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DL-BLD-02 · Build / Marketplace data extraction

Amazon seller data, extracted on schedule

We move Amazon seller data and wider marketplace data out of SP-API reports, the Ads API and public listings into your own warehouse, on a schedule that respects every rate limit.

Discuss a project Scope
01INTEGRATIONSEvery channel you sell on02SAAS PRODUCTSFor sellers and agencies03AUTOMATIONCustom-product workflowsFIG. 03 · BUILDDL-BLD-02
  1. 01IntegrationsEvery channel you sell on
  2. 02SaaS productsFor sellers and agencies
  3. 03AutomationCustom-product workflows

Where Amazon seller data gets stuck

  1. 1.

    Seller Central reports downloaded one by one, by hand.

  2. 2.

    Throttled APIs that make naive scripts miss rows or time out.

  3. 3.

    Competitor prices, Buy Box and reviews in no API you own.

  4. 4.

    Exports scattered across spreadsheets nobody fully trusts.

SP-API reports, Ads API reports and public marketplace pages are pulled by a scheduler that respects rate limits, cleaned and deduplicated in an extraction pipeline, and loaded into the client's own warehouse and exports.YOUR INFRASTRUCTUREreport requestspaced by robots.txtraw dataETLfilesSP-API REPORTSOrders / inventory / financeADS APICampaign reportsPUBLIC PAGESPrices / Buy Box / reviewsSCHEDULERQuotas / backoffEXTRACTION PIPELINEClean / dedupe / loadWAREHOUSESQL / PostgreSQL / RDSEXPORTSCSV / Excel / Sheets
Fig. 02Scheduled extraction pipelineSP-API reports, Ads API reports and public marketplace pages are pulled by a scheduler that respects rate limits, cleaned and deduplicated in an extraction pipeline, and loaded into the client's own warehouse and exports.Scale NTS

What the engagement covers.

  1. 01

    Amazon reports via SP-API

    Orders, inventory, sales and finance reports pulled on schedule and loaded once, without duplicates.

  2. 02

    Advertising data

    Amazon Ads API reports pulled alongside sales data, so spend and revenue sit in one model.

  3. 03

    Price and Buy Box tracking

    Lowest prices and Buy Box winners tracked per ASIN, delivered to a dashboard or by email.

  4. 04

    Reviews and search terms

    Review text and marketplace keywords collected for product, listing and SEO decisions.

  5. 05

    Collection at scale

    Many collectors in parallel, proxy rotation, dynamic pages, and request rates kept within each site's rules.

How it runs.

  1. P01

    Consult

    We agree which data to extract, how often, and where it should land.

  2. P02

    Develop

    We build the pipeline, with progress reported by a dedicated project manager.

  3. P03

    Implement

    Deployment, then training for your team on the outputs.

  4. P04

    Maintain

    Sources change. We keep extraction running and add data points when needed.

What you get.

ItemDeliverableQty

  1. 01Scheduled extraction jobs with an ETL into your database1
  2. 02Outputs in CSV, TSV, Excel, XML, MySQL or MSSQL1
  3. 03Source code and project files, owned by you1
  4. 04Maintenance as sources and APIs change1

Stack10

  • Amazon SP-API
  • Reports API
  • Amazon Ads API
  • AWS Lambda
  • Node.js
  • TypeScript
  • PostgreSQL
  • MySQL
  • MSSQL
  • Google Sheets

Related projects.

  1. DL-012Data extraction for a global drivetrain supplierDana Inc. · USA03Build
  2. DL-008Custom software for tracking prices and BuyBox winnersBolt About · USA03Build
  3. DL-005Monitoring tool for Amazon algorithm researchUniversity of Bologna · Italy03Build
  4. DL-011Google Sheets automation for a bookkeeping companyRidge Paragon · USA03Build
All case studies

Questions engineers ask us.

Q01Extraction or integration: which do I need?

Extraction moves reports and market data one way, out of marketplaces and into your warehouse for analysis. Integration keeps operational systems such as an ERP or WMS in continuous sync with marketplaces. Many projects need both.

Q02Do you use the SP-API or scraping?

Official APIs first: SP-API reports and the Ads API for your own account data. Public data that no API exposes, such as competitor prices, is collected from public pages at a pace that respects each site's robots.txt.

Q03Do I need a custom pipeline, or is DataDoe enough?

For your own Seller Central, Vendor Central and Amazon Ads data, DataDoe, a Deltologic product, already delivers it in one schema with BigQuery and exports. A custom pipeline makes sense for competitor data, non-Amazon sources or rules DataDoe doesn't cover.

Q04In which formats can you deliver the data?

CSV, TSV, Excel, MS Access, MySQL, MSSQL, XML or plain text, or an ETL pipeline that loads straight into your internal database.

Q05Can you collect competitor product, image and price data?

Yes, from the public sites you choose: product information, images and pricing.

Q06What does data extraction cost?

It depends on the number of sources, the number of records, how deep each extraction goes, the structure of each site and how quickly it responds. We estimate it for free.

Related services.

Get your data out

Tell us which data you need and where it should land. We'll estimate the pipeline for free.

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