Amazon Product Research and Monitoring with AzScraper
Collect Amazon product data, monitor changes, and move structured results into spreadsheets or API workflows with AzScraper.
Amazon product research often starts with a simple question: what is listed for a search term, and how are the products you care about changing over time? AzScraper helps turn those questions into structured product data that teams can review in a dashboard, export for analysis, or use in an application.
Use AzScraper to run keyword searches and product detail crawls across supported Amazon marketplaces. Submit work from the dashboard for hands-on research, or connect through the project-scoped API when you want to bring crawl results into an existing workflow.
Research products by keyword or ASIN
A search crawl starts with one or more keywords. AzScraper returns matching product listings with fields such as product title, price, rating, review count, and search position where available. This gives marketplace teams a structured starting point for comparing listings and exploring a category.
When you already have products in mind, run a details crawl with their ASINs or Amazon product URLs. Product records can include information such as title, brand, price, currency, rating, review count, availability, features, and categories, depending on the data available on the product page and marketplace.
Turn repeat research into monitoring
A one-time lookup is useful for a snapshot. For products you need to revisit, create a schedule to run a crawl on a recurring timetable. AzScraper stores crawl results so you can compare runs and inspect changes in monitored product fields, including price, rating, and review count.
Scheduled crawls help make routine checks more consistent: teams can follow a shortlist, revisit keyword results, and review what changed between snapshots. The schedule and comparison tools are available for project data, with cadence and usage subject to the account’s plan and credit balance.
From a target list to usable results
The workflow is straightforward: choose a supported Amazon marketplace, enter keywords or product targets, and submit a crawl. Follow the job in the dashboard or check its status through the API. Once it finishes, review the returned items and decide whether to download a file, compare the result with another run, or pass it to a downstream tool.
Projects help keep work and API access organized. A project API key is associated with its project, which lets an integration work with the corresponding project’s jobs and data. Teams can use the dashboard for exploratory work and the API for repeatable operations while keeping each crawl connected to its project.
Choose the format that fits your workflow
Review results in the AzScraper dashboard, or export completed crawl data as CSV or JSON. CSV is convenient for spreadsheets and team review; JSON fits scripts and other data tools. The API also offers a versioned, normalized LLM-ready export for workflows that need a consistent product-data structure.
Developers can use a project API key to create crawl jobs, check job status, retrieve results, manage schedules, and access project analytics and change-tracking endpoints. When a crawl completes or a monitored product change is detected, configured signed webhooks can notify your application, so it can react without repeatedly checking for updates.
A practical starting point for marketplace teams
Product research: search keywords and review matching listings.
Listing review: look up selected products by ASIN or URL.
Competitor tracking: schedule repeat crawls and compare product snapshots.
Data workflows: export results or connect jobs to an application through the API and webhooks.
AzScraper is designed to make these workflows easier to organize, from a dashboard-led investigation to a repeatable data pipeline. Choose the marketplace and targets relevant to your work, review the available results, and use exports or the API to move that data into the next step.
Explore AzScraper and see how it can fit your Amazon product research and monitoring workflow.