ScrapingBuddy
Data extraction

We scrape what others can't.

Anti-bot systems, authenticated sessions and encrypted app traffic — reverse-engineered into one monitored pipeline.

  • Cloudflare, DataDome, Akamai & captchas
  • Authenticated sessions & signed requests
  • Monitored and maintained as sources change

Free feasibility check — an honest read on any source, no commitment.

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Standard vs advanced

Most scraping work is routine. We are built for the rest.

Included as standard
  • Pagination & infinite scroll
  • JavaScript rendering & dynamic pages
  • Public & documented APIs
  • Standard mobile app traffic
  • Scheduled recrawls & backfills
  • Schema mapping & exports

Where we earn our keep

Advanced extraction we engineer for.

Commercial anti-bot systems

Cloudflare, DataDome and Akamai — handled by design, not by retry loop.

Captcha-heavy flows

Journeys that challenge repeatedly, kept running end to end.

Login, session & token systems

Authenticated access that rotates, refreshes and expires — on accounts you are authorised to use.

Web & app API reverse engineering

The same interface the official client uses — the most stable layer.

Signed & encrypted traffic

Request signing and encrypted app payloads — on sources you are authorised to access.

Sources that change underneath you

Layout rewrites, API versions and new protections — detected, then repaired.

When to use us

Bring us the source that keeps failing.

This service is for extraction jobs where normal tools are not enough: protected websites, app-only data, authenticated sources, unstable APIs or scrapers that keep breaking.

Your scraper gets blocked

Cloudflare, DataDome, Akamai, CAPTCHAs or rate limits stop collection before it completes.

The data is behind login or session flows

Access depends on authenticated sessions, rotating tokens, permissions or account-specific views.

The data only exists in an app

Mobile app APIs, TLS pinning, signed requests or encrypted payloads need reverse engineering.

The source changes often

Layouts, endpoints, payloads or protections shift, and the scraper needs active maintenance.

Generic tools miss fields or records

The easy page data is visible, but key fields load through hidden APIs, tabs, filters or detail views.

You need production reliability

Monitoring, retries, alerts, QA and maintenance matter more than a one-off scrape.

What we extract

Structured data of every kind.

Product data, pricing, reviews, listings and more — pulled into one consistent, queryable shape.

Product catalogues

SKUs, specs, images and variants

Pricing & discounts

Prices, sale prices and availability

Reviews & ratings

Scores, text, author and date

Ticket listings

Events, dates, seats and prices

Job postings

Roles, companies, salaries and location

Real estate

Listings, prices, features and geo

Marketplace inventory

Sellers, stock levels and prices

Public profile data

Public fields, where permitted

Your data type not listed?

Tell us the source and the fields you need — we will tell you if we can reach it.

Ask us

Websites & apps

If it runs on a website or in an app, we can extract it.

Rendered page, private API or app backend — we take whichever route into the data holds up over months, not whichever is quickest to stand up.

Core service

Websites

From straightforward pages to heavily protected platforms — we collect the records you need, whatever the site puts in the way.

Capabilities

Product pagesListingsSearch resultsDashboards
Core service

Mobile apps

Data that never reaches a webpage at all — read from the traffic between the app and its backend, on apps you are authorised to analyse.

Capabilities

AndroidiOSApp-only dataIn-app pricing

How it works

From protected source to maintained scraper.

We map the data you need, analyse how the site or app really serves it, reverse-engineer the requests, handle protections, extract clean records, then monitor and maintain the scraper when the source changes.

  1. 01

    Map the data you actually need

    We define the exact records, fields, coverage and refresh rate your use case needs, then map them into a clean schema before engineering the scraper.

    fieldscoveragecadenceschema
  2. 02

    Analyse how the source serves data

    We watch the real thing run — the browser's network traffic, the app's calls to its own backend — to find where the data genuinely originates and which route into it is the most stable.

    network captureapp trafficrender pathendpoints
  3. 03

    Reverse-engineer the requests

    Private APIs, session handling, token refresh and request signing. We reverse-engineer how the official client talks to its backend, then reproduce the request flow correctly and predictably.

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  4. 04

    Engineer through the protections

    Anti-bot systems, challenge flows and rate limits are treated as an engineering problem — understood per source, then handled with a dependable, low-impact route that keeps the feed flowing.

    CloudflareDataDomeAkamaicaptchas
  5. 05

    Structure and validate every record

    Raw responses become clean, typed, deduplicated records — validated against your schema and formatted exactly how your stack expects, ready to use the moment they land.

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  6. Production pipelineLive

    Monitor and maintain it as sources change.

    Sources get redesigned, APIs change, tokens expire and protections are upgraded. We monitor each pipeline, diagnose failures quickly, and update the scraper so delivery can resume cleanly.

    Monitoring active
    Drift detection
    Fast diagnosis
    Maintained by engineers

Reliability

Scrapers rarely fail on day one.

They fail weeks in, quietly — a layout shifts, a token expires, a protection is upgraded. Here is what we watch for, and what we fix when it happens.

When the source changes

Rare, and the reason most scrapers quietly die.

Schema & layout drift

Structural changes detected before they quietly empty your feed.

API & endpoint changes

Versions move, parameters change or endpoints disappear; we diagnose and update the client.

Protection changes

When a source upgrades anti-bot rules, challenges or rate limits, we rework the extraction route.

Token & session expiry

Session refresh, credential rotation and re-authentication handled as part of the pipeline.

On every run

The routine checks that keep each delivery clean.

Retries with backoff

Transient failures retried safely instead of silently dropped.

Field validation

Types, formats, ranges and required fields checked on every run.

Duplicates & missing data checks

Duplicates removed on your keys; gaps flagged for review instead of hidden.

Monitoring, alerts & QA

Run health, record counts and anomalies watched, with human review where needed.

Optional add-on

Want it enriched, not just extracted?

Extraction already hands you clean, validated records. If you also need them classified, matched and interpreted, we can run that with AI in the same managed pipeline — no second vendor.

  • Classify & tag

    Categories, labels and business-specific tags.

  • Attribute extraction

    Structured fields pulled from messy text.

  • Entity matching

    Reconcile the same entity across sources.

  • Summaries & signals

    Summaries and the signals you act on.

  • Human QA

    Confidence thresholds and human review.

Just mention it in your feasibility request below — same review, same pipeline.

Start with the hard source

Request a feasibility review

Tell us the source and the data you need. We'll review the site, app or API, then follow up with the best extraction approach, risks and next steps.

  • Source reviewed by an extraction specialist
  • Sample data when the source is accessible
  • Clear recommendation before any commitment

Prefer email? sales@scrapingbuddy.com

No spam. A real person will review your request and reply.