Developed a monitoring system for the website vaurioajoneuvo.fi — a Finnish auction for selling damaged cars. The goal is to automatically track new lots (cars) appearing on the site and instantly send information to a Telegram group.
Main features:
Searching for new cars on the homepage of the site.
Uniqueness check: if the link to the car already exists in the database — skip, if new — send a notification.
Collecting information about the lot: make, model, year of manufacture, image, link to the card.
Resilience to Cloudflare protection: manual generation of cf_clearance, session fixation (cookie + user-agent + proxy), operation through saved profiles.
Sending notifications to Telegram with the car card (text + photo + link).
Multithreading: several threads with separate sessions for parallel monitoring.
Configuration via JSON file: setting paths, timings, and number of threads.
Launch on schedule or as a background service (Windows Task Scheduler / daemon).
Technologies:
C#, PuppeteerSharp, SQLite, Telegram Bot API, Proxy, Cloudflare Bypass, Multithreading
Result:
The parser successfully finds new cars within seconds of their appearance on the site and sends the information to Telegram. Allows for prompt tracking of interesting lots without manually monitoring the site.
#parsing #autoparser #auction #damagedcars #finland #automation #telegrambot #cloudflarebypass #multithreading #sqlite #puppeteersharp #csharp #vaurioajoneuvo #vaurioajoneuvofi #searchcars #automonitoring #portfolioproject #parsertotelegram #bypassprotection
#carscraper #cardeals #damagedcars #finnishauction #vaurioajoneuvo #vaurioajoneuvofi #csharpdeveloper #puppeteersharp #webscraping #automationtools #realtimemonitoring #cloudflarebypass #multithreading #telegrambot #sqlite #proxy #cartracking #telegramintegration #portfolio
#autoparseri #rikkinäisetautot #verkkohuutokauppa #vaurioajoneuvo #vaurioajoneuvofi #automaatiotyökalu #tietojenkeruu #telegrambilotti #pilvipalvelunkierto #suomiautot #seurantajärjestelmä
Main features:
Searching for new cars on the homepage of the site.
Uniqueness check: if the link to the car already exists in the database — skip, if new — send a notification.
Collecting information about the lot: make, model, year of manufacture, image, link to the card.
Resilience to Cloudflare protection: manual generation of cf_clearance, session fixation (cookie + user-agent + proxy), operation through saved profiles.
Sending notifications to Telegram with the car card (text + photo + link).
Multithreading: several threads with separate sessions for parallel monitoring.
Configuration via JSON file: setting paths, timings, and number of threads.
Launch on schedule or as a background service (Windows Task Scheduler / daemon).
Technologies:
C#, PuppeteerSharp, SQLite, Telegram Bot API, Proxy, Cloudflare Bypass, Multithreading
Result:
The parser successfully finds new cars within seconds of their appearance on the site and sends the information to Telegram. Allows for prompt tracking of interesting lots without manually monitoring the site.
#parsing #autoparser #auction #damagedcars #finland #automation #telegrambot #cloudflarebypass #multithreading #sqlite #puppeteersharp #csharp #vaurioajoneuvo #vaurioajoneuvofi #searchcars #automonitoring #portfolioproject #parsertotelegram #bypassprotection
#carscraper #cardeals #damagedcars #finnishauction #vaurioajoneuvo #vaurioajoneuvofi #csharpdeveloper #puppeteersharp #webscraping #automationtools #realtimemonitoring #cloudflarebypass #multithreading #telegrambot #sqlite #proxy #cartracking #telegramintegration #portfolio
#autoparseri #rikkinäisetautot #verkkohuutokauppa #vaurioajoneuvo #vaurioajoneuvofi #automaatiotyökalu #tietojenkeruu #telegrambilotti #pilvipalvelunkierto #suomiautot #seurantajärjestelmä