Chewy quotes the same bag four ways - list price, Chewy Price, a recurring Autoship price and a first-order Autoship cut - and prints the cost per pound beside every size.
You set the scope - whole animal verticals, named leaf categories, a brand list, a set of part numbers, or every prescription shelf - and we deliver CSV, JSON, XLSX or an API endpoint of ours on your schedule. Price, Autoship price, promotion text and stock usually run daily or weekly; attributes, guaranteed analysis and document links move slowly, so a monthly pass covers them.
The engineering is ours. Category listings return thirty-six rows at a time and page through an address that appends the category id and a page number, so coverage is assembled from the sitemap set and the facet tree rather than by guessing where a listing ends. The storefront is closed to plain automated clients, so anti-bot handling, proxy rotation and CAPTCHA solving are part of the managed service, run at a polite rate. We take only what a signed-out visitor sees, we do not log in, and we do not collect personal data.
A single row carries four prices at once, and dropping any of them breaks the series. List Price is the manufacturer figure shown struck through, Chewy Price is the advertised one-time price, Autoship Price is the same item on a repeating delivery at five percent less, and First Time Autoship Price is the deeper introductory cut - thirty-five percent off up to twenty dollars on general merchandise, fifty percent off up to fifty dollars on a first pharmacy order. Beside them sits the per-unit figure the shop prints itself, and it is never flat across a product: the small bag of a recipe can cost well over a dollar more per pound than the jumbo bag of the same formula.
Identity is layered. The number in the /dp/ address is a catalog entry id naming the product family; every buyable variant beneath it has its own part number and its own entry id, and retail items usually publish a twelve-digit GTIN as well. Variants run on named merchandising attributes - Flavor and Size on food, Strength and Count on medication - so one page can hold five flavors against five bag sizes, with some combinations marked unavailable rather than hidden.
Stock and lifecycle are spelled out rather than implied: in stock, unavailable, discontinued, permanently discontinued, a new-version pointer, a replacement item, plus flags for refrigerated, frozen, fresh, live feed and live plant goods that only ship to eligible postal codes. Pricing also carries a minimum advertised price and a MAP-enforced marker, which is exactly what a brand watching retail compliance needs.
The rest of the card is heavy on attributes: Packaging Type, Made In, Sourced From, Lifestage, Breed Size, Food Form and Special Diet as named fields; an At a Glance strip of badges such as High-Protein, Immune Support, Digestive Health or Made in USA; rating, rating count and the full one-to-five distribution; the count of answered questions; promotion text; and a shipping line with the promised transit window.
Food pages publish the label, not a summary of it. Under Nutritional Info sit the ingredient list in declared order, caloric content in kcal per kilogram and per cup, and the Guaranteed Analysis as a real table - crude protein, crude fat, crude fiber and moisture with min or max markers, then linoleic acid, calcium, phosphorus, selenium, vitamins A and E, glucosamine in ppm and probiotic colony counts per pound. A feeding chart maps body weight to daily cups, and a transition block sits beside it.
Pharmacy items carry a different schema. Generic Name, Common Brand Name(s), For Use With, Administration Form, Product Form and Drug Type replace the food attributes; uses, cautions, possible side effects, recommended dosage and storage instructions are separate fields; and two documents hang off the item, the prescribing information insert and the patient information sheet. Rx rows are badged prescription required, ship separately in three to five days, and single-pill items are sold by the tablet with quantity running into the hundreds.
Around the catalog there is more: customer questions with dated answers, reviews with a star histogram and machine-scored themes such as Digestibility, Palatability and Ingredient Quality, a compounding pharmacy section, Chewy Vet Care clinic pages by state, city and street, pet insurance and wellness plans, and an education library by animal and by breed. Reviews and answers show first names, so we leave personal data out by default.
Chewy is a United States online retailer of pet food, supplies and medication, run out of Plantation, Florida, and its catalog is organised by animal before anything else. The top of the site asks who you are shopping for and answers with eleven doors: Dog, Cat, Pet Parent, Horse, Wild Bird, Small Pet, Pet Bird, Fish, Reptile, Chicken and Livestock. Under each one the tree splits into Food, Treats, Health and Pharmacy, Supplies, Toys, Grooming and Cleaning, and then into leaves as narrow as Fresh Food and Toppers, Veterinary Diets, Long-Lasting Chews, Clumping Cat Litter, Chick Starter Feed, Sugar Glider Habitats or Reptile Heat Lamps.
