E-commerce
Amazon
Listing, price, rank and seller data across marketplaces and categories.
- asin
- title
- brand
SOURCE CATALOGUE 45 sources / 7 categories
Scraping use cases
From product prices to property listings. Explore the data we collect, the fields you can work with, and the possibilities for your business.
These examples show our capabilities, not guaranteed availability. Even an existing solution may be unavailable for new work due to current commitments. Scope, pricing and delivery are discussed individually before a project is accepted.
E-commerce
Target
Retail catalogue records with promotions, fulfilment and store-aware stock.
- tcin
- sku
- product url
Events
SeatGeek
Seat-level offer intelligence: sections, rows, quantities, prices and source scores across a defined event set.
- event id
- listing id
- section name
Events
StubHub
Event-level inventory research with listing IDs, seat context, quantity options, asking prices and listing notes.
- event id
- listing id
- section id
Events
Vivid Seats
Section and zone intelligence with offer prices, seat perks and separately observed checkout components where available.
- event id
- listing id
- section id
Real Estate
Airbnb
Accommodation research with property details, date-specific quotes and observed availability, scoped to permitted access and like-for-like stays.
- listing id
- title
- room type
Travel
Hopper
Hotel details, displayed offers and scoped flight searches with trip and price context.
- property name
- destination
- travel dates
Travel
Skyscanner
Observed itineraries, carriers and fares across a defined route-date grid.
- itinerary id
- origin
- destination
E-commerce
IKEA
Article-level specifications, market-specific prices and store stock, with a real Indonesia sample.
- product id
- title
- category
E-commerce
eBay
Public listings, displayed prices, conditions and seller feedback, with market context preserved.
- item id
- title
- price
Recruitment
Indeed
Job titles, employers, locations, salary text and descriptions in a source-linked feed.
- Website
- Job ID
- Job Title
Recruitment
Glassdoor
Advertised roles, companies, locations and salary wording for structured hiring research.
- Website
- Job ID
- Job Title
Web
Zapier
Research app categories, integration flags and published triggers, actions and searches.
- app id
- app name
- categories
E-commerce
Walmart
Product prices, sellers and variants, with market and location context kept intact.
- item id
- title
- brand
Real Estate
Zillow
Sale and rental listings with property context, dated observations and scoped change tracking.
- zpid
- address
- lat lng
Real Estate
Redfin
Compare rental offers, sale listings and regional trends with prices and source context kept distinct.
- listing id
- record type
- base rent
Web
G2
Connect product profiles, rating context and scoped review evidence for software research.
- review id
- product id
- entity type
E-commerce
Flipkart
Product identities, INR prices and published rating signals, with promoted placements and offer context preserved.
- product id
- title
- brand
Web
CNN
Story links, video metadata and observed changes, with source context and separate publication, update and collection times.
- headline
- url
- source kind
Web
BBC News
Connect news and sport listings with source context, item dates and observed changes.
- headline
- source service
- section
Web
Reddit Posts
Plan an approved post and reply workflow with thread relationships and explicit coverage limits.
- post id
- title
- body
Web
Wikipedia
Connect article identities, infobox fields and citation links with language, source and revision context.
- page id
- title
- language
Real Estate
Realtor.com
Property records, observed listing changes and regional research with clear source, time and coverage context.
- listing id
- address
- coordinates
E-commerce
Lazada
Products, prices and seller signals, with market, SKU and promotion context kept intact.
- market
- item id
- sku id
E-commerce
Etsy
Listing offers, search placements and shop reputation, with price and seller context kept distinct.
- listing id
- title
- price
Real Estate
PropertyGuru
Sale and rental listing research with asking-price context, property attributes and dated observations, scoped by market.
- listing id
- address
- price
Real Estate
Homegate
Swiss rental and sale listing research with CHF price components, rooms, area and dated observations.
- listing id
- postal code
- municipality
Real Estate
Newhome
Swiss rental and sale offers with rent components, property measures, source references and quality flags.
- immocode
- property number
- rent
WebPinterest
Plan a source-linked visual dataset with Pin metadata, board context and explicit collection coverage.
- pin id
- title
- description
E-commerce
AliExpress
Product discovery and displayed prices, with destination, currency and source context preserved.
- product id
- title
- seller
Web
Yelp
Connect business locations, categories and reputation signals for local-market research.
- business name
- category
- address
Web
Google Maps
Business locations, search context and operating details with defined geographic coverage and source permissions.
