Gopuff does not resell someone else's shelf. It stocks its own micro-fulfillment centers, so the assortment, the price and even the alcohol rail change with the address you order to.
ScrapeIt runs the Gopuff scraper as a managed service. You name the markets, delivery addresses and fields; we build the crawl, run it on your cadence and hand back CSV, JSON, Excel, Parquet or a push into your warehouse. Anti-bot handling, proxy rotation and CAPTCHA solving are part of the service rather than something you arrange, and this storefront meets plain automated clients with a browser challenge, so that work is a precondition here.
We take only what the site shows without an account: no sign-in, no basket, no checkout. We collect no names, phone numbers or anything else that identifies a private person.
The terms of service grant no licence for commercial use of product listings, descriptions or prices, and rule out data mining, robots and similar extraction tools. Put the use case to your own counsel first, and we scope the work to what counsel signs off.
The product record is the spine of a Gopuff data feed. Each card carries the brand, the merchandising name with its pack format written into it, the price, the unit price in dollars per ounce, the pack size and a stock state. Page markup adds sku, category, description, image and an offer with price, currency and availability, so the parsed row and the published row can be reconciled line by line.
Size is not a single field but a ladder. One line renders every format the retailer stocks, each with its own price and its own unit price: Tito's Handmade Vodka runs 50ml, 200ml, 375ml, a twelve-pack of 50ml, 750ml, 1L and 1.75L, and the cheapest per ounce is flagged BEST VALUE. That ladder is why Gopuff price monitoring has to be run per format rather than per brand, and why a bare brand average is worthless here.
Grocery lines publish a full nutrition block: calories, fat, cholesterol, sodium, carbs and protein in the summary, then servings per container, serving size, percent daily values and the ingredient statement in full. Dietary tags sit next to it - Low Sugar, Trans Fat Free, Gluten Free, Kosher - with the allergen line spelled out as a plain sentence such as Contains Milk Ingredients. SNAP eligibility is a badge on the card and is repeated in the page title.
Alcohol swaps the nutrition block for a spirits block: ABV, Type, Style, Country and State, plus the Proposition 65 wording and the licensed merchant the bottle is sold by. Stock speaks the retailer's own grammar - OUT OF STOCK, SIZE OUT OF STOCK, SOLD OUT, Only 2 left - and promotions arrive as a struck-through reference price beside a badge: Cheapest on the Planet, New Lower Price, a percentage off, FAM Exclusive, LOCAL or AD. We extract Gopuff data for all of it, including the substitution preference the basket offers, which is either remove if out of stock or substitute with best available.
A basket here is priced in layers, and the checkout names each one: Delivery, Service Fee, Small Order Fee, Alcohol Fee, Regulated Products Fee, Local Operating Fee, Late Night Fee, Fleet Surge Fee, Inclement Weather Fee, Fuel Surcharge and an optional Priority upgrade, plus a Bag Fee, a beverage container fee, a Colorado retail delivery fee and a Washington spirits liter fee where local law requires them. The order fee starts at $3.95, and a further $3.95 rides on any basket holding alcohol, tobacco or vaping products.
There is no order minimum in dollars, but a Small Order Fee applies under a basket threshold that varies by address - the fee model supports up to six thresholds at once, and cigarettes and gift cards count toward neither the threshold nor its removal. FAM, the membership, is $7.99 a month or $71.88 a year, $3.99 a month for students, with a thirty-day trial at $0.99. It zeroes the delivery fee, drops regulatory fees, unlocks the Cheapest on the Planet list and adds the FAM20 twenty-minute guarantee, so every quotable Gopuff price is really two numbers, member and non-member.
Prepared food is a rail of its own. Licensed Starbucks locations sit inside the warehouses and sell handcrafted drinks made to order - lattes, cortados, Frappuccino blended beverages, Refreshers, iced teas and Anytime Eats bakery - beside a From Our Kitchen coffee shelf and Freshly Made Sweets. Pickup exists too, quoted as ready in five to ten minutes, with the nearest location given by distance in miles and its closing time.
Gopuff is an instant-commerce retailer that owns what it sells. Instead of sending a shopper into a supermarket, it stocks its own warehouses - the site calls them micro-fulfillment centers, and the location dialog names each one as MFC #id with its own address, delivery hours, pickup hours and alcohol availability window. That single fact shapes every field a Gopuff scraper can collect: assortment, price and stock belong to a warehouse, not to a third-party storefront.
