Collect data

Hello!

Collecting emails and phone numbers related to agricultural tires is our task. We scrape websites of distributors, dealers, agricultural stores: company name, email, phone, website, region. The result will be in Excel/Google Sheets.

Tools: Python + Playwright (for JS websites), BeautifulSoup, if necessary — browsing through search engines using key queries (for example, "buy agricultural tires", "agrotechnics dealer").

We will also connect Make.com if automation or regular database updates are needed.

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Good afternoon.
I will collect a database with contacts using Python (requests / BeautifulSoup / Selenium).
I additionally verify emails and phone numbers through services.

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Hello, Pavel!
I have already had experience with a similar task, just in a different niche.

I suggest collecting data manually - this is a higher quality format, as I will be able to select the most relevant contacts.

The cost depends on the number of contacts you need.
4 UAH = contact. But I am also ready to discuss other conditions.
I can start and deliver the first result (50-100 contacts) today.

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Good day. For this task, I suggest using the combination of Node.js and TypeScript as tools. Instead of standard parsing through third-party programs, I recommend gathering data through the official APIs of business directories and maps, as this will ensure more accurate emails and phone numbers without the risk of blocks. The collected database can be easily filtered and saved in the required format. We will discuss the cost of work and implementation timelines in private messages after clarifying all the details.

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Good day!

I want 800 UAH for this work.

I can gather a database of contacts (email, phone numbers) on the topic of agricultural tires and related niches (agricultural enterprises, dealers, service stations, equipment suppliers, etc.).

🔧 Tools I use:

* Website parsing (Python + Scrapy / custom scripts)
… * Automation through Make (ex-Integromat)
* Apify, PhantomBuster (for gathering from directories and social networks)
* Google Maps / business directories (OLX, Prom, etc.)
* Email validation (NeverBounce / ZeroBounce)

⚙️ What you will receive:

* Spreadsheet (Google Sheets / Excel)
* Company name
* Phone
* Email
* Website / source
* City / region

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Hello, Pavlo!

I am implementing a system for automatic collection and verification of contacts related to agricultural tires, using the connection of Make.com and specialized data enrichment services.

Please let me know which search region you are interested in (Ukraine or abroad) and what approximate volume of the database you need?

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Hello, Pavlo!
I can gather a database of contacts (email/phones) on the topic of "agroshiny" from open sources.

Tools:
Make for automation
website and directory parsing (Python)
Google Maps / open business databases
processing in Google Sheets / Excel

… Please specify the geography and the number of contacts.

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Hello.

I can compile a contact database on the topic of agricultural tires: company, phone, email, website, city, and source.

Tools: Google Maps, search results, company websites, directories, if necessary — Python script or Make.

The cost depends on the volume:
— up to 100–150 contacts: 1000 UAH;
— larger database or several countries — discussed separately.
…
Before submission, I will remove duplicates and format everything in Google Sheets or Excel. I can first create a small test example so you can see the quality.

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Hello!
I have extensive experience in collecting and parsing contact data (emails, phone numbers) for various niches, including agriculture.

I can implement this through tools: parsers (Scrapy, Octoparse, custom scripts), automation via Make (Integromat), as well as alternative methods — APIs, databases, LinkedIn/company websites with subsequent data cleaning and validation.

I suggest we move to private messages for a more detailed discussion of the terms of reference, volumes, and costs.

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Hello! I am Roman, an individual developer with 4 years of professional experience in full-stack development and automation, and I implement the collection of contact data on the topic of "agro tires" using the following methods: 1. Tools: development of custom parsers in Python (Scrapy/Selenium) for extracting data from directories, dealer websites, and price aggregators; setting up scenarios in Make for automatic transfer of contacts to your working tools (Google Sheets, CRM) via webhooks; enriching the database through API Hunter.io, Apollo, or Clarity Project to find direct emails and phone numbers of decision-makers. 2. Result format: you receive a verified database with the company name, full name of the manager, direct contact, and verified business activity status. I work exclusively as a freelancer through a sole proprietorship, which guarantees direct communication, transparency of processes, and transfer of configured tools into your ownership. You can familiarize yourself with my approach to automation and data architecture at the following links: https://3magency.co/, https://jk-solution.com.ua/, https://farfieworldwide.com/, Behance

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Good day, Pavel!
I have reviewed similar tasks and understand what is being discussed. For a one-time collection of contacts, I do not see the point in extending paid subscriptions. I will write a Python script for specific sources: Google Maps, distributor websites, industry directories. Before submission, I will run the emails through a verifier to avoid dead addresses in the database. The result will be in Excel or Google Sheets.
One important thing: agricultural tires is a narrow B2B niche. This is not about online stores or restaurants. It is not realistic to expect a database of 5-10 thousand contacts. There are significantly fewer real companies on the topic. However, these will be live, targeted contacts, not junk.

One question before starting: what geography and what approximate volume do you expect? Ukraine, EU, CIS - these are different sources and different volumes. From this, I will calculate the price and deadlines. I will provide a specific price after the answer to the question above. I am ready to do a test: I will collect 20-30 contacts for free so that you can see the quality before payment. Feel free to reach out!

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Collecting emails and phone numbers for agricultural tires through Make is more of a combination of parsers and ready-made integrations. I wouldn't write a script from scratch if I could manage with ready-made modules. I set up something similar for a tire distributor: Make pulled data from Google Maps and several catalogs, cleaned duplicates, and compiled it into a table. What sources do you already have in mind? Or shall we start by searching for platforms?

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Good day!

I am ready to quickly and efficiently compile a database of contacts (email, phone) on the topic of agricultural tires.

I work carefully: I check the relevance of the data, collect only real contacts from websites and Google Maps. I will format the result in a convenient table (Excel / Google Sheets).

I can start immediately after agreeing on the details.

Please let me know what volume of contacts is needed — I will adjust to the task.

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I am working on OLX, I can go through the keywords mtz, yumz, hts, tractor, combine in the Tires category. Screenshot https://ibb.co/Z6xh70d6 example of work https://freelancehunt.com/showcase/work/olx_review/1777357.html The price depends on the number of contacts. If the source is suitable, I will calculate.

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I can collect from Google Maps and send it in Excel, I will do it as an example if needed, write to me.

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Good day, I am ready to complete the task.
I propose to create my own parser for website outputs in search engines and possibly additionally Google Maps. There may be technical expenses only for proxies (up to $10), so this option will be budget-friendly and will only depend on time. The work will take approximately up to 5 days.
If you need it faster but are willing to pay more, then it can be done through Apify (~$49/month) + Make (from $9/month). The work will take approximately up to 3 days.
I indicate the rate as my cost for 1 working day.

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Good day.
I have experience in gathering information and filling out tables. Please write in private messages, and we will discuss the details.
I will be happy to collaborate.

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Hello.

I work with Python, tools like Make, n8n, etc.
The price depends on the amount of data and the source.

Can you suggest where to gather this data from?

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Good day!

I will professionally collect email and phone data for agricultural tires. I have experience working with specialized programs, automation through `make`, and other methods.

I effectively use APIs, proxies, and Google Sheets.

Write to me privately, and we will discuss the tools and details.

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Good day, Pavel! I am ready to gather the necessary information for you. Please write the details.

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Hello! You can collect emails and phone numbers through parsing and automation; I often use Selenium and APIs for such tasks. I'm curious about which specific sources and the volume of data you are considering? I can quickly show an example of data collection for your topic.

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