datawebot is an ecommerce data extraction product that turns supported store URLs into structured product data for analysts, commerce teams and developers.
It is operated by Magpie Intelligence Pte. Ltd. in Singapore. New accounts receive 100 trial credits, and standard source pages cost one credit per visit.
Submit a supported store, collection or product URL to collect source-reported products, variants, prices and availability. The resulting records keep product and variant relationships intact for catalog and pricing work.
Explore extractionInspect results in the workbench, download CSV or JSON, or retrieve paginated results through the HTTP API. Each result includes source context so files and applications can trace where values came from.
Inspect the data schemaChoose which pages to visit and set a hard page and credit budget before a run starts. Storefront availability varies by source; a directory or guide page describes a source but does not itself mean its adapter is enabled.
See input controlsOne standard source page costs one credit whether it returns one product or many. The estimate shows the maximum before submission, and the run summary accounts for pages actually visited.
New accounts receive 100 trial credits without a card. Runs have separate follow controls and hard page and credit budgets, currently capped at 25 each.
Results retain product identifiers, variant options and SKUs where the source provides them. A missing value stays empty rather than being filled with a guess.
Records include source URLs, retrieval times, currency and completeness notes. That context helps analysts check a price or availability observation before using it downstream.
Use the workbench to inspect and export a run, or use the documented HTTP API to estimate, start and retrieve it. If you are also evaluating Apify or Bright Data, compare the supported sources, output fields and page budget for your exact job.
See the current credit rates and source controls before starting a run.
datawebot is operated by Magpie Intelligence Pte. Ltd. in Singapore. The team builds and supports the extraction product, its API and the documentation used to inspect results.
For a question about the company or a specific request, contact the team. Follow datawebot on X and Instagram.
Sign in, submit a public store, collection or product URL, and review whether the source is currently supported.
Choose follow controls and a hard page and credit limit. Review the maximum estimate before authorizing the run.
Return to the saved run as it processes. When ready, inspect products and variants, review warnings, and export CSV or JSON within seven days.
Use the documentation for setup and troubleshooting, or email hello@datawebot.com with an extraction ID or source URL. Response and turnaround times depend on the request.
datawebot is an ecommerce data extraction product that turns supported store URLs into structured product data for analysts, commerce teams and developers. It is operated by Magpie Intelligence Pte. Ltd. in Singapore.
For supported storefronts, datawebot collects source-reported products, variants, prices and availability within the scope you choose. Available fields depend on what the source exposes.
No. Source pages and guides describe possible data and use cases. The product checks current source support before a run is accepted.
New accounts receive 100 trial credits. Standard source pages cost one credit per visit, with prepaid top-ups and a hard budget shown before a run starts.
Yes. The HTTP API lets you estimate a request, create a run, check its state and retrieve paginated results. The same source availability and credit rules apply.
Email hello@datawebot.com for account, extraction and billing help. Include the extraction ID or source URL when relevant so the team can locate the issue.
No. datawebot gives new accounts 100 trial credits and sells one-time prepaid top-ups starting at US$10. There is no subscription or automatic recharge.
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