Data & website scraping for leads & data in france
Job Description
I would like to invite you for a job
.
To explain a bit, we are currently looking for databases to carry out telephone prospecting in France. We are trying to find someone who is able to execute data scraping from multiple French websites to create a complete contact / lead list that will meet our criterias that are:
I do not have a specific list of websites but it will be French websites that are publicly accessible.
Description:
In France, every company is classified by the government according to what it does.
This classification is called a NAF code.
A NAF code = an activity code
It tells you what type of business the company is
Each code is made of numbers + a letter (example: 01.11Z)
You can think of it like an industry tag.
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We are only interested in agricultural companies that belong to the following activities:
Growing cereals (except rice), legumes and oil seeds → 01.11Z
Rice cultivation → 01.12Z
Dairy cow farming → 01.41Z
Other cattle and buffalo farming → 01.42Z
Sheep and goat farming → 01.45Z
Pig farming → 01.46Z
Poultry farming → 01.47Z
Other animal farming → 01.49Z
Mixed farming (several activities combined) → 01.50Z
👉 Only companies with these NAF codes should be selected.
Any company outside these codes is not relevant.
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For each company that matches one of these NAF codes, we want to collect only the following information:
• Name of the person
• Ideally the owner but it can also be the manager or decision-maker
• Name of the company and operating adress (often same as legal headquarter adress)
• Personal mobile phone number (French only +33)
• Must start with 06 or 07 (so internationally +33 6 or +33 7)
these are the designations of french personal numbers
• The SIREN or SIRET of the company
A SIREN or SIRET is a French company administrative identification number
• all the criteria have to be met in order for the contact to be usable
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What we don’t need :
• Company landline phone numbers (starting with 01,02,03,04,05)
• Companies that are not linked with the activity NAF code
• Companies without the name of the person behind it
• People without phone numbers
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You can extract these information from all the french websites that have them, they can be governmental.
Normally there is around 200 000 companies with the appropriate NAF codes but not all of them have phone numbers so the real number of companies that meet all the criteria is a lot less.
After the scrapping part we need a CSV or an excel document with all these contacts.
Currently we are looking to get a list of around 10 to 20k contacts that match all the criteria. It is quite urgent so let me know ASAP if you think you can do it.
Interested in this role?
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