Bikroy Properties Scraper
Pricing
from $1.50 / 1,000 results
Bikroy Properties Scraper
Scrape property ads from bikroy.com. Use the same listing filters as the site or paste a URL — the URL wins when set.
Pricing
from $1.50 / 1,000 results
Rating
0.0
(0)
Developer
Marco Rodrigues
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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🇧🇩 Bikroy Properties Scraper
Want Bikroy property ads in a spreadsheet? This scraper makes it easy.
Use structured filters — better for AI agents — or paste an input_url. When input_url is set it overrides the filters.
Bikroy is Bangladesh’s main classifieds site. Property is a core category. This actor returns up to 2000 rows per run.
💡 Perfect for...
- Marketplaces: Export Dhaka and Chattogram sale or rent ads from Bikroy.
- Dashboards: Track new homes without paging the site.
- Market research: Slice listings by sale or rent, type, city, or price.
- Data analysts: Export structured rows with public listing URLs.
- 🤖 AI Agents: Power Claude, Cursor, Codex, the Hermes Agent, and OpenClaw workflows with live Bikroy property results.
- 📚 RAG Systems: Feed titles, prices, and cities into retrieval pipelines.
- 🔗 AI Workflows: Plug into LangChain, AutoGPT, CrewAI, and similar stacks.
✨ Why you'll love this scraper
- 🔗 Input URL or Filters: Paste a Bikroy property search or listing URL, or pick the same filters as the site.
input_urlalways wins when set. - 🎯 Website-Matched Filters: Keyword, sale or rent, property type, location, bedrooms, size, price, and sort.
- 🌐 Listing cards: Title, price in taka, type, bedrooms, size, city, and listing URL.
📦 What's inside the data?
id, url, title, price, currency, listing_type, property_type, bedrooms, bathrooms, size, location, city, region, image, date
🚀 Quick start
Option A: paste https://bikroy.com/en/ads/dhaka/property.
Option B: pick sale or rent and a city, then set max_results.
Input Example (filters):
{"listing_type": "sale","property_type": "houses-apartments","location": "dhaka","max_results": 100}
Input Example (URL):
{"input_url": "https://bikroy.com/real-estate","max_results": 100}
Output Example:
{"id": "2100123","url": "https://bikroy.com/gulshan/houses-apartments-for-sale/example.html","title": "3 bedroom apartment in Gulshan","price": 18500000,"currency": "BDT","listing_type": "Houses & Apartments for Sale","property_type": "Houses & Apartments for Sale","bedrooms": 3,"bathrooms": 3,"size": "1800 sqft","location": "Dhaka, Gulshan","city": "Gulshan","region": "Dhaka","image": "https://pictures-bangladesh.jijistatic.com/example.webp","date": null}
Output fields:
| Field | Description |
|---|---|
id | Bikroy ad id. |
url | Public listing page. |
title | Ad title. |
price | Price or rent in Bangladeshi taka when shown. |
currency | Always BDT. |
listing_type | Sale, rent, or the card type label. |
property_type | Houses, land, commercial, or new builds. |
bedrooms | Bedroom count when shown. |
bathrooms | Bathroom count when shown. |
size | Floor or land size when shown. |
location | Full location string from the card. |
city | Area or neighbourhood. |
region | City or division. |
image | Listing photo. |
date | When the ad was posted, as a full date and time, when the card shows one. |
📋 Input reference
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
input_url | string | No | — | Bikroy property search or listing URL. Overrides every filter. |
query | string | No | — | Same as the site search box. |
listing_type | dropdown | No | all | For sale or for rent. |
property_type | dropdown | No | all | Houses, land, commercial, new builds, or vacation rentals. |
location | dropdown | No | all | Bangladeshi city or division. |
bedrooms | integer | No | — | Lowest bedroom count. |
size_min | integer | No | — | Smallest size in square feet. |
size_max | integer | No | — | Largest size in square feet. |
price_min | integer | No | — | Lowest price in Bangladeshi taka. |
price_max | integer | No | — | Highest price in Bangladeshi taka. |
sort | dropdown | No | newest | Newest, most relevant, or price. |
max_results | integer | No | 50 | Maximum rows (1–2000). |