If someone on your team copies data by hand, checks the same websites every morning, or you pay for lists that are stale on arrival, a custom web scraping pipeline replaces that work. It gathers the records you need, removes duplicates, adds the missing fields and drops the result into your CRM, database or spreadsheet.
What our data pipeline services include
- Source integrations — APIs and permitted website collection, with rate limits and clear source ownership
- ETL & deduplication — clean, structured, deduped records, not raw mess
- Enrichment — third-party APIs to add the fields that make data actionable
- Scheduling & alerts — runs daily on its own, with summaries and failure alerts
- Delivery — straight into your CRM, database, spreadsheet, or dashboard
Web scraping for lead generation
For a real-estate investment client, dozens of US county court and sheriff sites used to be checked by hand every morning. The replacement is a daily Playwright pipeline with proxy rotation that harvests new filings, dedupes them, enriches them through skip-trace APIs and pushes only qualified leads into the CRM. It sends a daily summary and a failure alert, so a broken source is noticed the same morning. It runs fully unattended.
Market research and search data pipelines
For a market-intelligence client, the job was structured infrastructure-project data across 27 countries. The pipeline runs 2,046 queries through SerpApi (Google Search and AI Overview), handles CAPTCHAs, parses the results and batch-processes them with OpenAI into one queryable dataset, replacing weeks of manual research. Both systems are on the case studies section of the home page.
What happens when a source changes?
A reliable pipeline checks more than whether a job finished. We define required fields, duplicate rules and delivery checks before the build. If a source stops returning usable records, the workflow should flag the failure instead of silently delivering an empty spreadsheet.
What to bring to a scoping call
- One example input and the output your team needs.
- The source systems and how often records change.
- Where the finished records should arrive.
- The exceptions that need a person's judgment.
Related reading: how to scope invoice automation with review and export steps, and when n8n or Zapier is enough and when an automation should be custom code.
Who it's for
Lead-generation businesses, market-intelligence teams, data aggregators, and operators who need fresh, structured data on a schedule without hiring a data team.
Frequently asked questions
Is web scraping legal?
We focus on publicly available data and respect site terms, rate limits, and applicable laws. We'll flag anything that needs a different approach before we build it.
How is the data delivered?
However you want it — CRM (e.g. GoHighLevel), database, Google Sheets, an API, or a dashboard.
What does it cost?
Pipeline projects start at $6,000 depending on complexity. You'll get a fixed quote after a free scoping call, or try the cost calculator first.
Related services: AI development · AI MVP development · AI chatbot development.