01
Price monitoring
Track competitor pricing at the store level and refresh it on a daily cadence. Never get blindsided by a flash sale or stockout-driven repricing again.
- Store-level
- Daily refresh
- Historical archive
00Web data infrastructure
Web data, extracted and delivered on schedule.
Veinwork provides managed web scraping and data extraction across retail, travel, real estate, finance, jobs, and any industry that runs on data — including training corpora for AI teams. Explore delivered Home Depot and Lowe’s observations in your client workspace. Additional public sources, dataset preparation, and permitted uses are assessed for each project.
Retail monitoring at $0.99 per product / retailer / month. No minimum monthly spend. Includes one agreed location and daily updates. See scope and volume discounts.
Trusted by teams atAI & model teams·e-commerce ops·pricing intelligence·market research·brand protection
sample feed · veinwork.cloud
SAMPLE
codeendpointsizelatency
200GET airbnb.com/listing/96309022928b189ms
200GET homedepot.com/pd/PRD-73269673596b191ms
200GET lowes.com/sku-99396991221b216ms
200GET homedepot.com/listing/24690971806b117ms
200GET lowes.com/pd/PRD-59151622348b186ms
200GET amazon.com/sku-52778934349b58ms
200GET target.com/listing/35572914808b26ms
200GET homedepot.com/sku-3753356726b163ms
200GET target.com/listing/88660872601b102ms
200GET airbnb.com/rooms/38954862935b137ms
200GET homedepot.com/listing/98415503228b121ms
200GET homedepot.com/rooms/2704282479b128ms
200GET target.com/dp/3483680688b230ms
200GET target.com/rooms/6179745855b61ms
200GET lowes.com/ip/47924762481b135ms
200GET airbnb.com/pd/PRD-23218752565b85ms
200GET amazon.com/p/17679392608b203ms
200GET lowes.com/sku-61306714109b124ms
200GET walmart.com/product/94100694068b141ms
200GET lowes.com/product/56061343985b106ms
200GET airbnb.com/listing/96309022928b189ms
200GET homedepot.com/pd/PRD-73269673596b191ms
200GET lowes.com/sku-99396991221b216ms
200GET homedepot.com/listing/24690971806b117ms
200GET lowes.com/pd/PRD-59151622348b186ms
200GET amazon.com/sku-52778934349b58ms
200GET target.com/listing/35572914808b26ms
200GET homedepot.com/sku-3753356726b163ms
200GET target.com/listing/88660872601b102ms
200GET airbnb.com/rooms/38954862935b137ms
200GET homedepot.com/listing/98415503228b121ms
200GET homedepot.com/rooms/2704282479b128ms
200GET target.com/dp/3483680688b230ms
200GET target.com/rooms/6179745855b61ms
200GET lowes.com/ip/47924762481b135ms
200GET airbnb.com/pd/PRD-23218752565b85ms
200GET amazon.com/p/17679392608b203ms
200GET lowes.com/sku-61306714109b124ms
200GET walmart.com/product/94100694068b141ms
200GET lowes.com/product/56061343985b106ms
Sample feed — illustrativenot live data
Amazonlive
Walmartlive
Targetlive
The Home Depotlive
Lowe’slive
Airbnblive
Wayfairon request
Best Buyon request
Costcoon request
Menardson request
01What we deliver
Four extraction patterns. Endless applications.
Most data needs fall into a handful of shapes — a repricing feed, a catalogue, a training corpus. We've built production-grade infrastructure for each, so you don't have to.
02
Product catalogs
Full product detail pages — titles, attributes, specs, variants, descriptions, structured tables — normalized into a clean schema.
- Variant graphs
- Attribute schema
- Spec normalization
03
Inventory & availability
Store-level availability — map exactly which stores stock which products, tracked over time.
- Store-level
- Stock status
- Availability history
04
Reviews & ratings
Pull reviews with their metadata and ratings, structured and ready for sentiment and topic analysis — so you can surface the patterns you actually need to act on.
- Topic-ready
- Ratings capture
- Review history
StoreStore-level price, stock & reviews
DailyRefresh cadence you schedule
SourceAvailable observation metadata
3Portal exports: CSV, JSON and Parquet
$Retail monitoring subscriptions
Clear scope.
Clear monthly pricing.
Daily price and availability monitoring for supported Home Depot and Lowe’s listings. Start with a sample; we confirm source coverage, locations, and the best applicable plan before you order.
Flexible coverage
Build your plan
$0.99
per product / retailer / month
No minimum monthly spend
Choose the listings you need. Your monthly fee is $0.99 × your agreed tracked-listing count. Start with one listing and expand your coverage when needed.
Request a sampleVolume pricing
Growth
$599
per month
Up to 1,000 tracked listings
A fixed monthly package for a larger product list, with the same daily schedule, dashboard, and standard exports.
Request a sampleBroader coverage
Business
$999
per month
Up to 2,500 tracked listings
A fixed monthly package for wider retail coverage. Agree the products, retailers, and locations before delivery begins.
Request a sampleIncluded with every plan
- One scheduled update per day
- Product identifiers, price, and availability
- Client dashboard and collected history
- CSV, JSON, and Parquet downloads
- Routine data checks and email support
- Monthly invoicing with agreed coverage
What counts as a tracked listing?
One selected product or variant, at one retailer, in one agreed store or pricing location. Additional retailers and locations count separately. Daily updates are included in the monthly fee.
Start small: 10 products at two retailers, with one location per retailer, means 20 tracked listings at $19.80/month.
For example, 250 products at two retailers, with one location per retailer, means 500 tracked listings: $495/month. For 500 products across the same coverage, the 1,000 listings fit the $599/month Growth plan.
Need a different dataset?
