Managed Web Data Operations · Since 2019

Managed Web Scraping Services. We run the pipeline. You get data on a schedule.

Custom, AI-enhanced scraping pipelines built and operated for teams that need structured data delivered recurring, not one-off exports from a dashboard.

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Recurring engagements across

  • Cooperative advertising verification
  • Visual brand intelligence
  • CPG product innovation AI
  • SEA ecommerce marketplaces
Since 2019
Running production scraping stacks
~1,680/mo
AI-audited dealer reports delivered monthly
Fortune 500
Auto, retail & CPG brand coverage
From $500
Recurring engagements, per month

Why managed

Not a tool. A team that ships data.

Self-serve scraping APIs are great until your use case gets specific. You need authentication behind a login wall. You need visual inspection of a screenshot, not just the HTML. You need multilingual extraction across 20 geographies where the page structure changes per-country. You need a delivery format your vendor's dashboard doesn't support. Every generic tool hits a wall at the 80% mark.

In-house engineering works until the site you rely on changes on Monday morning. Your team is debugging XPath selectors instead of shipping your actual product. You hire a scraping engineer, then another one to cover vacations, then a third when volume grows. Three months in, you have a sub-team maintaining infrastructure you never wanted to own.

We've been running this since 2019. For a century-old US cooperative advertising verification bureau processing ~1,680 dealer audit PDFs a month. For Fortune 500 CPG brands auditing imagery across Amazon, Walmart, and DTC channels. For deep-tech AI startups feeding multilingual consumer signals into product innovation models. For Southeast Asia marketplace enablers tracking daily seller dashboard metrics on platforms that don't expose APIs.

You send us URLs and a schema. We return structured data on a schedule, with human QA and SLA-backed delivery. No dashboards for you to learn. No selectors for your team to maintain. No 3am pages when the site changes its DOM.

How we build

Custom pipelines, managed infrastructure.

The scraping layer is an engineering problem. The reliability, monitoring, and data-quality layer is an operations problem. Most tools solve one and pretend the other doesn't exist. We run both.

AI visual inspection

Screenshot-based analysis against brand guidelines, compliance rules, or visual similarity thresholds. Pipeline renders the target page in a real headless browser, captures viewport + full-page images, runs inference against a tuned vision model, and returns structured flags with bounding boxes. Powers the ~1,680 dealer audits we ship monthly.

LLM extraction

Unstructured page content → structured JSON at scale. Handles template drift, multilingual variants (20+ locales in current engagements), and pages where selectors break every week. Schema is versioned, so downstream consumers can pin to a known contract while we roll changes behind it.

Managed scraping infrastructure

Rotating residential + datacenter proxies chosen per-target. Browser fleet for JavaScript-heavy sites. CAPTCHA resolution where legally appropriate. Automatic retries with exponential backoff. Per-target monitoring that alerts us (not you) when extraction success rate drops below threshold.

Human QA

Automated QA gates every recurring delivery: schema conformance, null-rate thresholds, duplicate detection, row-count deltas against historical baseline. Anything outside tolerance triggers a human review before delivery hits your inbox. If it fails QA, we re-run before you see it.

Verticals

Where we do this work.

Not a list of logos. A list of the jobs-to-be-done our current engagements solve, with the specifics behind each one.

Ad Verification

Dealer site audits, co-op compliance, brand-guideline enforcement

Every month our team delivers ~1,680 dealer audit PDFs for a century-old US cooperative advertising verification bureau. The engagement replaces a manual audit workflow that didn't scale to the digital channel shift.

Fortune 500 CPG

Ecommerce imagery, marketplace listing intelligence, visual brand compliance

Visual brand intelligence platforms serving P&G, Mondelez, PepsiCo-shape buyers need high-resolution primary-image scraping across Amazon, Walmart, and DTC channels. We deliver recurring feeds with structured metadata and confirmed turnaround.

AI Platforms

Training data pipelines, real-time input feeds, multi-language extraction

AI product teams need web data as input, not a side project. We build the extraction layer so their engineers stay on their core model. Current engagements span 20+ geographies and multiple languages.

