We build the small tools around an Amazon business: pulling your sales and fee data into one place, keeping an eye on stock and competitor prices, and handling the repetitive spreadsheet work. The scope is written down and agreed before we start.
Tell us what you needSee example projectsWhat Amazon sellers tell us before a project starts.
Each one is a working piece you can open and check when it's done.
Orders, fees, ad spend and product cost pulled together, so you see profit per product, not just revenue.
Dashboards and reporting API integrations and data syncStock levels and sales speed turned into a reorder list, with a message when a product is about to run low.
Python scripts and utilitiesCompetitor prices, stock and listing changes checked on a schedule, with a daily summary of what moved.
Web scraping and data pipelinesScheduled reports from Seller Central brought into a sheet or database automatically, in the same layout each time.
Python scripts and utilities API integrations and data syncSupplier invoices and packing lists read into structured fields and matched to purchase orders.
PDF and document data extractionSettlement data summarised and sent to your accounting system in a form your bookkeeper can use.
QuickBooks, Xero and HubSpot integrationsAmazon sellers software we work with: Amazon Seller Central, Helium 10, Jungle Scout, ShipStation, Shopify, Keepa, Sellerboard.
And the general tools around it: Google Sheets, QuickBooks, Airtable, Slack, Zapier, Make, n8n.
Illustrations of the shape of the work, not past clients. Yours gets its own written scope.
Example project
Example: a seller with sixty products wants one page showing units, fees, ad spend and landed cost, so the weak products are obvious.
Seller Central reports, Google Sheets, a dashboardExample project
Example: a seller with a supplier lead time of six weeks wants a daily list of products that will run out before the next shipment could arrive.
Seller Central data, Python, emailExample project
Example: a seller watches ten rival listings. Each morning a short email lists price changes and out-of-stock rivals.
Scraper, a database, email
Example build
Python, Playwright, Scrapy, PostgreSQL, Shopify Admin API, Google Sheets API, Docker
We use the reports and access Amazon offers to sellers and follow the rules for that access. We tell you in the scope what is possible for your account and what is not.
Some data access needs one. We explain what is required before we start and do the setup with you.
You do. It runs in your own accounts, with notes on how it works.
Tell us what you sell, how many products, and the report you wish you had. We reply with questions or a written scope.
Email a few lines about what you want and which tools you use, or call. We reply with questions or a written scope.
hello@pushbuild.com