Fertiggestellt

Building a scraper that is saving data to a Google spreadsheet

I need a scraper parsing URLs such as [login to view URL]

and writing the data from result lists into a Google spreadsheet.

Input:

- 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

Output:

- 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.

Thanks.

Best,

Thomas

Fähigkeiten: Web Scraping, Softwarearchitektur, Ingenieurwesen, Daten Scraping

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Über den Arbeitgeber:
( 1 Bewertung ) Berlin, Germany

Projekt-ID: #26611285

Vergeben an:

merlimejia

Hello there, I can scrape the mentioned data using Puppeteer in Node.JS and save int into google spreadsheet using google apis. I have strong web scraping experience. Please find bellow my approach, I can show you my l Mehr

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Hello, dear employer. I am an experienced Python Software Developer, who specializes in web scraping.

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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!

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