Retail Intelligence

Competitor tracking, SERP snapshots, daily price monitoring

Retail ops teams get overwhelmed tuning SERP scrapers when Google changes its DOM for the third time in a quarter. We handle the drift; they get a daily CSV or webhook that just works.

Marketplace Intelligence

Seller data, product feed monitoring, review extraction

Southeast Asia marketplace enablers need daily short-form-video seller dashboard metrics across platforms that don't expose APIs. We treat the dashboard itself as the data source.

Franchise & Compliance

Multi-location audit, disclaimer checks, legal copy verification

Franchise legal teams need to verify that every dealer, location, or authorized reseller is running the approved disclaimer text. Our pipeline flags drift per-location, not as a spot check.

How we engage

From intake to recurring delivery in 2–4 weeks.

Every engagement moves through the same four stages. No handoffs. You work directly with the founder and engineering team from scoping call to production delivery.

  1. Day 0–2 · Scoping call

    30-minute call with the founder.

    You walk us through the target sources, the data you need, cadence, volume, and delivery format. We walk you through feasibility, legal posture, and a ballpark quote. Usually ends with "yes we can do this" or "here's a cleaner way to cut it." NDA-friendly. Standard practice.

  2. Week 1 · Build

    Pipeline built and tested on your URLs.

    Custom scraper + extraction layer tuned to your schema. Proxy strategy chosen per-target. First sample delivery sent for you to eyeball the data quality before we turn on recurring. Schema and delivery format locked during this stage.

  3. Week 2–3 · Production

    Recurring delivery starts.

    Pipeline goes into our production scheduler. Automated QA gates every run. Human review of any delivery that falls outside tolerance before it hits your inbox. Monitoring alerts us (not you) if a target site changes or extraction success rate dips.

  4. Ongoing · Operations

    We run it. You receive it.

    Site changes happen. Proxies get blocked. We handle the drift and re-tune within 48 hours at no additional cost. Quarterly check-ins to align on volume, new targets, or schema changes you want downstream.

The real managed value

When the site changes, you don't notice.

Target sites change their DOM, their pagination, their anti-bot strategy, their URL structure. In our world, every recurring target experiences a material change every 2–6 weeks. That's not an edge case. That's the baseline.

Our per-target monitoring flags extraction success rate drops within the first run after a change. The on-call engineer re-tunes the pipeline within 48 hours. Schema versioning keeps your downstream consumers pinned to a known contract while we roll the fix behind it. If the fix takes longer than 48 hours (rare), you get a status update, not a surprise gap in your delivery.

This re-tuning is included in every recurring engagement. No additional invoice. No scope negotiation. It's the reason managed services exist.

Delivery

In your format. On your schedule.

We don't have a "our dashboard only" delivery posture. The data lands where your pipeline expects it, in the shape your consumers already parse.

PDF reports

One report per unit of audit (per dealer, per product, per location). Rendered from a template we co-design with you. Structured cover page, findings with visual evidence, appendix with raw data. Delivered monthly as a zipped batch or individually via webhook. The ad verification engagement ships ~1,680 of these a month.

CSV / JSONLines feeds

Daily, weekly, or hourly feeds with versioned schema. Columns and types stay stable across deliveries (breaking changes are versioned and announced). Diffs and inserts-only formats available if your pipeline deduplicates downstream.

S3 / GCS drops

Write to your bucket with your credentials, your partitioning scheme (dt=YYYY-MM-DD/source=target or whatever your Athena/BigQuery layer expects). One file per delivery or partitioned by run. Retention policy lives with you, not us.

Webhooks / custom APIs

Real-time or near-real-time delivery via POST to an endpoint you control. Signed with HMAC. Retries on failure. Good fit for AI platforms consuming live signals or compliance systems triggering downstream workflows on each event.

Compliance + security

Enterprise posture without enterprise paperwork overhead.

Legal posture on scraping

We only scrape publicly available data, respect robots.txt where applicable, and advise clients up-front when a project would need additional legal review. Regulated verticals (healthcare, finance, EU data) get compliance scoping as part of the engagement.

