Data parsing from the site
45 USD
Completed faster than expected. I recommend the performer.
150
0
Budget: 1200 UAH Deadline: 1 day
Good day. To evaluate the order, it is necessary to familiarize oneself with the website itself.
Looking forward to working with you!
20
0
Budget: 5555 UAH Deadline: 3 days
I can make the script today. The parsing deadlines depend on the number of products and the complexity of the anti-bot system on the site. I just finished a similar job parsing auto parts.
20
0
Budget: 1108 UAH Deadline: 2 days
I am engaged in data collection from websites both on a one-time basis and on a regular basis with data updates (with support for future work). To assess, it is necessary to review the website. I can start today.
0
0
Budget: 1000 UAH Deadline: 1 day
Good day. The Devoksen team has extensive experience in data parsing from websites and creating structured Excel files for further work. We can carefully collect the category name, subcategory, product name, price, and product card URL with proper preservation in a table without chaos in the structure. I suggest we move to private messages.
9
0
Budget: 2222 UAH Deadline: 3 days
Hello, I will create a standalone parser program, you will be able to parse from this website at the desired time and category, but I need a link to the donor, as this affects the price and deadlines.
230
0
Budget: 1000 UAH Deadline: 1 day
Ready to perform
Ready to perform
Ready to perform
Ready to perform
Ready to perform
Ready to perform
0
0
Budget: 15000 UAH Deadline: 10 days
Contact us and we will discuss all the details and conditions that interest you.
11
0
Budget: 1000 UAH Deadline: 1 day
Hello.
I am ready to implement a parser in Python for collecting data from a website with export to Excel in the required structure:
product category name
subcategory name
product name
product price
product card URL
What I will do:
I will write a parser according to the website structure
I will collect data for all necessary categories/subcategories
I will save the result in Excel
If necessary, I will add protection against duplicates and data validity checks.
4
0
Budget: 999 UAH Deadline: 3 days
Hello!
I am ready to develop a reliable parser for you and export all data into a clean, structured Excel file (Category / Subcategory / Name / Price / URL).
However, for an accurate and honest assessment of the cost and timelines, I need to see the website itself. Many modern stores have protection against automated data collection (for example, Cloudflare) or use dynamic loading of product cards. Depending on this, the technical tools for the job will differ significantly.
Please send the link in private messages. I will conduct a quick technical analysis of the site (this will take 10 minutes) and offer you a realistic action plan without hidden risks.
I look forward to collaborating.
20
0
Budget: 2000 UAH Deadline: 1 day
Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various parsers. Please write to me in private messages to discuss the details. I will be happy to help)
36
1
Budget: 1200 UAH Deadline: 1 day
Hello. I have been doing parsing for a long time. Please contact me and send the donor.
70
1
Budget: 1200 UAH Deadline: 1 day
Good day.
I can do it today.
Send the link to the donor.
32
0
Budget: 1000 UAH Deadline: 1 day
Good day.
Please write in personal messages a link to the donor website for review.
164
1
Budget: 700 UAH Deadline: 1 day
Good day, we have already worked with you, please send the technical specifications, we will discuss. Thank you in advance.
Yehor I.
Winning proposal
86
0
Budget: 2000 UAH Deadline: 4 days
Ready to take it on. But need to see the source site. Need to clarify the order details, write! I use python, uv, github, docker.
56
1
Budget: 1000 UAH Deadline: 1 day
Hello, I am a Python developer, I have experience in developing parsers of various complexity. I can complete your project quickly and efficiently. Write to me - we will discuss the details. I am ready to start working today.
The list does not show proposals concealed by the client or freelancer with a Plus profile, as well as proposals violating rules
