Parsing e-mail addresses
Technical Assignment
Goal: To collect and provide unique and valid email addresses of all stores and sellers in the lingerie category, registered in European countries, using various marketplaces, websites, and other online resources.
Tasks:
Data Collection:
- Collect email addresses of stores and sellers in the lingerie category, targeting the market of each European country.
- Use any available sources, including major marketplaces, official store websites, and other relevant online resources.
- Apply keywords relevant to the lingerie category in the language of each country to maximize audience reach.
- Ensure that each collected email address is unique and valid.
Data Format:
- Data should be collected in a tabular format (e.g., Excel or CSV).
- The table columns should include:
- Website — URL of the page where the email address was found.
- Email — email address of the seller or store.
- Country — country where the seller or store is located.
- Store or Seller Name — name of the store or seller (if possible).
- Phone Number — contact phone number (if possible).
Data Quality Requirements:
- All email addresses must be validated for authenticity.
- Data must be unique; duplicates are not allowed.
- Contact information must be current and correspond to sellers targeting the European market and operating in the lingerie category.
(FOR EXAMPLE) Keywords for Search:
- Use keywords relevant to the lingerie category in the official language of each European country. For example:
- France: "lingerie"
- Germany: "Unterwäsche"
- Spain: "ropa interior"
- Italy: "biancheria intima"
- Apply the most popular and relevant keywords for maximum reach and search accuracy.
- Use keywords relevant to the lingerie category in the official language of each European country. For example:
- Additionally:
- We look forward to your proposals regarding the timeline for task completion and service costs.
- If you have any questions regarding the technical assignment, you may ask them for clarification of details.
-
1 day23 USD1 day23 USD
I suggest scraping from Google Maps in the following format https://docs.google.com/spreadsheets/d/1tUvjWkhe4amvXk-UzCdH8PUEgGUjvADPk7cr9IDgwXU/edit#gid=89543605
Please reply.
-
2 days23 USD
1490 28 0 2 days23 USDReady to complete, I can provide the result for 1 city you need, if that works we can discuss further.
-
3 days58 USD
2210 49 2 1 3 days58 USDHello!
I am ready to complete your project.
I have experience in collecting contacts, specifically phone numbers and emails of companies and private individuals.
Examples of my work can be found in my portfolio:
Freelancehunt
-
10 days231 USD
249 11 0 2 10 days231 USDGood day!
I am a fullstack developer. I have good experience in this type of activity - if you wish, you can check the reviews (there I performed parsing from Facebook, the total number of emails (from all orders) is about 2 million). Therefore, completing your project will not be a problem.
Let's get in touch to discuss the details and successful implementation of this project.
Always in touch!
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