ScrapingBuddy
Industries

We’ve already scraped the platforms you need.

Not a promise — a record. We’ve built and maintained pipelines on the exact sites and apps your team depends on, so we already know their data, their defences and their quirks.

Platforms covered

47

web · app · API

Engineered past

  • Cloudflare
  • DataDome
  • Akamai
  • Captcha walls
  • Encrypted app traffic
  • Fingerprint blocks
Industries

Nine verticals. Every platform named.

The sources we extract from in each one, the shape of the data, and the file it arrives as.

Retail & Ecommerce

Commerce · 8 platforms

AmazonWalmartShopeeTemuSHEINNaverTaobaoLazada

Ticketing

Live events · 6 platforms

TicketmasterStubHubSeatGeekVivid SeatsTickPickGoTickets

Restaurants

Local · 6 platforms

DoorDashStarbucksMcDonald'sSubwayDutch BrosLuckin Coffee

Real Estate

Property · 4 platforms

HomegateComparisNewhomeImmoScout24

Recruitment & Jobs

Talent · 3 platforms

IndeedLinkedInGlassdoor

B2B Lead Generation

Growth · 3 platforms

LinkedIn & Sales NavigatorApollo.ioG2

Travel & Hospitality

Travel · 6 platforms

Booking.comExpediaAirbnb & VrboGoogle Hotels & FlightsSkyscanner & KayakAgoda, Hotels.com, Trivago

Manufacturing

Industrial · 7 platforms

Digi-KeyMouserGraingerMcMaster-CarrRS ComponentsThomasNetToolsUnited

Container Storage

Logistics · 4 platforms

PODSU-Pack1-800-PACK-RATGoMinis

Casework

Problems we actually solved.

Named platforms, the thing that made each one hard, and what came out the other side. Open any card for the engineering.

