AMZ DATA TRACKER · NO-CODE AMAZON MONITORING
Track fresh Amazon
data. Turn every change
into action.
Choose the ASINs, keywords, or bestseller lists that matter. Set the market, postal code, and schedule, then send fresh structured data into the workspace where your team acts.
- No code required
- Custom fields
- Marketplace & postal code
- Scheduled runs
Illustrative interface and data
Trusted by 2,000+ ecommerce& development teams
Put data into the operating workflow
The data exists. The change is discovered too late.
Prices, rankings, bestseller lists, and reviews never stop moving. The real cost is checking the same pages, copying the same fields, merging files, and explaining every change by hand.
Data lives on pages. Decisions stall in copy and paste.
Once ten targets become hundreds, manual monitoring does more than slow down. It creates blind spots around what changed, when it changed, and whether anyone acted on it.
Search every ASIN, keyword, and list again.
Columns drift and file versions multiply.
Every exception still needs a screenshot and handoff.
Build a Tracker in three steps
Tell it what to track. Let automation handle the repetition.
No scraper code. No data pipeline to maintain. Choose what to collect, define the market context, and decide where the results should go.
Postal code is optional; leave blank to select one from the U.S. pool.
Built for real marketplace conditions
Your collection rules—not another fixed report
From targets and fields to delivery location, your team defines the context behind each decision.
Keep only the fields your team needs
Select only the fields each workflow needs—such as ASIN, title, BSR, price, rating, review count, brand, or Buy Box—so teams spend less time cleaning exports.
Set marketplace and postal code
Collect for the marketplace and delivery area that shape what customers actually see.
Add targets in bulk
Paste URLs, keywords, or an Excel column to build large tracking jobs faster.
Keep data current on a schedule
Run manually or on a recurring cadence instead of relying on someone to remember.
Connect related pages in one table
Enrich lists or search results with the product details the workflow needs.
From signal to action
Every monitoring workflow should support a decision
Choose a common marketplace workflow and see how Tracker turns scattered page changes into an actionable table.
See new-product shifts
before they become obvious
Capture Best Sellers or New Releases on a schedule, spot new ASINs and ranking momentum, then route qualified opportunities to product research.
- Capture list snapshots and new ASINs
- Join product and review signals
- Add filters and alerts in Lark Base
Catch competitor changes
without refreshing pages
Keep priority ASINs in one Tracker and record changes in price, BSR, ratings, reviews, and listing fields—so the team only investigates meaningful exceptions.
- Compare ASINs with consistent fields
- Keep a timestamp for every run
- Set change thresholds in your workspace
Track keywords and product positions
in one table
Run searches by keyword and marketplace, record each target ASIN’s organic position, and separate identifiable sponsored placements for a comparable ranking history.
- Add keywords and target ASINs in bulk
- Separate organic and sponsored results
- Build a ranking history by date
Turn new reviews
into an analyzable dataset
Collect reviews and rating changes, classify and assign them in Lark Base or Feishu, then use AI to summarize recurring pain points and product opportunities.
- Combine reviews across multiple ASINs
- Keep classification rules in your workspace
- Connect insights to product improvements
Not another isolated dashboard
Put Amazon data in the workspace your team already uses
AMZ Data Tracker handles access, parsing, and structure. Lark Base or Feishu holds your team’s views, formulas, permissions, automations, and AI analysis.
- ✓Keep data in your operating tableOrganize fields, views, and history around the way your team works.
- ✓Let operators define the rulesTrigger next steps from rank, price, or newly added records.
- ✓Collaborate around one source of truthReduce file handoffs, version conflicts, and repeated explanations.
Customer workflow
Send new-product opportunities to Lark Base automatically
Continuously capture Amazon bestseller lists, detect newly appearing ASINs, and combine product details, business rules, and AI analysis into a repeatable product-research workflow.
- 01AMZ Data Tracker collects list and product fields on schedule
- 02Results sync to the team’s own Lark Base
- 03Rules filter new or unusual records and notify an owner
- 04AI combines reviews and market signals for opportunity review
Choose the right path
Choose the right path for every Amazon data workflow
Tracker, API, MCP, and Skill solve different jobs. Start with where the data needs to go.
Monitor markets in team tables
Use AMZ Data Tracker to configure targets and fields without code, then send Amazon data into Lark Base, Feishu, or recurring operations workflows.
Create a free TrackerBuild your own data product
Use Amazon Scraper API to control requests and responses in code, then embed structured Amazon data in products, systems, or large-scale data pipelines.
Explore Scraper APIGive AI agents access to current data
Use Amazon Data MCP to give MCP-compatible agents and AI workspaces direct access to current Amazon data.
Explore Amazon Data MCPRun guided analysis without integration
Use Amazon Scraper Skill to launch product research, review analysis, and related tasks in natural language without building an integration.
Explore Amazon Scraper SkillValidate with one small workflow
Prove one Tracker first. Scale when the workflow works.
Create a job after sign-up and validate the fields and output with real ASINs, keywords, or lists. Upgrade only when you need more volume, team features, or workspace sync.
Frequently asked questions
What teams ask before creating their first Tracker
Want to see the interface and setup flow first? Start with the documentation.
Open the documentationWhat is AMZ Data Tracker?
AMZ Data Tracker is a no-code Amazon monitoring tool for ecommerce operations and research teams. Choose the targets, marketplace, postal code, fields, and schedule; the system returns structured results.
What Amazon data can I track?
Common targets include ASINs, keywords, category lists, and reviews. Depending on the page type, you can select fields such as title, price, BSR, rating, review count, brand, and Buy Box. Available fields are shown in the Tracker interface.
Do I need to code or maintain a scraper?
No. You create jobs, add targets, select fields, and review results through a visual interface. You can also paste an Excel column to add targets in bulk.
How often can the data update?
You can run a job manually or choose a recurring schedule supported by your plan. Update frequency and completion time depend on the configuration shown in your account.
How does Tracker work with Lark Base or Feishu?
Tracker collects and structures Amazon data. Once synced to Lark Base or Feishu, your team can use views, formulas, dashboards, permissions, automations, and AI for filtering, alerts, and collaboration.
How is Tracker different from Amazon Scraper API?
Tracker is designed for teams that want scheduled monitoring and table-based workflows without code. Amazon Scraper API is designed for developers embedding Amazon data into products, internal systems, or large-scale pipelines.
How long is historical data retained?
Result retention in Pangolinfo depends on your current plan. For longer histories, export results regularly or sync them to your own workspace. Refer to your account and the pricing page for current limits.
How do credits work?
Credits measure data-collection usage. Consumption varies by page type and job configuration. You can review the estimated usage before creating a job; current allowances are listed on the pricing page.
Start with the next market change
Make the next opportunity impossible to miss
Create your first AMZ Data Tracker and put fresh Amazon data where your team already makes decisions.
