Data extraction for payments and fintech.
Merchant prospect data, competitive payments intelligence, and ISO portfolio data extracted from financial services portals and industry databases.
Industry challenges.
- Fragmented merchant data Merchant and ISO data is spread across payment processor portals, association directories, and regulatory filings with no unified access.
- Competitive intelligence sensitivity Pricing and portfolio data from competitors is spread across publicly listed directories, rate-limited portals, and JS-heavy comparison sites.
- Data volume and normalization Building comprehensive merchant databases requires extracting from dozens of sources and normalizing into a single usable schema.
Our approach.
We build extraction pipelines for payment processor portals, merchant directories, and financial industry databases. Each pipeline handles source-specific authentication and rate limiting. Output is normalized into your schema and delivered to your analytics or CRM infrastructure.
Delivery.
Structured merchant and competitive data delivered to BigQuery, database, or CSV. Weekly or monthly refresh cadence.
Merchant prospect data pipeline for a payments intelligence team.
A payments intelligence team needed structured merchant and ISO data from multiple financial services portals and industry databases. We built extraction pipelines that deliver normalized prospect records into their BigQuery warehouse on a weekly cadence.
Tell us what you need to extract.
Describe the sources, schema, and cadence. We'll reply with a scoped quote within 48 hours.
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