Chotot Scraper – Vietnam Classifieds (Chợ Tốt)
Pricing
$1.00 / 1,000 results
Chotot Scraper – Vietnam Classifieds (Chợ Tốt)
Scrape Chotot.com (Chợ Tốt) classified ads in Vietnam: phones, motorbikes, cars, real estate, electronics. Get title, price, location, seller name, posting time, images and attributes by keyword, category, region and price range. Fast JSON API, no browser.
Pricing
$1.00 / 1,000 results
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Chotot Scraper: Vietnam Classifieds Listings, Prices & Sellers (Chợ Tốt)
Unofficial tool. Not affiliated with, endorsed by, or sponsored by Chotot. The name is used only to describe compatibility.
Collect public classified ads from Chotot.com (Chợ Tốt), Vietnam's largest marketplace for used phones, motorbikes, cars, real estate, electronics and more. Search by keyword, category, region or price range, or paste individual ad URLs. Export to Excel, CSV or JSON, or call the API. No Chotot login or browser needed — it uses the public JSON API, so runs stay fast and cheap.
Built for Vietnam market researchers, used-vehicle dealers, real-estate monitors, resale price trackers and anyone building datasets from Chợ Tốt.
What you get
- 🏷️ Listing basics: title, price (VND), price string, category, condition.
- 📍 Location: region (e.g. TP Hồ Chí Minh, Hà Nội), district/area, ward, optional lat/long.
- 👤 Seller: display name, private vs business, shop verification flag.
- 🕒 Timing: posted timestamp and relative age.
- 🖼️ Media: image count, main image URL; with details on, full image list.
- 🔧 Attributes: brand, model, year, km, area m² and other category-specific fields (when details are enabled).
- 🔗 URL: stable
https://www.chotot.com/<listId>.htmlink for each ad.
Phone numbers are not collected.
Use cases
- Used-vehicle price indices: track Honda Vision, Toyota Vios and other models by city and year.
- Real-estate monitoring: watch căn hộ / nhà đất listings in selected districts.
- Resale research: compare iPhone, laptop and electronics asking prices over time.
- Dealer lead lists: export recent private or business ads in your category and region.
- Market sizing: count supply per province, category and price band.
Quick start
- Add search keywords (e.g.
honda vision,iphone 15) and/or ad URLs. - Optionally set category ID, region ID, and price min/max (VND).
- Set Max items and turn on Include details if you need full attributes and image galleries.
- Click Start, then export from the Output tab (use the Overview view for a compact table).
Input example
{"keywords": ["honda vision"],"categoryId": 2020,"regionId": 13000,"priceMax": 30000000,"maxItemsPerSource": 60,"includeDetails": true,"sort": "newest"}
| Field | What it does |
|---|---|
keywords | Search terms (Vietnamese or English) |
startUrls | Individual ad URLs ending in <id>.htm |
categoryId | e.g. 5010 phones, 2020 motorbikes, 2010 cars, 1010 apartments |
regionId | e.g. 13000 TP HCM, 12000 Hà Nội |
priceMin / priceMax | Filter by asking price (VND) |
sort | newest, price_asc, or price_desc |
maxItemsPerSource | Cap per keyword or URL source (default 50) |
includeDetails | Fetch full attributes and all images per ad |
Category and region IDs match the filters in Chotot's own URLs.
Output example
{"type": "listing","listId": 134565349,"title": "Honda Vision 2023 Đen","price": 25500000,"priceString": "25.500.000 đ","categoryName": "Xe máy","regionName": "Tp Hồ Chí Minh","areaName": "Quận Tân Phú","sellerName": "Tuanduy","sellerType": "private","postedAt": "2026-10-14T03:44:20.158Z","url": "https://www.chotot.com/134565349.htm","attributes": {"Hãng xe": "Honda","Dòng xe": "Vision","Năm sản xuất": "2023","Số Km đã đi": "10"}}
Pricing
Pay per result: you are charged for each listing written to the dataset. See the Pricing tab for the current rate. Failed sources do not invent fake rows.
Notes & FAQ
- Unofficial / public data only. You are responsible for using the data in line with Chotot's terms and applicable law.
- No phone numbers. Seller contact phones are deliberately omitted.
- Proxy: optional Apify Proxy or custom proxies if you run large volumes.
- Speed: JSON API, no headless browser — typical runs finish in seconds to a few minutes depending on
maxItemsPerSourceandincludeDetails.