Web scraper in Python
Budget: €30 – €90 EUR
Web scraper in Python
I am looking for a Python developer to build a web scraper that can extract specific data from the following websites:
https://www.infojobs.net/
and
https://es.indeed.com
The outcome will be a csv or xlsx file.
In both cases the first variable is the keywords to search. For example "conductor de camion"
Then we need to click on each job offer and extract the data specified below. This data will be saved in the first tap of the Excel file called "offers".
Then, we select the "company name" and search it in google maps.
We select the first result and extract the address, telephone, email and website.
This data will be saved in a second tap of the same Excel file called "contact details"
In infojobs, we need the following data:
- Title
- Company name
- Details (up to 8 columns)
In indeed the data is:
- Title
- Company name
- Address
Website(s) to scrape:
- The scraper will be used to extract data from multiple websites.
Specific data extraction:
- I have specific data that I want to extract from these websites.
Intended use of the scraped data:
- The scraped data will be used for research purposes.
Ideal skills and experience:
- Proficient in Python programming
- Experience in web scraping using libraries such as BeautifulSoup or Scrapy
- Familiarity with handling multiple websites and extracting specific data
- Strong understanding of data extraction techniques and best practices
- Attention to detail to ensure accurate and reliable data extraction
If you have the necessary skills and experience in Python web scraping, please submit your proposal with relevant examples of previous work.
I am looking for a Python developer to build a web scraper that can extract specific data from the following websites:
https://www.infojobs.net/
and
https://es.indeed.com
The outcome will be a csv or xlsx file.
In both cases the first variable is the keywords to search. For example "conductor de camion"
Then we need to click on each job offer and extract the data specified below. This data will be saved in the first tap of the Excel file called "offers".
Then, we select the "company name" and search it in google maps.
We select the first result and extract the address, telephone, email and website.
This data will be saved in a second tap of the same Excel file called "contact details"
In infojobs, we need the following data:
- Title
- Company name
- Details (up to 8 columns)
In indeed the data is:
- Title
- Company name
- Address
Website(s) to scrape:
- The scraper will be used to extract data from multiple websites.
Specific data extraction:
- I have specific data that I want to extract from these websites.
Intended use of the scraped data:
- The scraped data will be used for research purposes.
Ideal skills and experience:
- Proficient in Python programming
- Experience in web scraping using libraries such as BeautifulSoup or Scrapy
- Familiarity with handling multiple websites and extracting specific data
- Strong understanding of data extraction techniques and best practices
- Attention to detail to ensure accurate and reliable data extraction
If you have the necessary skills and experience in Python web scraping, please submit your proposal with relevant examples of previous work.