000 / E-Commerce
Product Feed Pipelines
Affiliate feeds, merchant centres, XML pain, all automated, all compliant, all monitored. So your ad revenue doesn't die at 3 AM because of a malformed upload.
001 / Deliverables
What you get
Three things that together take the daily-ops risk out of your ad revenue.
Pipeline with spec compliance
XML/CSV/JSON sources get mapped against the target spec (e.g. Microsoft Merchant Center). Including the ugly edge cases: empty mandatory fields, encoding issues, currency format. If something doesn't fit, the pipeline knows before the upload.
Monitoring + alerting
Per run: how many products in, how many out, what errors. On anomalies a mail (or Slack, or Telegram) goes out. You notice issues before the platform suspends you.
Recovery + reprocessing
If a run stalls: resume, don't restart. If a record is malformed: quarantine it, the rest flows through. No single point of failure.
002 / How it runs
How a pipeline gets built
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01
Discovery
Which sources, which target, which frequency, what hurts today. The last bit usually defines the most important feature.
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02
Spec mapping
Source fields mapped against target spec. Edge cases documented. You see the mapping in writing before the pipeline gets built.
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03
Build + tests
Pipeline code with unit tests for the mappings, integration tests for end-to-end runs. First test uploads go to a sandbox.
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04
Deployment + handover
Cron or trigger-based, with monitoring hookup. Source + operations docs for your team.
003 / Price
Per pipeline, with a clear scope
€3,500 is the entry for a pipeline: one source, one target, daily frequency, standard spec.
Multiple sources, multiple targets, or unusual specs (e.g. per-region tax) scale accordingly. Fixed figure comes after discovery, before you sign.
Pipeline package
One source, one target, daily frequency.
- Spec mapping in writing before the build
- Pipeline code with unit + integration tests
- Monitoring + alerting (mail/Slack/Telegram)
- Quarantine + recovery logic
- Operations docs + handover call (1 h)
Reply within 24 h
004 / Reference
What this looks like in practice
For an advertising agency in early 2026 I built a pipeline that syncs large affiliate feeds into Microsoft Merchant Center daily.
High-volume affiliate sync without babysitting
Connexity, Shopping24 → Microsoft Merchant Center. Parse XML/CSV, map against spec, chunked upload, monitor status. Compliant, fault-tolerant, with alerting when something breaks. Ad revenue runs without daily manual intervention.
Read the full case study005 / Frequent questions
What should be clear before signing
Which source formats do you process?
XML, CSV, JSON, Excel, REST APIs, FTP/SFTP drops. Edge cases like BOMs, unusual encodings or weird CSVs (e.g. tabs as separators and commas inside fields) are included.
Which target systems do you know?
Microsoft Merchant Center, Google Shopping, Meta Catalog, generic REST/GraphQL. For an unknown target I need 1-2 days of schema analysis up front, billed transparently.
Where does the pipeline run?
Small: local cron server or your infrastructure. Larger: AWS Lambda, ECS or similar. I set it up, or your ops team. We decide in discovery.
What if the source API breaks?
Retry with exponential backoff, then alert. The last successful state stays in the target, no data deleted. You catch the outage before it has visible effects.
Can you improve existing pipelines?
Yes. Audit the existing pipeline, identify pain points, targeted repair or replatform. Day rate or fixed price, depending on scope.
GDPR compliance?
Affiliate product data is usually not personal. If it is, e.g. user-generated reviews, we check in discovery and resolve with anonymisation if needed.
006 / Related services
Often booked alongside this service:
Migration
Legacy Data Migration & Reverse Engineering
Migrate data from legacy systems (Access, old ERP exports, undocumented schemas) into modern structures. With rule validation and a full audit trail.
Automation
Browser automation at production level
Browser automation that runs in parallel, fault-tolerant, without daily babysitting. Multi-worker with IPC, crash recovery, CDP-based auth.
A pipeline that needs too much babysitting?
Briefly describe source, target and frequency, I'll come back within 24 h with an estimate.
Send inquiry