  1. 01WalmartRetail & EcommerceAccurate, ZIP-specific prices and stock captured continuously — not a single default region.How
    Challenge
    Blocks on browser fingerprint and IP — and prices change by ZIP code, with the location bound to the browser session, not the request.
    Solution
    Managed fingerprints and IPs, plus an isolated session per ZIP code — so every locality's true price is captured, not just one default region.
  2. 02ShopeeRetail & EcommerceUninterrupted access to gated catalogue data, without captcha or account churn.How
    Challenge
    Data sits behind login and phone verification (impossible in regions like Taiwan), fresh accounts survive only minutes, and requests get blocked fast.
    Solution
    We found the client-side trigger behind its challenge system and neutralised it, so sessions run clean without tripping captchas or blocks.
  3. 03Temu & SHEINRetail & EcommerceA continuous data flow that holds up against relentless, mixed captcha walls.How
    Challenge
    Login is easy, but challenge walls fire every few minutes, mixing five to ten captcha types — including drag puzzles too hard even for people.
    Solution
    We auto-solve the tractable captchas and route the hardest drag puzzles to a human-in-the-loop system.
  4. 04StubHubTicketingComplete ticket coverage per event — including listings the public page never shows — through DataDome.How
    Challenge
    DataDome protection, but the real challenge is inventory visibility — StubHub only surfaces a fraction of available tickets per event, hiding the rest behind its own ranking logic.
    Solution
    We reverse-engineered how DataDome issues its signals and then built a method to surface the full hidden inventory that the front-end never renders.
  5. 05SeatGeekTicketingReliable, ongoing coverage through DataDome — no dropped runs.How
    Challenge
    Hardened DataDome protection.
    Solution
    We reverse-engineered how DataDome issues its signals to hold reliable access.
  6. 06TickPickTicketingVerified, clean data — with silent-poison detection that catches bogus listings before they reach the pipeline.How
    Challenge
    Protected by DataDome and CAPTCHAs, but the real problem is stealth — instead of blocking detected bots, TickPick silently serves plausible-looking fake data, so a scraper can run for days collecting bogus listings without ever knowing.
    Solution
    We built a multi-pass verification layer that cross-checks results across sessions, timing windows, and request profiles to distinguish genuine listings from injected decoys.
  7. 07McDonald'sRestaurantsFull regional menu data parsed and delivered in hours instead of days — well inside the client deadline.How
    Challenge
    Akamai protection blocks conventional requests outright, and even once past it the responses are enormous — raw payloads so large that parsing every region was taking days, far longer than the client's two-day delivery window.
    Solution
    We bypassed Akamai and then rebuilt the parser from scratch, optimising it to process the same data set in a fraction of the original time.
  8. 08DoorDashRestaurantsClean, consistently structured variant data across every brand — delivered monthly at scale.How
    Challenge
    Cloudflare protection plus a structural problem: across roughly forty restaurant brands, every brand defines product variants, sizes and modifiers differently — one calls it 'Large', another 'Big', and sub-items like sauces sit alongside genuine size variants with no consistent schema.
    Solution
    We cleared Cloudflare and built a normalisation layer that maps each brand's variant taxonomy into a unified structure, correctly distinguishing size variants from sub-dishes across all forty brands.
  9. 09Dutch Bros & Luckin CoffeeRestaurantsFully readable, structured menu and pricing data from otherwise completely opaque app traffic.How
    Challenge
    Both apps encrypt traffic end-to-end: requests require a hidden token embedded in the app to even reach the server, and the responses come back encrypted — unusable without the matching decryption key.
    Solution
    We recovered the authentication tokens and decryption keys from the app internals, then built a pipeline that authenticates, fetches, and decrypts in one pass.
  10. 10SubwayRestaurantsComplete product catalogue delivered within the one-day window, despite the massive scale.How
    Challenge
    Millions of product records, and the client needed the full data set refreshed within a single day — but the standard approach of one request per product would take far too long.
    Solution
    We discovered a way to retrieve multiple product records in a single request, dramatically reducing the total number of calls needed.
  11. 11Swiss portals — fingerprint accessReal EstateUninterrupted extraction across all four Swiss portals — no fingerprint-triggered blocks, no dropped sessions.How
    Challenge
    All four portals are protected by DataDome and are extremely sensitive to browser fingerprints — even minor inconsistencies in the fingerprint cause immediate blocks, making conventional scraping impossible.
    Solution
    We engineered a fingerprint pipeline that produces browser profiles indistinguishable from real user traffic, paired with high-quality residential IPs, so every request passes fingerprint and bot checks cleanly.
  12. 12Swiss portals — cross-portal unificationReal EstateOne unified, deduplicated Swiss listings feed — a single clean dataset from four separate sources.How
    Challenge
    Listings are fragmented across several Swiss portals, each with its own schema, field naming, and update cadence.
    Solution
    Built and maintained a unified Swiss real-estate feed that normalises and deduplicates listings across all four portals.
  13. 13Indeed & GlassdoorRecruitment & JobsComplete job-listing coverage across both sites — every listing captured, not just the first few pages.How
    Challenge
    Cloudflare protection is the first wall, but the real problem is coverage — both sites aggressively cap pagination depth, so a conventional crawl only ever sees a fraction of the listings. Our client needed the complete index, not a sample.
    Solution
    We bypassed Cloudflare and then built a query-decomposition strategy that navigates around the pagination ceiling, systematically covering the full listing inventory without hitting the depth limit.
  14. 14LinkedInRecruitment & JobsReliable, ongoing job-listing extraction from LinkedIn — sessions stay healthy, coverage extends past the platform's own search limits.How
    Challenge
    Sessions expire unpredictably, and every session is locked to its IP — rotating IPs mid-session kills the cookie. On top of that, LinkedIn caps job-search results at a hard limit per query regardless of actual matches, layers behavioural analysis on top of fingerprinting, and requires a synchronised CSRF token with every request.
    Solution
    We built a session-management layer that binds each session to its IP, detects expiration before it causes data loss, and decomposes broad searches into narrow filter slices that collectively cover the full listing inventory beyond the per-query cap.
  15. 15U-PackContainer StorageReliable pricing data from a target that requires two form submissions and two CAPTCHA solves for every single quote.How
    Challenge
    One of the hardest targets we've worked on. Fully HTML-based — every single data point requires loading a page, filling a form, solving a reCAPTCHA v3 (which fails 50–70% of the time), then editing and resubmitting a second form with another reCAPTCHA. On top of that, the site fingerprints mouse movement and IP address.
    Solution
    We built an end-to-end pipeline that handles the multi-step form flow, manages the high CAPTCHA failure rate with intelligent retry logic, and presents consistent fingerprints and natural interaction patterns throughout.
  16. 16PODSContainer StorageConsistent pricing data through Cloudflare — without constant token regeneration or IP churn.How
    Challenge
    Protected by Cloudflare with strict IP quality checks — standard proxies are blocked immediately, and the site requires a session token generated from a rendered page before any pricing request can be made.
    Solution
    We discovered the token is reusable across sessions, so we generate it once per cycle and replay it for every subsequent request. Access is maintained through a curated proxy pool selected specifically for this target.
  17. 171-800-PACK-RATContainer StorageReliable weekly pricing with minimal page loads — one token generation powers an entire week of data collection.How
    Challenge
    A hybrid target — half HTML-based, half request-based. Pricing data sits behind a token that can only be generated by rendering the page, not through direct API calls.
    Solution
    We discovered the token is reusable over extended periods, so we register it once per week and replay it for every subsequent request — turning an HTML-dependent flow into lightweight API calls.
Your industry

Tell us your industry. Odds are we’ve already built for it.

Send us the platforms and the data you need. If we’ve worked the space, we’ll show you exactly what we pulled and how. If it’s new, we’ll tell you honestly what it takes.