts do not, because no listings were observable at the August 2026 pass.

Completeness note - two items were left open at verification and are settled at sampling rather than papered over here: current listing volume (possibly nil on any given day) and whether member-only views expose a searchable printer directory beyond what renders publicly. Your sample confirms both before anything downstream depends on them.

Where to go next - pair the demand-side signals with counted baselines and sector sentiment: Statistics Canada — Manufacturing Data by NAICS 3231 for the Canadian establishment side that matches this record's coverage footprint, US BLS Public Data API — PPI, CES & OES for Printing for prices and employment, and WhatTheyThink — Printing Industry News, Pricing & Activity Index for activity sentiment. The ranked slate sits on best commercial printing datasets.