We extract e-Bikray listings, SARFAESI real estate, reserve prices, EMD requirements, and auction timelines from MSTC. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Property Auctions objects from mstcecommerce.com. All fields typed and schema-versioned.
"auction_id": "MSTC/BLR/STATE BANK OF INDIA/12/26-27/1042", "property_type": "Residential Flat", "bank_name": "State Bank of India", "branch": "Stressed Assets Management Branch", "reserve_price": 4500000.0, "emd_amount": 450000.0, "auction_start_date": "2026-06-15T11:00:00Z", "auction_end_date": "2026-06-15T15:00:00Z"
| # | auction_id | property_type | bank_name | branch | reserve_price | emd_amount |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Bank NPA Details objects from mstcecommerce.com. All fields typed and schema-versioned.
"institution_id": "SBI_SAMB_BLR", "bank_name": "State Bank of India", "branch_name": "SAMB Bengaluru", "nodal_officer": "Rajesh Kumar", "contact_number": "+91-80-22223333", "email": "sbi.04209@sbi.co.in", "total_active_auctions": 24, "state": "Karnataka"
| # | institution_id | bank_name | branch_name | nodal_officer | contact_number | |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Scrap & Assets objects from mstcecommerce.com. All fields typed and schema-versioned.
"tender_no": "MSTC/ERO/TATA STEEL/14/26-27/451", "lot_no": "LOT-01", "material_desc": "Heavy Melting Scrap", "quantity": 500.0, "unit": "MT", "location": "Jamshedpur", "pre_bid_emd": 100000.0, "start_time": "2026-07-01T10:00:00Z"
| # | tender_no | lot_no | material_desc | quantity | unit | location |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Auction Results objects from mstcecommerce.com. All fields typed and schema-versioned.
"auction_id": "MSTC/WRO/BANK OF BARODA/8/26-27/891", "property_id": "BOB_MUM_001", "status": "Sold", "final_bid_amount": 12500000.0, "bid_count": 14, "reserve_price": 11000000.0, "percentage_over_reserve": 13.63, "result_published_date": "2026-05-20T18:30:00Z"
| # | auction_id | property_id | status | final_bid_amount | bid_count | auction_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for E-Bikray Search objects from mstcecommerce.com. All fields typed and schema-versioned.
"ibapi_id": "IBAPI_2026_89123", "state": "Maharashtra", "district": "Pune", "bank": "Punjab National Bank", "property_category": "Commercial Property", "reserve_price": 8500000.0, "possession_type": "Physical", "document_url": "https://mstcecommerce.com/auctionhome/ibapi/doc/89123.pdf"
| # | ibapi_id | state | district | bank | property_category | reserve_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our MSTC scraper handles legacy web forms, complex session states, and aggressive CAPTCHAs to deliver clean, structured auction data.
Extract residential and commercial property details, including dimensions, locations, and possession status from distressed asset listings.
Capture minimum bids, earnest money deposits, and auction fee requirements accurately across all active lots.
Navigate legacy ASP.NET web forms seamlessly by managing complex ViewState and EventValidation payloads during the crawl.
Extract critical text and metadata from attached auction notices and legal documents associated with property listings.
Scrape bank branch details, phone numbers, and email addresses for the officers managing specific NPA auctions.
Cross-reference listings with the IBAPI portal to ensure comprehensive coverage of all bank-led property auctions.
Bypass image CAPTCHAs on the MSTC search interfaces automatically using integrated solver APIs without interrupting the pipeline.
Archive completed auctions and result statuses to build a historical database of clearing prices and demand.
Run pipelines daily or hourly to catch new listings and auction date modifications before the bidding window closes.
Brief in. Clean data out.
Provide target property categories, bank names, or geographic regions. We design the extraction schema together.
We configure Scrapy crawlers, ASP.NET session management, proxy rotation, and CAPTCHA handling for mstcecommerce.com.
Schema validation, null-rate checks, and data normalisation rules are applied before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Government and PSU portals are notoriously difficult to scrape. Here is how we stay resilient.
MSTC relies on outdated ASP.NET infrastructure. We manage the complex ViewState and EventValidation payloads required to paginate through search results and access detailed property records without dropping the session.
Search interfaces on MSTC are protected by aggressive image CAPTCHAs. Our pipeline integrates directly with solving APIs to decode these challenges in milliseconds, ensuring continuous data extraction.
The portal frequently experiences high latency and 503 errors during peak hours. We implement exponential backoff and intelligent concurrency limits to extract data reliably without overwhelming the origin servers.
Property descriptions and terms are often entered manually by bank officials, leading to unstructured text. We apply regex and NLP rules to extract standard dimensions, property types, and possession statuses.
Critical auction terms are sometimes buried in attached PDF files rather than HTML tables. Our pipeline downloads these documents and extracts the text to ensure complete data coverage.
Identify undervalued NPA properties and commercial real estate assets being liquidated by public sector banks.
Feed structured e-auction data into consumer-facing real estate portals to expand listing inventory.
Analyse bank NPA liquidation rates, average time to sell, and clearing prices across different geographic regions.
Monitor industrial scrap, vehicle, and machinery auctions to source raw materials at wholesale prices.
Benchmark reserve prices and final auction clearing prices against local market rates to build valuation models.
Track SARFAESI notices and property attachments for corporate due diligence and background verification.
"MSTC holds the most valuable repository of distressed assets in India, but accessing it requires fighting legacy web forms and heavy session state."
Extracting data from government and PSU portals is notoriously difficult. MSTC relies on outdated ASP.NET infrastructure, complex ViewState payloads, and aggressive CAPTCHA walls. DataFlirt handles the session management, proxy rotation, and document parsing so your analysts get clean structural data without dealing with broken web forms.
Everything supported by our mstcecommerce.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Custom Scrapy middleware manages ASP.NET ViewState and EventValidation strings, ensuring stable navigation through state-heavy legacy web applications.
Integrated solver APIs bypass image CAPTCHAs automatically, while Redis maintains session cookies across distributed crawler nodes.
Pipelines run on AWS Lambda and Kubernetes. Airflow handles scheduling, dependency management, and SLA alerting for daily data refreshes.
Data delivered to where your team already works — no new tooling required.
About mstcecommerce.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available auction notices and property details is generally permissible. DataFlirt targets only public, non-authenticated e-auction data. We do not circumvent authentication walls to access private bidder information or submit automated bids.
Our Scrapy pipelines are configured to parse and return the exact ViewState, ViewStateGenerator, and EventValidation hidden fields with every POST request, mimicking standard browser behaviour precisely.
Yes. If critical information like exact property boundaries or legal disclaimers is only available in the attached PDF, our pipeline downloads the document, extracts the text using OCR or standard parsing, and appends it to the structured record.
We typically configure MSTC pipelines to run daily to capture new listings, date extensions, and status changes. Higher frequency runs can be configured for specific high-value categories if required.
Yes. We can extract data from both MSTC and the IBAPI e-Bikray portal, cross-referencing listings to provide a complete view of bank NPA auctions across India.
Our orchestration layer uses intelligent retry logic and exponential backoff. If the MSTC portal is down for maintenance, the pipeline pauses and resumes extraction once the origin servers are responsive again.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily feed of SARFAESI properties or a historical database of scrap auctions, we scope, build, and operate the pipeline. Tell us what you need.