New-source development, extensive product matching, additional daily updates, custom fields, and AI training preparation are quoted separately. Contact us for larger volumes or a custom delivery specification.
Discuss your dataset →All prices are USD, before applicable taxes. Scope, availability, renewal terms, and any changes to coverage are confirmed in your order. We agree additional charges before work begins. See our Terms of Service and data collection policy.
{ }AI training data
Training data that can prove where it came from.
Structured datasets for AI training, fine-tuning and evaluation, collected to an agreed specification and delivered by our team. Explore retail observations in your dashboard before downloading the records for your own training pipeline.
Inspect source URLs, observation dates and import batches alongside the data. Custom preparation and source suitability are agreed per project; unknown permissions remain marked as unknown.
Sources to discuss
- AmazonMarketplace
- WalmartRetail
- TargetRetail
- The Home DepotHome & trade
- Lowe’sHome & trade
- AirbnbTravel
Anything else — property portals, job boards, news, classifieds — we build as a custom extractor on request.
provenance envelope · one record
illustrative sample
- source_url
- https://www.lowes.com/pd/example/123456789
- The source URL supplied with the product.
- observed_at
- 2026-08-21T12:00:00Z
- The supplied observation date, represented at noon UTC for date-only uploads.
- robots_txt_state
- unverified
- Manual uploads do not verify source permissions or robots.txt.
- tdm_opt_out
- null
- Unknown unless verified separately. A missing signal does not establish permission.
- source_run_id
- manualcsv_illustrative-batch
- An import batch identifier for tracing delivered records.
- ingested_at
- 2026-08-22T08:30:00Z
- When the record was added to the client portal.
Delivered asCSV / JSON / Parquet
Four ways a corpus ships
01
Custom datasets
Agree the sources, fields, volume and intended training task, then review a sample before full delivery.
02
Retail training data
Explore delivered product, price and availability observations for forecasting, fine-tuning and model evaluation.
03
Source metadata
Trace records through source URLs, observation dates and import batches. Unknown rights signals remain explicit.
04
Project preparation
Scope deduplication, labelling, quality checks and evaluation splits around the needs of your model.
02How it works
From scope to first delivery in under two weeks.
01
Scope it
Tell us the source, fields, and cadence. We send a sample within 48 hours — free, no commitment.
02
We build it
Our collectors run with retries, validation, and schema enforcement. Outputs land in your warehouse, S3, or via API.
03
We keep it alive
Sites change. We monitor every selector and fix breakage fast — usually before you notice. Uptime is our problem, not yours.
✦Who uses Veinwork
Web data for the teams making decisions.
AI & model builders
Structured datasets for AI training, fine-tuning and evaluation, with source metadata and preparation scoped to your project.
Pricing teams
Track competitor moves day over day and build dynamic repricing models on data you can actually trust.
Brand protection
Detect MAP violations, counterfeits, and unauthorized resellers across thousands of listings, daily.
Market researchers
Build datasets for vertical analysis — assortment, share-of-shelf, category trends, regional pricing variance.
Procurement
Track availability and lead times across distributors. Negotiate from a position of better information.
Real-estate intel
Airbnb supply, ADR, occupancy, and amenity data — at the city, ZIP, or property level.
?Common questions
Questions, before you hit send.
How much does retail monitoring cost?
Flexible monitoring is $0.99 per tracked listing per month, with no minimum monthly spend. Start with one listing. Growth is $599/month for up to 1,000 listings; Business is $999/month for up to 2,500. Prices are USD before applicable taxes. We confirm the best applicable plan and source coverage before you order.
What counts as a tracked listing?
One selected product or variant at one retailer and one agreed store or pricing location. Additional retailers and locations count separately. One scheduled daily update is included; each daily observation does not add another listing to your monthly count.
Do you collect only publicly available data?
Yes. Our web collection is limited to publicly available sources. Our policy requires source and usage-rights review; we do not collect from private accounts, signed-in areas, or paywalls, or bypass access controls. Public availability alone does not grant redistribution or AI training rights. See our Responsible data collection policy for the full scope.
Which industries and sites do you cover?
The client portal supports delivered Lowe’s and Home Depot retail observations. Amazon, Walmart, Target, Airbnb, and other public sources can be assessed as custom projects. We confirm source restrictions, permitted use, field coverage, and a sample before committing to delivery.
Do you provide data for AI training?
Yes. We collect and prepare structured datasets for AI training, fine-tuning and evaluation. Clients explore delivered retail observations in the portal and download CSV, JSON or Parquet. Custom schemas, JSONL preparation, labelling and evaluation splits are agreed per project.
How is the data delivered?
Our team uploads completed results to your client workspace. You can filter and chart your data, inspect individual products and download CSV, JSON or Parquet. Other formats and delivery destinations can be scoped separately.
How do you keep data collection reliable?
We run resilient collection infrastructure with health monitoring, automatic retries, validation, and schema-drift detection. When a page structure changes, we catch it and fix the parser quickly. Our focus is reliability and data quality, not gaming any site.
What's the typical project size?
We support retail monitoring from one tracked listing, with no minimum monthly spend on flexible coverage. Volume packages support larger recurring deliveries. Custom datasets, new sources, extensive matching, and AI training preparation are quoted separately.
How quickly can you start?
We confirm timing after reviewing your source list, intended use, required fields, and sample. Existing retail coverage can shorten setup; new sources require feasibility and rights review before a delivery commitment.
Public data.
Responsible collection.
We collect only publicly available web data. Our policy requires source review, respect for access restrictions, and a defined purpose for every project. Public access alone does not establish rights to redistribute content or use it for AI training.
Read our data collection policy→ 03 · Begin
Tell us what data you need. We'll deliver it.
One short form. No sales decks. We'll respond within a business day with a sample, a price, and a timeline.