NDA + contracting

NDA-friendly. Standard practice before scoping calls if you prefer. MSA + SOW for enterprise engagements. Procurement-friendly (we've been through Fortune 500 vendor onboarding).

GDPR + SOC2-ready practices

Data handling follows SOC2-ready controls: encryption at rest and in transit, access logging, principle-of-least-privilege on internal tooling. GDPR compliant for EU customer data. DPA available on request.

Data residency + retention

Data residency options available for enterprise engagements (US/EU/SG). Retention policy defined in the SOW: default is we don't retain your delivery data beyond 30 days past delivery confirmation, unless you ask us to.

Pricing

Custom scoping. Recurring only.

We don't do one-time scrapes. We don't have a per-seat subscription tier. Every engagement is scoped to your volume, cadence, and delivery format, then priced as a recurring monthly retainer.

Starting at USD 500 per month. Minimum commitment applies. Illustrative ranges below, not contractual.

Small

USD 500–1,500 / mo

  • Weekly recurring
  • Single-source, single schema
  • Up to 50K pages / mo
  • CSV or JSON delivery
  • Standard 48h site-change SLA

Medium Most common

USD 1,500–5,000 / mo

  • Daily recurring
  • Multi-source, multi-schema
  • Up to 500K pages / mo
  • CSV, JSON, S3/GCS, or webhook
  • AI extraction included
  • Standard 48h site-change SLA

Enterprise

USD 5,000+ / mo

  • Custom cadence (hourly / real-time available)
  • Multi-region, multi-language
  • Volume at your scale
  • Any delivery format + custom PDF reports
  • Visual AI inspection + human QA
  • Custom SLA with escalation paths
  • Data residency + compliance reporting
Get a quote in 24 hours

Every project priced on scope. Ranges above are illustrative.

FAQ

Questions we get a lot.

What's your legal posture on scraping?

We only scrape publicly available data, respect robots.txt directives where applicable, and advise clients up-front when a project would require additional legal review. For regulated verticals (healthcare, finance, EU data) we handle compliance scoping as part of the engagement.

How do you deliver the data?

Your choice. We deliver via FTP, SFTP, AWS S3, Google Cloud Storage, email, Dropbox, Google Drive, or custom webhooks. Supported formats: CSV, JSON, JSONLines, XML, PDF reports, Excel. We're happy to match whatever your pipeline expects.

What if the website changes and our scraper breaks?

We monitor for schema drift and re-tune within 48 hours at no additional charge. This is included in every recurring engagement.

What's the SLA on recurring feeds?

Per-project, typically 99.5% uptime for feeds. Enterprise engagements can carry custom SLAs with escalation paths.

How fast can you start?

Scoping call within 48 hours of contact. Production feed typically within 2–4 weeks, depending on complexity.

Are you NDA-friendly?

Standard practice. Sign before the scoping call if you prefer.

Do you sell self-serve access to your scrapers?

No. We focus on managed engagements with recurring delivery. If you need self-serve, we can recommend alternatives.

What's the minimum engagement?

USD 500/month recurring, with a minimum commitment scoped per project. We don't do one-off projects.

Try before you scope

Two free tools you can run yourself. Before reaching out for managed.

Not every use case needs a managed engagement on day one. If you want to try something fast, our free Apify actors cover common cases and scale to reasonable volumes. When you hit a wall, we pick it up from there.

Proof

How this looks in practice.

Ad Verification · Cooperative Advertising

US cooperative advertising verification bureau Century-old, Fortune 500 auto + retail brand roster

1,680 AI-audited dealer compliance reports, delivered monthly.

A century-old US cooperative advertising verification bureau audits dealer ads against brand guidelines on behalf of Fortune 500 auto and retail brands. We replaced the human-intensive digital audit workflow with an AI pipeline delivering monthly compliance reports per dealer.

“This is our digital transformation showpiece. What used to take a room of auditors now runs overnight and we review exceptions.” — VP of Innovation, US cooperative advertising verification bureau
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