Hire an n8n expert for automation that keeps working
Workflows, integrations and scraping pipelines built to survive rate limits, layout changes and partial failures, then handed over with the source and the run sheet.
What we build
Scraping & collection
Product catalogs, prices, listings, public records, search results. Pagination, proxy rotation when needed, backoff on rate limits, and a parser that fails loudly instead of writing garbage.
Cleaning & enrichment
Normalizing messy fields, deduplicating, matching records across sources, filling gaps from public data: output in one shape your tools can actually use.
Integrations & workflows
n8n, Make.com and Zapier where they fit; plain scripts where they do not. Payments, order events, notifications, sheets, CRMs.
Operations
Schedules, retries, run logs, alerting to email or chat when something stops. Monitoring is optional and you can switch it off.
What you get
- The working pipeline, deployed and running on a schedule
- Source code in a repository you own, with a readable commit history
- A run sheet: how to start it, stop it, change the schedule, re-run a failed batch
- A short note on what will break first and what to do about it
- 30 days of fixes for anything that misbehaves through no fault of yours
Typical ranges: a single workflow $250–1,000 · multi-step integrations $1,000–3,000 · scraping and enrichment pipelines $700–4,600. Quoted fixed after we see the source data.
What we need from you
A sample of the input (a URL, an export, two screenshots of the target system) and one sentence on what should exist when it works. That is enough for us to quote. We ask for access to a test account rather than production where possible.
Usually looked at together
Technical SEO
Most of these builds also need the site crawled, measured and indexed properly.
Selected work
Pipelines and systems, described by architecture rather than screenshots.
Price ranges
What a scope like this typically costs and what is never included.
Common questions
- What counts as one workflow? One repeated job with a start and a finish — a feed that has to land in a sheet, images that have to be filed and resized, a digest that has to go out. If two jobs depend on each other's output, price it as a pipeline.
- Which tool will you use? n8n, Make or Zapier when they fit and you can keep maintaining them; a small script with a schedule when the job needs logic they cannot express. We say which and why in the proposal, not after the build.
- What happens when it breaks? It tells you, in the channel you already read, with the line that failed. A run that reports success while doing nothing is the expensive kind of failure, so failure detection is part of the build, not an extra.
"Successful" is not the same as correct
Automation tools will happily record a run as a success while the actual work failed: a field silently empty, a page that returned a login wall, a file that saved with the wrong name. It is a configuration choice, and a rushed build usually gets it wrong.
So the checks are part of the build, not an upgrade: a row count compared against the source, a rule for what "looks wrong", and an alert to the channel you already read with the line that failed.
What that means in the repo
- A run log you can open and read without us
- Retries, and a clear stop after the last one
- Failure alerts that name the step, rather than a bare "job failed"
- Idempotent steps, so a re-run does not double a record
- A dry-run mode against a copy before it touches live data
Every one of these is verifiable in the handover: you can re-run it, break it on purpose, and watch the alert arrive.