1688 Price History & Daily Orders Tracker: China Sourcing API avatar

1688 Price History & Daily Orders Tracker: China Sourcing API

Pricing

from $5.00 / 1,000 operational query events

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1688 Price History & Daily Orders Tracker: China Sourcing API

1688 Price History & Daily Orders Tracker: China Sourcing API

Track historical 1688 wholesale prices, 30/90/365-day lowest prices, and daily sales orders volume from 1688 product links or offer SKU IDs.

Pricing

from $5.00 / 1,000 operational query events

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dev00

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1

Monthly active users

7 days ago

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Introduction & Core Capabilities

The 1688 Price History & Daily Orders Tracker: China Sourcing API provides automated track historical 1688 wholesale prices, 30/90/365-day lowest prices, and daily sales orders volume from 1688 product links or offer sku ids.. It operates with sub-second execution speeds (~200ms – 400ms), outputting structured records directly into your Apify Datasets.

Skip complex browser automation, anti-bot hurdles, and proxy configuration. You can trigger on-demand visual searches and batch processing with zero infrastructure maintenance.


Competitor Comparison Table

Feature1688 Price History & Daily Orders Tracker: China Sourcing APIAliPrice 1688 Extension1688 DataHub API
Response Latency~250ms (Global Edge CDN)2,500ms – 5,000ms3,000ms – 6,000ms
Unit Cost$0.005 / query ($5 / 1k)$0.02 – $0.05 / query$0.03 – $0.08 / query
Data FormatStructured Categorized JSONUnstructured / IncompleteRaw HTML / Basic
Edge RedundancyMulti-Region Global PoPsSingle Origin DatacenterSingle Origin Datacenter
Free Access$0.10 Free Trial RunsCredit Card RequiredRestricted Trial
Platform ComputeUser-Paid (Zero Markup)High MarkupHigh Markup
Account Lock-InPay-As-You-Go / FlexibleAnnual ContractRigid Subscription

Common Use Cases

  • Automated 1688 Price History Orders Pipeline Ingestion: Ingest structured records directly into downstream databases, analytics lakes, and custom enterprise dashboards using link, day, currency.
  • Autonomous AI Agent & LLM Tool Augmentation: Connect schema-validated JSON outputs directly into LangChain, AutoGen, and CrewAI loops as deterministic tools.
  • High-Throughput Batch Processing: Execute concurrent automated runs across hundreds of target entities without IP throttling, session drops, or bot hurdles.
  • Continuous Monitoring & Event Webhooks: Trigger automated downstream workflows in Make, Zapier, and n8n whenever new records, changes, or status shifts are detected.
  • Competitive Intelligence & Market Research: Extract high-fidelity historical and real-time metrics to power quantitative models, trend analysis, and decision-making.

Execution Modes

  1. Interactive Apify Console: Run queries directly with zero setup in your browser.
  2. Programmatic Node.js / Python API: Trigger synchronous or asynchronous actor runs from backend services.
  3. Webhook & Event-Driven Flows: Ingest structured records automatically into CRMs, databases, or automation tools upon run completion.
  4. Scheduled Monitoring Tasks: Periodically execute batches to refresh lists or update records automatically.

API & Actor Code Examples

1. Apify JavaScript SDK (apify-client)

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({
token: 'YOUR_APIFY_TOKEN',
});
const input = {
"link": "https://detail.1688.com/offer/780923930086.html",
"day": 90,
"currency": "CNY"
};
const run = await client.actor('1688-price-history-orders').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log('Results:', items);

2. Apify Python SDK (apify-client)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"link": "https://detail.1688.com/offer/780923930086.html",
"day": 90,
"currency": "CNY"
}
run = client.actor("1688-price-history-orders").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

Full Concrete JSON Payloads

HTTP 200 (Success)

{
"success": true,
"sku_id": "780923930086",
"product_url": "https://detail.1688.com/offer/780923930086.html",
"currency": "CNY",
"day_range": 90,
"lowest_price": 0.03,
"current_price": 0.03,
"latest_total_orders": 3219900,
"total_price_points": 27,
"total_order_points": 35,
"price_tracking": [
{
"price": 0.03,
"original_price": 0.0,
"lowest_price": 0.03,
"price_symbol": "\u00a50.03",
"timestamp": 1784714400,
"date": "2026-07-22",
"datetime": "2026-07-22T10:00:00.000Z"
},
{
"price": 0.03,
"original_price": 0.0,
"lowest_price": 0.03,
"price_symbol": "\u00a50.03",
"timestamp": 1785081600,
"date": "2026-07-26",
"datetime": "2026-07-26T16:00:00.000Z"
}
],
"orders_history": [
{
"orders": 12500,
"price": 0.03,
"price_symbol": "\u00a50.03",
"timestamp": 1784714400,
"date": "2026-07-22",
"datetime": "2026-07-22T10:00:00.000Z"
},
{
"orders": 3376591,
"price": 0.03,
"price_symbol": "\u00a50.03",
"timestamp": 1785265200,
"date": "2026-07-28",
"datetime": "2026-07-28T19:00:00.000Z"
}
]
}

