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Custom RERA Data Scraping & PDF Extraction

Transform fragmented multi-tab state RERA filings, Quarterly Progress Reports (QPRs) and uploaded PDF certificates into clean, normalized relational tables tailored to your exact schema.

Technical Capabilities

Structuring Complex State RERA Filings & PDFs

Each state RERA authority structures its public records differentlyβ€”some publish HTML tables across multiple tabs, while others store registration certificates, layout sanctions and quarterly progress disclosures inside downloadable PDF documents.

Our data engineering team builds custom extraction, PDF parsing and cross-state normalization pipelines so your analysts receive clean, deduplicated datasets without manual copy-pasting.

What Our Custom Extraction Pipelines Deliver:

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Project PDF & Certificate Parsing (Digital + OCR)
Extract registration numbers, plot numbers, sanction references, architect/engineer names and unit tables from registration certificates and Form 1/2/3 PDFs.
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Quarterly Progress Report (QPR) & Inventory Tracking
Track physical construction completion percentages, tower-wise progress and booked/unsold unit inventory updates across quarters.
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Cross-State Schema Normalization
Harmonize divergent state fields (e.g. Sq.m vs. Sq.ft, Promoter vs. Applicant, Taluka vs. Mandal) into a single relational database schema.
Discuss Custom Extraction → Download Sample Output
Pipeline Specifications

Delivery & QA

  • Document Support: HTML, Digital PDF & OCR
  • Turnaround Time: 24h to 72h per State
  • Data Validation: Automated Schema & Dedup QA
  • Delivery Channels: Excel, CSV, SQL, S3, SFTP, API
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FAQ

Custom RERA Scraping & PDF FAQs

What is custom RERA scraping and PDF data extraction?
Beyond standard project and agent tables, many businesses need specific information buried inside multi-tab project filings, Quarterly Progress Reports (QPRs) or uploaded PDF documents (such as sanction letters, Form 1 Architect certificates, Form 2 Engineer certificates and Form 3 CA certificates). Our custom extraction pipelines parse and structure those fields to your exact schema.
How do you handle digital vs. scanned RERA PDFs?
Digitally generated PDFs are parsed directly using layout-aware text and table extractors. Scanned image PDFs are processed through Optical Character Recognition (OCR) and validation rules, while always retaining the original PDF link for human verification.
Can you harmonize RERA data across multiple states into one schema?
Yes. Each state RERA portal uses different terminology and units (e.g., Sq.m vs. Sq.ft, Taluka vs. Tehsil, Promoter vs. Applicant). We map and normalize multi-state datasets into a single unified database schema.
Does ReraData comply with portal security controls?
Yes. We only collect publicly available records and do not bypass login walls, CAPTCHAs or access restrictions.
Instant Sample & Quotation

Need Clean, Structured RERA Data for Your Real Estate Business?

Get customized datasets of projects, builders, and brokers tailored by state, city, launch date, or construction status. Formats delivered: Excel, CSV, JSON, or SQL.