Flight Deals Scraping Bot Integration
Budget: £250 – £750 GBP
I need a reliable, self-maintaining bot that continually scours the web for up-to-date flight deals and feeds that information straight into my website’s database. The focus is exclusively on flights, and I want three specific data points captured each time the bot runs:
• Airlines and routes
• Prices and discounts (promos, coupon codes, limited-time fares)
• Flight schedules, including departure and arrival times
The workflow I picture is straightforward: the bot crawls trusted sources, parses the data, cleans it, and delivers it to my site in a format my back-end can instantly display—JSON or direct DB insert both work. A lightweight dashboard or log file that confirms successful scrapes and flags errors would be helpful so I can monitor performance at a glance.
I’m comfortable if you build this in Python using Scrapy, Selenium, BeautifulSoup, or similar tools, as long as the final product runs on a cron job (or comparable scheduler) with minimal manual intervention. Respecting site terms of service and rate limits is critical; I do not want IP blocks disrupting service.
Deliverables
1. Fully functioning web-scraping script(s) capturing the three flight deal data points.
2. Integration hook or API endpoint that pushes parsed data into my site.
3. Setup guide and brief hand-off call or document covering dependencies, environment variables, and how to extend sources later.
4. One-week post-delivery support to squash any unforeseen bugs.
Acceptance criteria: When I visit my site after deployment, I should see live, correctly formatted flight deal information updating automatically without breaking existing pages.
If this sounds like your kind of project, let’s get started right away.
• Airlines and routes
• Prices and discounts (promos, coupon codes, limited-time fares)
• Flight schedules, including departure and arrival times
The workflow I picture is straightforward: the bot crawls trusted sources, parses the data, cleans it, and delivers it to my site in a format my back-end can instantly display—JSON or direct DB insert both work. A lightweight dashboard or log file that confirms successful scrapes and flags errors would be helpful so I can monitor performance at a glance.
I’m comfortable if you build this in Python using Scrapy, Selenium, BeautifulSoup, or similar tools, as long as the final product runs on a cron job (or comparable scheduler) with minimal manual intervention. Respecting site terms of service and rate limits is critical; I do not want IP blocks disrupting service.
Deliverables
1. Fully functioning web-scraping script(s) capturing the three flight deal data points.
2. Integration hook or API endpoint that pushes parsed data into my site.
3. Setup guide and brief hand-off call or document covering dependencies, environment variables, and how to extend sources later.
4. One-week post-delivery support to squash any unforeseen bugs.
Acceptance criteria: When I visit my site after deployment, I should see live, correctly formatted flight deal information updating automatically without breaking existing pages.
If this sounds like your kind of project, let’s get started right away.
Related categories:
PHP
Python
Data Processing
Web Scraping
Software Architecture
Scrapy
BeautifulSoup
Selenium