Web data extraction
Public web sources — listings, reviews, search results, marketplaces. Scheduled crawls with anti-bot handling and selector-drift monitoring.
Web → Excel use case →Outsourcing
Outsource data extraction services.
Web, PDF, and document data extraction handled end to end. You define the schema and the schedule; we run the pipeline, the proxies, the monitoring, and the compliance review. CSV, JSON, or direct integration into your stack.
What we cover
PDF & document extraction
Invoices, contracts, statements, reports — parsed into structured CSV / JSON. OCR for scanned content, schema validation, confidence scores.
PDF extraction details →Vertical-industry datasets
Healthcare, financial, real estate, travel — built from public sources with industry-aware compliance scoping.
Vertical examples →Custom integrations
Direct push to your ERP, CRM, BI, or warehouse. CSV / Excel / JSON / Parquet / database all supported as native delivery formats.
Delivery options →Why teams outsource to us
- No internal scraping infrastructure to maintain
- Anti-bot, proxy, and monitoring all included
- Compliance scoping and data lineage on every delivery
- Fixed monthly cost, not per-request billing
- Sample-first engagement — no commitment until you approve
- One vendor for web, PDF, and document extraction
FAQ
Why outsource data extraction instead of building in-house?
Three reasons. Total cost of ownership: an in-house pipeline isn't one engineer — it's engineering, proxy infrastructure, anti-bot handling, on-call response, and compliance scoping. Time-to-value: outsourced engagements typically deliver structured data within a week; in-house builds often take a quarter. Focus: data extraction is rarely a strategic differentiator unless you're a data company. For most teams, it's a means to an analytics or product end.
When does in-house make more sense?
When the data is your moat. If extraction is the product (a competitive intelligence platform, a market data vendor, a search engine), owning it makes sense. If extraction is the input to a different value-creating process (analytics, ML, ops automation), outsourcing is usually cleaner.
Pricing model?
Fixed monthly contracts scoped by complexity, not request count. Volume changes within an agreed band are absorbed; structural changes are renegotiated openly. No per-call surprise invoices.
Onboarding timeline?
Free scoping call to first sample CSV: 1–3 business days. Sample-approved to first scheduled delivery: typically within a week. Complex multi-source pipelines or custom integrations may add a week or two.
Compliance & data security?
Public-data default, NDA before sample, encrypted at rest, defined retention windows, no model training on client data. SOC 2 reports under NDA. BAA available for in-scope healthcare engagements. Full compliance posture documented with each engagement.
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