Short summary I need a developer to process an Excel file of ~60,000 worldwide tickers (ticker, company name, ISIN) and check whether each ticker exists on DeGiro. Afterwards extract 2 datapoints for each ticker from DeGiro (This is a two-milestone project). Full project description / scope of work Milestone 1 — Ticker validation on DeGiro You will receive an Excel file (Tickers_Worldwide.xlsx) with three columns: 1. ticker 2. company_name 3. isin For each row: Search DeGiro (via JSON endpoints or browser automation). If there is a 100% exact ticker match, mark it as TRUE in a new column called degiro. If not found, mark it as FALSE. The result must be written in the same Excel file (no separate output file). Handle rate limits and retries politely! Deliverable for Milestone 1: Updated Excel file with the added column degiro (TRUE/FALSE). No source code is required — only the processed file. Milestone 2 — Analyst data collection For all rows where degiro = TRUE: Visit the matching instrument on DeGiro. Extract the following data points (see example for AAPL in added pictures) 1. Analyst view / upside-downside percentage (+/-%) 2. Number of analysts Add two new columns in the Excel file: analyst_updown_pct analyst_count Deliverable for Milestone 2: Same Excel file, now containing the three additional columns: degiro, analyst_updown_pct, analyst_count. Source code is required here so I can run it independently afterwards Important details Approximately 60,000 tickers to process. Login credentials for a fake DeGiro account (with TOTP) will be provided. Must comply with DeGiro’s Terms of Service and use polite scraping. I’ll verify by spot-checking random symbols inside DeGiro; data must match exactly and the script should process the full list without triggering captchas or account locks.