Pinduoduo Product Scraper & Price Tracker

Scrape public Pinduoduo product listings to capture product IDs, titles, prices, market prices and URLs. Compare repeated runs to track price changes and target-price opportunities for sourcing and competitive research.

Business use and first result

For: China sourcing and price analysis.

Why run it: Inspect public Pinduoduo recommendation products, preserve source links and compare CNY price snapshots to identify changes worth checking.

What to inspect: Product IDs, titles, URLs, available price fields and repeat-run differences.

First run: use the documented sample input below, inspect the Dataset rows and source links, then reuse the saved output for a later comparison only where snapshots are supported. Confirm the input scope and current Pay Per Event pricing before scheduling ongoing use.

Scope and limitations: This is a public recommendation-feed extractor, not unrestricted product search; prices and seller details require source verification.

Quick start

Start with this working example and replace the target values with your own:

{
  "maxItems": 20,
  "targetPriceCny": 50,
  "previousSnapshot": []
}

The Actor writes structured results to the default Apify Dataset and can be used from the Store, API, schedules, Tasks, automations and MCP-compatible AI workflows.

Input

• maxItems — Maximum products: Maximum recommendation-feed products to return.
• targetPriceCny — Target price (CNY): Optional procurement target price used for gap and BUY_SIGNAL decisions.

All integration and advanced analysis fields are optional. The default example is intentionally runnable without configuring MCP or a previous-run baseline.

Output

The Dataset exposes predictable machine-readable output. Representative fields include results.

Pricing

This Actor uses Pay Per Event. The current factory base price is $0.004500 per result event. The Apify Store remains the source of truth for the price and plan/tier details shown to the buyer.

Use cases

• Run the buyer-ready workflows exposed as Apify Tasks without preparing a custom integration first.
• Use the Actor from API or schedules for recurring collection, comparison or monitoring.
• Feed the structured Dataset output into spreadsheets, databases, automations or AI agents.
• Compare repeat runs when the product supports snapshots or previous-run inputs.

Automation and AI

Use the same Actor through Apify API, schedules, public Tasks and the Apify MCP server. Outputs are structured for downstream workflows and AI agents rather than requiring manual copy/paste.

Limitations

• Public websites and upstream APIs can change markup, access rules, rate limits or field availability without notice.
• Fields that are not publicly available are returned as unavailable or omitted rather than fabricated.
• Analytical outputs depend on the quality and coverage of the supplied or collected source data.
• Treat marketplace, reputation, workforce, safety or commercial signals as decision support and validate material decisions against the underlying source evidence.

Detailed documentation

Why use this Actor

Pinduoduo changes quickly, so a reusable product snapshot is more useful than manually checking recommendation cards. This Actor reads public Pinduoduo recommendation data, normalizes product and pricing fields, and adds repeat-run price and demand signals.

Key features

• Extracts public product recommendation cards from Pinduoduo.
• Returns product ID, title, product URL, price, market/normal price, demand signal, recommendation count, tags and image URL when available.
• Calculates exact price deltas from an optional previous snapshot.
• Supports an optional target price for deterministic buy/watch decisions.
• Produces structured Dataset output for API, Tasks, schedules, MCP and downstream automation.

Input

maxItems controls how many public recommendation products are returned. Optional targetPriceCny enables price-gap decisions, and previousSnapshot enables exact price-change comparison.

Output

Each row represents a Pinduoduo product with normalized source fields plus repeat-run pricing and decision signals.

Notes

Public Pinduoduo pages and transport behavior can change. The Actor fails explicitly when it cannot validate source data rather than returning invented products.