Addresses are simple and stable. A product sits at /p/slug/pNNNNN, and that trailing number is the same value the page markup publishes as the sku, so a card and its record join without guesswork. Shelves sit at /c/slug/ID, and the id prefix tells you what kind of shelf it is: tx for the browse taxonomy, br for a brand shelf, dm for an alcohol style such as Kolsch or Anejo Tequila, and sp for the similar-products rail that hangs off a single product id.
Geography is published as its own tree. /near-me/state/city/neighborhood runs three levels deep, and the city page is the only place the retailer quotes prices before an address is entered. Locale lives in the path as well: /us-es mirrors the American catalogue in Spanish on exactly the same ids, while /gb and /gb-zh carry a separate British catalogue with its own ids and prices in pounds.
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Ask what a frozen pizza costs here and the answer changes with the postcode. The same Red Baron deep dish reads $5.49 on the Philadelphia city page and $6.99 in Austin and Los Angeles; a Hot Pockets two-pack is $4.79 in Philadelphia against $5.29 in the other two. Even the struck-through reference price moves: the same unsalted butter is crossed out at $4.49 in one market and $4.59 in another.
Assortment moves with it. Philadelphia lists roughly 1,000 alcohol lines, about 1,100 fresh grocery lines and 230 quick meals (September 2026); Los Angeles shows about 740, 490 and 130; Austin renders the grocery and quick-meal rails and no alcohol rail at all. Drink is the sharpest case, because the sale is bounded by state licence, by a per-order volume cap the basket enforces, and by the hours the local warehouse is permitted to sell.
So we scrape Gopuff from a named list of delivery points - your own catchments, a competitor's blocks, a metro cut into neighborhoods - and stamp every row with the address it was collected for. Coverage of a city is planned by neighborhood, category and pack format, because a single national figure for this retailer does not exist. Without an address the card falls back to a Check Availability button, which is exactly the number nobody can act on.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt is a managed extraction company, not a tool you have to learn. Our team builds the Gopuff scraping pipeline, watches it while the site moves - an instant-commerce catalogue is reworked weekly - and repairs it before your dashboard goes quiet.
You see a sample first, in your format, against your own delivery addresses. Approve it and the full run follows on the cadence you choose, from a one-time snapshot to several passes a day for a Gopuff data feed that has to stay current.
No. There is no public Gopuff API that hands a data buyer the catalogue. Gopuff Ads is an advertising product - sponsored placements, display, audience extension and product sampling - and it sells reach, not rows; brand and affiliate work goes through a partnership request form and onboarding. The storefront itself runs on a private internal layer, and the robots file closes the proxy path it uses along with search and browse. So a Gopuff data feed has to be assembled from the rendered pages, which is exactly what our managed service does.
We deliver product id and sku, brand, category path, name, description, image, price, reference price, unit price per ounce, pack size and the full size ladder, availability, SNAP eligibility, nutrition facts, ingredients, dietary and allergen tags, ABV and spirits attributes, deal badges, plus city, neighborhood and store hour context. Not published anywhere: order volumes, per-warehouse inventory counts, supplier terms, courier pay and price history. Cart-side numbers such as the final service fee and tax are computed at checkout, so we model them from the published fee rules rather than claim a receipt.
Yes, and that is the only honest way to buy this data. You give us street addresses, postcodes or map points - the blocks around your stores, a rival's catchment, a whole metro cut into tiles - and we run the crawl against each of them, stamping every row with the delivery point it belongs to. That is what makes comparison legitimate: one pack format across three neighborhoods, one neighborhood across ten weeks, one basket with and without the membership. City coverage is planned by neighborhood, category and format rather than by page number.
From a one-time snapshot to several passes a day. Prices, badges and stock flags move constantly on an instant-commerce catalogue, so most price monitoring clients run daily or twice daily against a fixed address list, with a wider structural sweep weekly to pick up new shelves, renamed categories and delisted lines. Delivery is CSV, JSON, Excel, Parquet, or a direct load into S3, BigQuery, a database or an endpoint you own. Schemas are agreed before the first full run and kept stable, so joins on product id survive between passes.
We are direct about this. The Gopuff terms grant a personal, non-commercial licence only: they exclude resale or commercial use of the service, exclude the collection and use of product listings, descriptions or prices, and rule out data mining, robots and similar data gathering and extraction tools. Framing or mirroring the site without written consent is barred as well. We work only on pages that render without an account, we never touch a login or a checkout, and we collect no personal data - but we ask every client to have their own counsel approve the use case before the project starts.
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.
Scrapeit Sp. z o.o.
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