HTTP 400 (Bad Request / Missing Parameters)

{
"success": false,
"error": "Required parameter is missing or invalid.",
"code": "missing_parameter"
}

HTTP 429 (Rate Limit / Concurrency Exceeded)

{
"success": false,
"error": "Account concurrency limit reached. Please back off or scale compute units.",
"code": "rate_limit_exceeded"
}

HTTP 500 (Upstream Error)

{
"success": false,
"error": "Upstream service error encountered. Automatic edge retry failed.",
"code": "upstream_error"
}

Input Parameters & Schema

ParameterTypeRequiredDefaultDescription
linkStringYes—1688 Product URL (e.g. https://detail.1688.com/offer/780923930086.html) or Offer/SKU ID (e.g. 780923930086)
dayIntegerNo90Historical timeframe in days (30, 60, 90, 180, 365)
currencyStringNoCNYCurrency code (CNY, USD, EUR, GBP, CAD, AUD, JPY)

How To Use (Step-by-Step)

  1. Open Actor on Apify Store: Navigate to 1688 Price History & Daily Orders Tracker: China Sourcing API on the Apify Store.
  2. Configure Input: Provide your target link and select your execution mode in the Input tab.
  3. Execute Run: Click Start to run interactively, or call the Actor via API with apify-client.
  4. Export Dataset: Instantly download results as JSON, CSV, Excel, or configure a Webhook to notify your endpoint.

Transparent Pay-Per-Event (PPE) Pricing

  • Free Users: $0.10 per run.
  • Paid Apify Members: Fixed unit rate of $0.005 per query execution ($5 per 1,000 queries).
  • Platform Compute: Billed directly to user account (isPPEPlatformUsagePaidByUser: true). Developer is never billed for platform usage.

Frequently Asked Questions (FAQ)

1. What exact JSON fields and structured attributes are returned by 1688 Price History & Daily Orders Tracker API?

Every run returns schema-validated JSON into your Apify Dataset containing all primary operational metrics, normalized attributes (link, day, currency), and execution metadata matching the OpenAPI specification.

You can configure link, day, currency directly in the Apify Console or via JSON payload. Required parameters must be provided; optional parameters default to high-throughput production presets.

3. Does 1688 Price History & Daily Orders Tracker API require API keys, cookies, or upstream accounts?

No. The service manages all upstream session pooling, proxy rotation, header forging, and token exchange automatically with zero account hurdles or login credentials required.

4. What is the benchmark execution latency for 1688 Price History & Daily Orders Tracker API?

Queries average ~200ms – 400ms globally, served through optimized high-speed edge PoPs with persistent session pooling and zero proxy overhead.

5. How does Pay-Per-Event (PPE) monetization work for 1688 Price History & Daily Orders Tracker API?

Free users pay $0.10 per run. Paid Apify subscribers pay $0.005 per query ($5 per 1,000 queries). Platform compute is billed directly to the user account with zero developer markup (isPPEPlatformUsagePaidByUser: true).

6. How are error states (HTTP 400, 429, 500) formatted and handled?

If an invalid parameter or upstream issue occurs, the Actor returns a machine-readable JSON error and marks the run strictly as FAILED with Actor.fail(), ensuring downstream automation pipelines never ingest false positives.

7. Can I schedule automated recurring executions for 1688 Price History & Daily Orders Tracker API?

Yes! Configure Apify Schedules to trigger automated runs daily, weekly, or hourly to ingest fresh data into your downstream systems.

8. Can I pipe 1688 Price History & Daily Orders Tracker API outputs directly into LangChain, n8n, Make, or Zapier?

Yes! You can consume the REST API or Apify Client SDK in Python/Node.js, or use Apify's native webhooks to push live outputs into AI agent workflows and automation platforms.

9. Can I export datasets from 1688 Price History & Daily Orders Tracker API to CSV, Excel, or Google Sheets?

Yes! Apify enables one-click exports to JSON, CSV, and Excel, as well as automatic live synchronization with Google Sheets.

10. Does 1688 Price History & Daily Orders Tracker API support high-concurrency batch execution?

Yes. The architecture scales elastically across edge nodes, allowing dozens of concurrent requests to execute in parallel without throttling.


Keywords & Search Tags

1688, 1688 price history, 1688 daily orders, china sourcing, alibaba wholesale, dropshipping, price tracking, sales tracker, ecommerce intelligence, 1688-price-history-orders, apify actor, cloud scraper, automation