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Modular Python scraper that extracts and consolidates Expedia Partner Central financial data (reservations + payout PDFs). Streamlit UI, checkpoint/resume, rate limiting.
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A modular Python tool that extracts financial data from Expedia Partner Central reservations and payout statements, then consolidates everything into clean, analysis-ready reports. Built to replace a slow, error-prone manual process in a property-management finance operation.
Why it exists: reconciling reservation revenue and payouts across several properties used to mean opening hundreds of pages by hand. This tool turns that into a single command — saving ~3 hours of manual data entry per month while removing copy-paste errors.
--reset to start over, --status to inspect progress).htid and the
account whose cookie should be used.app.py) for non-technical users to upload
CSVs, paste a cookie, and download the report — no terminal needed.Reservation CSVs (exported from Expedia)
│
▼
lector_csv.py ── loads & groups reservations by property
│
▼
scraper_expedia.py ── fetches each reservation page (HTTP + cookie)
│ • rate limiting · retries · checkpoint/resume
▼
extractor.py ── parses the HTML into structured financial fields
│
▼
output/ ── consolidated TSV report (one row per reservation)
Payout PDFs (Remittance Advice)
│
▼
scraper_payouts_pdf.py + extractor_payouts_pdf.py ── parse payout PDFs → TSV
Python · requests (HTTP) · BeautifulSoup (HTML parsing) ·
(PDF parsing) · (data handling) · (UI)
Selected from shared topics, language and repository description—not editorial ratings.
hi-tech-AI /
A Python-based web scraping project designed to extract marketplace data, including product details, prices, and seller information, from various e-commerce platforms. The project features modular scrapers, data cleaning, and export functionality for analytics or integration.
52/100 healthpdfplumberpandasStreamlit| File | Responsibility |
|---|---|
scraper_expedia.py | Main entry point: orchestrates fetching + checkpointing |
lector_csv.py | Loads and groups reservations from exported CSVs |
extractor.py | Parses reservation HTML into structured financial fields |
checkpoint.py | Save/resume progress, error tracking |
scraper_payouts_pdf.py / extractor_payouts_pdf.py | Parse payout (Remittance Advice) PDFs |
extractor_payouts_csv.py | Parse payout data from CSV |
app.py | Streamlit web interface |
check_config.py | Validates your configuration before running |
config.example.py | Configuration template (copy to config.py) |
# 1. Clone and enter the project
git clone https://github.com/<your-username>/expedia-finance-scraper.git
cd expedia-finance-scraper
# 2. Create a virtual environment and install dependencies
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
# 3. Create your config from the template
cp config.example.py config.py
# → edit config.py: add your property htids and your session cookie
Command line:
python3 scraper_expedia.py # run (resumes from checkpoint if present)
python3 scraper_expedia.py --status # show progress
python3 scraper_expedia.py --reset # clear checkpoint and start fresh
Place your exported reservation CSVs in input/ (the filename should contain the
property name, e.g. Property One.csv). Reports are written to output/.
Web app:
streamlit run app.py
See docs/manual_proceso.md for a step-by-step guide.
This repository contains code only. No session cookies, credentials, guest
data, or financial reports are included — they're excluded via .gitignore.
Session cookies are treated as secrets and live exclusively in your local
config.py.
Andrea Hernández Quiroz — Financial Data Analyst (finance + data + automation) LinkedIn