I need a scraper parsing URLs such as [login to view URL]
and writing the data from result lists into a Google spreadsheet.
- Column A in the spreadsheet includes all URLs that need to be scraped. It can be up to 50 URLs
- These URLs will be scraped 3 times per day
- This data needs to be saved into columns: [login to view URL]
- Per entry also a datestamp (when was this scraped and added to the list)
- No duplicates
- The list is sorted by the latest entry coming first
- The columns behind the columns with the scraped data can be edited (we will put formula in)
Also notice this:
- User agent that does the scrape shall look like a normal browser / device
- If there are 50 URLs that have to be scraped 3 times a day, it is 150 requests a day. These requests have to divided equally between 6am and 6pm European Standard Time in order to prevent blocking
If you are interested:
1. Describe me EXACTLY how you will do the job. I understand a lot of webscraping so please do not keep it generic. I will ignore generic bids.
2. Show me an example on where you did something similar or code a bit of the job that I have described here and show this.
3. Name a price.
19 Freelancer bieten im Durchschnitt €145 für diesen Job
Hi! I can create a scrapper for you with the required specifications. I have a lot of experience regarding web scrapping. Kindly message me to discuss further details. Thank you
Hi, I am a Forbes featured AI Developer and read your problem statement very carefully. This can be done using a python scripting as well as we've an in-house tool to do it. Let me know if I can be of any help. Cheers!
FYI, i have completed multiple scraping projects and most of the websites are running on daily bases. so feel free and contact with me. also i will share the full data till today. thanks