- place id
- name
- category
Travel
Booking.com
Property identity, guest-rating signals and stay-specific offers with room and price context.
- property name
- location
- star rating
Web
The New York Times
Research news coverage with source-attributed headlines, bylines, topics and publication dates. Scope feed-first metadata collection and observed changes.
- title
- author
- section
Recruitment
We Work Remotely
Research remote roles, employers and location requirements with feed-first collection and dated source context.
- title
- company
- category
Web
DISBOARD
Research public community listings, topic tags and observed directory changes with source context intact.
- server name
- description
- tags
Restaurants
7 Brew
We collect 7 Brew drink names, categories, sizes and local prices, linked to the stand where each offer was observed. A managed feed for beverage and pricing research.
- brand name
- item id
- item name
Restaurants
Dutch Bros
We collect Dutch Bros menu items, categories, drink sizes and shop-level prices. Keep beverage variety and local context together in a structured data feed.
- brand name
- item id
- item name
Restaurants
Luckin Coffee
We collect Luckin Coffee product names, menu categories, sizes and location-specific prices. Scope a structured feed around the stores and market you want to understand.
- brand name
- item id
- item name
Restaurants
Scooter's Coffee
We collect Scooter's Coffee products, menu categories, sizes and local prices. Build a maintained feed for beverage benchmarking and regional menu intelligence.
- brand name
- item id
- item name
Restaurants
McDonald's
We collect McDonald's menu items, categories, sizes and restaurant-level prices. Structured observations for competitive pricing, assortment and location research.
- brand name
- item id
- item name
Restaurants
Starbucks
We collect Starbucks menu products, category paths, sizes and store-level prices. Connect coffee and food observations to local markets and repeat collections.
- brand name
- item id
- item name
Restaurants
Subway
We collect Subway menu products, formats, size labels and restaurant-level prices. A structured foundation for sandwich-market and local pricing research.
- brand name
- item id
- item name
Restaurants
Wendy's
We collect Wendy's breakfast combo products, size options and restaurant-level prices. Build a focused feed for breakfast pricing and competitive menu research.
- brand name
- item id
- item name
Restaurants
DoorDash
Our DoorDash collection work spans 42 restaurant brands, including McDonald's, KFC and Jimmy John's. Scope menus, local prices, store listings, ratings and reviews around your research.
- brand name
- store number
- store url
Showing 1–12 of 45
Behind the datasets
Collection experience, by industry.
Past project experience, from location-aware prices to multi-step quotes. These examples show how we approach a problem; new work is reviewed for feasibility and available capacity.
Events, offers, seats and price context.
StubHub, SeatGeek, Vivid Seats, Ticketmaster, TickPick and GoTickets
StubHub: inventory beyond the first view
The challenge
The ranked public view did not represent the full inventory needed for the project's event coverage.
Our approach
We investigated the source's inventory responses and built collection around the agreed event and offer scope, with source-specific access handling.
Explore related dataSeatGeek: maintained access
The challenge
DataDome protection made routine collection difficult to sustain.
Our approach
The project used source-specific access engineering and ongoing maintenance. Access conditions are re-assessed for each new scope; previous operation is not a no-downtime guarantee.
Explore related dataTickPick: checking plausible-looking results
The challenge
A completed response could contain misleading records rather than an obvious failure.
Our approach
Cross-checks across collection sessions and timing windows helped identify suspect records before delivery.
Read the case studyLocations, menus, sizes, modifiers and local prices.
DoorDash, McDonald's, Subway, Starbucks, Dutch Bros and Luckin Coffee
DoorDash: one structure across 42 brands
The challenge
Sizes, variants and modifiers were represented differently across the 42-brand restaurant programme.
Our approach
Brand-specific normalization distinguished product sizes from extras and sub-items, making the collected menus more comparable.
Explore related dataMcDonald's: the bottleneck after collection
The challenge
Large regional payloads made data processing take more than three days.
Our approach
A redesigned processing pipeline reduced that stage to 4-5 hours in the documented project. This is a project result, not a delivery-time guarantee for other sources.
Read the case studyDutch Bros & Luckin Coffee: app-only data
The challenge
The required menu and pricing information was served through protected app traffic.
Our approach
Source-specific app-interface analysis made it possible to interpret and structure the required records. New work remains subject to permitted access and a feasibility review.
Explore related dataSubway: reduce unnecessary requests
The challenge
Collecting one product per request did not fit the project's refresh window.
