Crawler Connectors for AI Supplier Matching
The public connector layer explains how web results public datasets supplier directories and partner webhooks normalize into a consistent intent-ready shape for AI supplier matching It intentionally does not include private source seeds production search templates anti-blocking tactics or abuse controls
Connector Contract
- Input:
source,fetch_context,raw_payload - Output: normalized company record, contact hints, provenance, freshness, and extraction confidence
- Downstream handoff: convert candidate records into supplier or buyer intent candidates for review
Skincare Packaging Example
A North American buyer may ask for low-MOQ skincare packaging with airless pump bottles, PCR material options, bilingual label support, and export experience with cosmetics buyers. A crawler connector should not simply store a supplier page as text. It should extract reviewable signals:
- product capability: airless bottles, jars, tubes, caps, pumps, and decoration methods
- commercial fit: MOQ bands, tooling requirements, sample availability, and customization limits
- market fit: North America export history, cosmetic packaging compliance language, and English response readiness
- evidence: source URL, crawl date, quoted claim, confidence score, and whether human review is required
This normalized output can then be compared with the buyer intent schema and scored by the match engine framework. The public examples are available in the MapleBridge Open sample payloads on GitHub.
What This Page Is For
This page is for builders evaluating how to connect public supplier signals to a matching workflow without copying MapleBridge production infrastructure. Use it with the MapleBridge Open overview, the open-source B2B matching protocol guide, and the buyer-facing matching platform guide.
Why Keep It Abstract
A public connector SDK helps builders plug in their own sources. Production source lists, crawl cadence, anti-spam heuristics, and filtering rules remain private because they materially affect marketplace quality and operational safety.