Parsing of Prom sellers
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571 6 1 1 Good afternoon!
I am ready to compile an up-to-date database of Prom sellers in the format:
store link / email / phone.
Experience in parsing: Selenium, requests, BeautifulSoup;
I can scale through proxies and validate contacts.
I include deduplication and export to CSV.
4000 UAH.
I guarantee a neat format and a clear file structure. I can send a PoC (20 entries) for format verification.
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3411 32 0 Good day
example of the database at the link
https://docs.google.com/spreadsheets/d/1kvbsCBEQaM7_PV7uQEpwdsZc9_uzfVMpugvzAqefzgw
there are currently 30,000
write to me personally - we will agree
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1422 13 0 Good day! 👋
I can gather a current database of sellers from the Prom.ua platform for you. To clarify the details, please write in private messages.
✅ You will receive:
• Link to the store
• Email
• Phone number
… ✅ Result format:
• Excel (XLSX) or CSV table
• Data structured and cleaned from duplicates
✅ Libraries used:
requests, BeautifulSoup4, pandas, Selenium
Best regards,
Oleksandr | Data Scraper / Parsing
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2264 18 3 Good evening. I am engaged in automation using Python. I have experience in parsing Prom and similar services, I can help you with the solution, also to determine deadlines and pricing, some details need to be clarified. If you are interested - write to me, I will be happy to help.
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224 Ready to collect Prom seller data in the appropriate format..
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3176 31 0 Hello. I can parse it if it's relevant - write to me, we will discuss.
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1101 7 1 I will parse seller profiles from Prom, obtaining links to stores, emails, and phone numbers. I have experience with similar projects for parsing OLX and other marketplaces. I will use Scrapy for efficient data collection, ensuring the relevance of the information.
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656 9 0 Good afternoon, Ivan!
In general, the task is clear, but for an accurate response regarding deadlines and price, I would like to clarify some questions that arose after analyzing your task.
Please write in private messages — we will discuss the details and your wishes.
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796 3 1 Good day!
I am ready to perform data scraping of sellers from the Prom.ua platform for you. I understand that you need up-to-date contacts: links to stores, email, and phone numbers.
My proposal for completing the task:
Technical implementation
Considering your requirements for the stack (PHP/H8H), the task will be implemented in PHP using proven libraries for scraping (for example, Guzzle, Symfony DomCrawler) for reliability and bypassing potential protections. If necessary, we can consider using Puppeteer (Node.js) to bypass JS loading, but the final data will be provided in the format you need.
… What exactly will be done:
Development of a script for collecting data from Prom.ua.
Scraping the list of sellers/stores.
Extracting from seller profiles:
Link to the store
Email
Phone number
Saving data in a format convenient for you:
CSV or XLSX (Excel) — for ease of analysis and import into CRM/databases.
JSON — for further programmatic processing.
Validating data (correctness of email, phone numbers).
Deadlines and cost
Completion time: 3-5 working days (depends on the volume of data and the complexity of bypassing the platform's protections).
Cost of work: 6,000 - 15,000 hryvnias.
The final price depends on:
The required number of sellers for scraping (several hundred, thousands, or all).
The complexity of bypassing the anti-bot protection of Prom.ua.
The required frequency of data updates (one-time or on a regular basis).
To start the work, I need to clarify the details:
What approximate volume of data is needed (all sellers or a specific category)?
Is a one-time scraping required or regular database updates?
I am ready to discuss all the nuances in private messages and start working as soon as possible.
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811 21 0 Hello. I can compile an up-to-date database of sellers. Write to negotiate a low price. I am waiting for a message!
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9009 367 0 Good day
I am interested in your project.
I would like to discuss everything in more detail.
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5831 153 4 3 Good day! There is a fresh database with 52,473 sellers. Data fields: 1) Store link 2) Categories 3) Current status 4) Business description 5) Number of reviews 6) Percentage of positive reviews 7) Office address 8) Phone 9) Email 10) Website. I parsed it a few days ago, feel free to reach out.
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