Our approach
We identified a batch retrieval path that collected multiple product records per request, reducing the request workload for the agreed catalogue.
Explore related dataProduct identifiers, variants, prices, sellers and stock.
Amazon, Walmart, Shopee, Temu, SHEIN, Naver, Taobao and Lazada
Walmart: keep location with the price
The challenge
Price and availability depended on ZIP-specific session context rather than just the product URL.
Our approach
Separate location contexts kept each observed price and stock record tied to the relevant market.
Explore related dataShopee: session-sensitive catalogue access
The challenge
Login, verification and repeated challenges disrupted catalogue collection.
Our approach
The project required a source-specific session and challenge workflow instead of a generic page request. Existing experience does not mean capacity or access is available for a new engagement.
Discuss a similar requirementTemu & SHEIN: mixed challenge flows
The challenge
Repeated, different challenge types interrupted collection.
Our approach
Challenge handling combined supported automated steps with human review where needed, scoped to the collection task.
Discuss a similar requirementListing identity, location, asking price and property attributes.
Homegate, Comparis, Newhome and ImmoScout24
Swiss portals: source-specific access
The challenge
Browser and network checks made the collection sensitive to session consistency.
Our approach
The collection combined appropriate browser sessions and network handling, with maintenance as source behavior changed.
Explore related dataSwiss portals: cross-source identity
The challenge
The same property could appear across portals with different field names and update schedules.
Our approach
Normalization and deduplication brought the agreed fields into a unified feed without treating every repeated appearance as a new property.
Explore related dataJob titles, employers, locations, salary text and descriptions.
Indeed, Glassdoor and LinkedIn
Indeed & Glassdoor: search-depth limits
The challenge
A broad search stopped exposing results before the project's required job coverage was reached.
Our approach
We split collection into narrower queries and reconciled their overlap. Coverage is evaluated against the agreed filters, not claimed as every job on a platform.
Explore related dataLinkedIn: session and query continuity
The challenge
Session expiry and per-query result limits affected long-running job collection.
Our approach
Session continuity and narrower query slices were handled together, with expiry detection and duplicate reconciliation.
Discuss a similar requirementProperty details, itineraries and date-specific offers.
Booking.com, Expedia, Airbnb, Vrbo, Google Hotels & Flights, Skyscanner, Kayak, Agoda, Hotels.com and Trivago
A travel quote needs its search context: dates, occupancy or passengers, market and currency. Comparable records depend on preserving those inputs, not collecting a price alone.
Explore related dataCompany attributes, software categories and source-linked business context.
LinkedIn & Sales Navigator, Apollo and G2
Field availability, authorized access and intended use are reviewed before scope is agreed. An account's access does not imply permission to redistribute everything it can display.
Explore related dataPart numbers, specifications, supplier catalogues and observed availability.
Digi-Key, Mouser, Grainger, McMaster-Carr, RS Components, ThomasNet and ToolsUnited
Industrial catalogue work needs comparable identifiers, units and variants. Send representative part pages and required fields so we can review the source and agree a usable schema.
Discuss these requirementsLocation-specific quotes, service options and quote inputs.
PODS, U-Pack, 1-800-PACK-RAT and GoMinis
U-Pack: multi-step quote collection
The challenge
A quote required multiple form stages and repeated challenges rather than a single public data response.
Our approach
The collection maintained state through the form journey and handled retryable failures while preserving the quote's inputs.
Discuss a similar requirementPODS: session setup costs
The challenge
Pricing requests depended on a session initialized through a rendered page.
Our approach
Session lifecycle handling reduced unnecessary repeat initialization while keeping the collection tied to the required quote context.
Discuss a similar requirement1-800-PACK-RAT: mixed page and request flows
The challenge
The quote journey combined browser-dependent setup with subsequent data requests.
Our approach
We separated session setup from collection and reused valid state where the source allowed it, reducing repeated page loads.
Discuss a similar requirementYOUR NEXT DATA PROJECT
Your source.
Your requirements.
Found a match, or need a source beyond this list? Share the websites and data you need. We review feasibility and available capacity before discussing scope, delivery and pricing. Work starts only after both sides agree.
- Source-specific collection plan
- Any sample or pilot agreed separately
- Agreed fields, refresh schedule and quote
Projects are accepted individually, subject to feasibility and available capacity. An enquiry does not reserve a solution or confirm delivery. Pricing and terms are agreed directly with our team.
Your brief is emailed to our team for project review and a reply.