I will write a python script to extract website data into excel or google sheets
About this Gig
You need data from a website in a spreadsheet: clean, structured and repeatable.
I write a Python script that collects it, deliver the result as CSV, Excel or a Google Sheet, and hand you the script so you can run it again yourself.
What I handle: paginated listings, search results and filters, HTML tables, JSON APIs, and pages that only render after JavaScript loads (Playwright). Plus cleaning, deduplication and scheduled re-runs.
What I deliberately do not do: no logins, no paywalls, no CAPTCHA, no personal data, no social media profiles, no pre-made contact lists. Public, business-related data only, collected for your specific order. If a site's terms forbid automated access, I tell you and I stop.
How I work: everything in writing here on Fiverr, so the source URLs, the field list and every change stay documented for both of us. I send a recorded screen walkthrough of the script running on your source, so you can check the output without scheduling anything.
Before ordering, send me the URL and the exact fields you want. I will tell you within a day whether it is possible and what it costs.
Technology:
Python
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Google Sheets
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Beautiful soup
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Playwright
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Pandas
Technique:
Other
My Portfolio
FAQ
Do we need a call?
No. Everything is handled in writing here on Fiverr, and I send a recorded screen video of the script running on your source. Written requirements also catch edge cases before they turn into bugs.
Can you scrape any website?
Public pages, in most cases yes. I do not bypass logins, paywalls or CAPTCHA, and I check the site rules first. Send me the URL before ordering and I will tell you within a day whether it works.
What if the site changes and the script breaks?
Layouts change and scrapers break. I fix it free for 14 days after delivery. After that it is a small paid update, and I tell you the price before doing anything.
Do I get the script or only the data?
Both. You get the output file and the Python script itself, with a short readme, so you can run it again yourself whenever you want.