Addressing is regular enough to crawl by rule. A product sits at a slug plus /dp/ and a catalog entry id; a category at /b/ plus a slug and its id, as in /b/dry-food-294; a brand at /brands/ plus a slug and id; a filtered shelf at /f/ with the slug, then _c and the category id, then _f, the facet group id, v and the value id. Search landing pages live under /sp/, promotional shelves under /deals/. Facet group numbers are constant across the site: 1 is Brand, 3 Special Diet, 4 Flavor, 5 Lifestage, 6 Breed Size, 50 Health Feature, 168 Price, 197 Product Weight.
In September 2026 the product sitemaps carry about 237,000 item addresses across seven files, beside roughly 3,100 United States category pages, about 2,400 brand pages and some 7,300 pre-built facet shelves. Canada runs as a separate storefront under /ca/ with its own ten-digit ids, so a Chewy scraper that covers both markets is really covering two catalogs.
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Subscription pricing is why most buyers of Chewy price data arrive. Autoship is a second ladder sitting under the shelf price and it moves on its own schedule: an item can hold its one-time price for months while the recurring rate and the first-order discount are re-cut for a season. A feed that stores only the advertised number will report calm where there is none.
The second reason is cross-retailer comparison. Because retail items publish a GTIN, a row joins cleanly to the same pack at Amazon or Petco, and the honest comparison is per pound or per unit rather than per bag - the small and jumbo versions of one recipe can differ by more than a dollar a pound. Brands use the same join to watch minimum advertised price, to see which sizes are actually stocked, and to find where a house label such as Frisco, American Journey, Tiny Tiger, Vibeful or True Acre Foods has been shelved beside their own.
Category teams read it as an assortment map. New arrivals, discontinued markers and replacement pointers show a range turning over; the pre-built facet shelves show which claims - grain free, high protein, limited ingredient, senior, hypoallergenic - the merchant thinks deserve a landing page of their own. Veterinary diets and prescription shelves add a margin picture that no grocery feed contains.
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Learn MoreLearn how to use web scraping to solve data problems for your organization
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
ScrapeIt is a managed web scraping agency with no affiliation with Chewy, Inc. We scope the job, build the crawler, run it on your schedule, watch it when the site changes and repair it before you have to file a ticket. Be aware that the Chewy Terms of Use forbid copying, reproducing or downloading any part of the site without written consent, and forbid collecting content for the benefit of a third party or to build a similar or competitive service; the document also carries a binding arbitration clause and a class-action waiver. Have your counsel approve the use case, start with a sample of one category, check the fields against your model, then scale.
No. There is no developer portal and no documented public API for buyers. The affiliate program runs through Impact and hands out links, tracking and commission rather than a catalog feed, and the vendor side sits behind a Chewy Partner Hub sign-in. What is machine-readable in the open is the sitemap set and the schema.org Product block on an item, which carries sku, the gtin where there is one, brand, category, aggregate rating and review count, a low and high price with an offer count, and the return and shipping policy. Autoship pricing, the guaranteed analysis and the attribute tables are not in that block and are read from the page itself. We hand you our own endpoint instead.
They stay separate columns: list price, Chewy Price, Autoship Price with its percentage, and the first-order Autoship price with its cap. The per-unit figure the site prints - per pound, per ounce, per count or per tablet - is kept as its own field, and we add a normalised per-unit value so bag sizes and case packs can be compared directly. Promotion text and any deal or minimum advertised price marker travel with the row, because a five percent recurring discount and a seasonal code are different things and belong in different columns.
Yes, though they have to be treated as two catalogs rather than one. The Canadian shop sits under a /ca/ prefix with its own product ids, its own assortment and its own currency, and it addresses brands as facet shelves where the United States site uses brand pages. We normally run a fixed watchlist of part numbers daily or weekly for price, Autoship price and stock, and a wider sweep of categories, attributes and document links monthly. Delivery is CSV, JSON, XLSX or an API endpoint of ours, and full-catalog passes are paced politely.
We collect the public pharmacy catalog: drug name, generic name, common brand names, strength, count, form, drug type, price and Autoship price, the uses, cautions and side effect text, dosage and storage instructions, and the linked prescribing information and patient information documents. What we do not touch is the prescription workflow itself - no account, no vet approval flow, no order history, no pet profiles. Those sit behind a sign-in and behind health and personal information we have no business gathering.
We are direct rather than evasive. The Chewy Terms of Use grant a limited license to use the site and then restrict it: you may not copy, reproduce, distribute, republish or download any part of the site without written consent, you may not access it to build a similar or competitive service, and you may not collect content for the benefit of another third party. They also carry binding arbitration and a class-action waiver, with Broward County, Florida named where it does not apply. We work only on pages a signed-out visitor can reach and gather no personal data, but the terms are a business decision - have your counsel approve the use case and we scope around what they clear.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
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