Guides
Work with ecommerce data deliberately.
Start with the source, preserve its structure and provenance, then use the output in the workflow you choose.

Public product or collection URL
GuidePrice monitoring for ecommerceSame source + variant at two times
GuideEcommerce data for market researchSource list + market + category
GuideWeb scraping vs official APIsRequired fields + source ownership
GuideBuild a product price history databaseDated product/variant JSON
GuideProduct data enrichmentExisting SKU + source product record
GuideTrack competitor pricingSource records from each retailer
GuideAmazon seller data extractionExact Amazon marketplace URL
GuideRobots.txt and legal considerationsSource URL + intended use
All guides
Browse the complete learning library.
A product-data loop for your agentScope an Amazon data requestBigCommerce and competitor dataBuild a product price historyProduct categorization with CoherePrepare product data for CopilotPrepare ecommerce inputs for DataboxPrepare inputs for a pricing decisionBuild an inspectable research datasetProduct evidence for image-generation briefsSeparate social signals from product factsFrom a storefront to price recordsHandle source limits and failed retrievalJoin review data to product recordsSeparate catalog data from customer segmentsKeep analytics events and product observations distinctA bounded ecommerce task for OpenClawPrepare evidence for ecommerce researchEcommerce price monitoring: build a reliable comparison seriesEnrich a catalog with source evidencePrepare a comparable pricing datasetReview a source before collectionProduct facts for a video briefMap product observations into a data pipelineScope a Shopee product requestCompare prices across retailersPlan a review-data requestChoose an API or public extractionKeep evidence for a MAP reviewPlan WooCommerce product extractionMap catalog facts for a publishing workflowBring product evidence to support work
Start with a URL.
Start there. Choose the scope and review the cost before it runs.