Data Scraper Needed for small project
Budget: $30 – $250 USD
I'm in need of a skilled data scraper to extract and organize information from www.growag.com. The URLs will be sourced from a specific search on the website.
Details:
- The data fields to be extracted include a mix of URLs, H1, meta data and page fields.
- Specific metadata of interest will be detailed and provided.
- The final data needs to be compiled into an Excel spreadsheet.
Ideal Skills:
- Proven experience in web scraping.
- Proficiency in Excel.
- Ability to handle and organize large data sets.
Please only apply if you can start this week.
Full details below
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We are looking for an experienced data scraper to pull and organise some information from our website: growag.com
We need data extracted from the URLs that are listed in this site search result: https://www.growag.com/explore/list/opportunities?q=natural%20capital
Research Project Records
URL
Research project name (h1)
Body content (content-wrap cms-content)
Funding org (result-details-block)
Project date (result-details-block)
Research organisations (result-details-block)
Funding organisation (result-details-block)
Related tags (result-details-block)
Focus areas (result-details-block)
Industries (result-details-block)
Sustainabilities (result-details-block)
Technology areas (result-details-block)
Opportunity Records
URL
Opportunity name (h1)
Body content (content-wrap cms-content)
Opportunity Type (result-details-block)
EOI date (result-details-block)
Readiness (result-details-block)
Lead organisation (result-details-block)
Focus areas (result-details-block)
Industries (result-details-block)
Sustainabilities (result-details-block)
Technology areas (result-details-block)
Organisation Records
URL
Body content (content-wrap cms-content)
Org name (h1)
Location (result-details-block)
Org type (result-details-block)
Focus areas (result-details-block)
Industries (result-details-block)
Sustainabilities (result-details-block)
Technology areas (result-details-block)
Stories records are not to be included
All of the fields provided above are fields on the records
We would like this data in a spreadsheet broken into tabs by record type.
Details:
- The data fields to be extracted include a mix of URLs, H1, meta data and page fields.
- Specific metadata of interest will be detailed and provided.
- The final data needs to be compiled into an Excel spreadsheet.
Ideal Skills:
- Proven experience in web scraping.
- Proficiency in Excel.
- Ability to handle and organize large data sets.
Please only apply if you can start this week.
Full details below
----
We are looking for an experienced data scraper to pull and organise some information from our website: growag.com
We need data extracted from the URLs that are listed in this site search result: https://www.growag.com/explore/list/opportunities?q=natural%20capital
Research Project Records
URL
Research project name (h1)
Body content (content-wrap cms-content)
Funding org (result-details-block)
Project date (result-details-block)
Research organisations (result-details-block)
Funding organisation (result-details-block)
Related tags (result-details-block)
Focus areas (result-details-block)
Industries (result-details-block)
Sustainabilities (result-details-block)
Technology areas (result-details-block)
Opportunity Records
URL
Opportunity name (h1)
Body content (content-wrap cms-content)
Opportunity Type (result-details-block)
EOI date (result-details-block)
Readiness (result-details-block)
Lead organisation (result-details-block)
Focus areas (result-details-block)
Industries (result-details-block)
Sustainabilities (result-details-block)
Technology areas (result-details-block)
Organisation Records
URL
Body content (content-wrap cms-content)
Org name (h1)
Location (result-details-block)
Org type (result-details-block)
Focus areas (result-details-block)
Industries (result-details-block)
Sustainabilities (result-details-block)
Technology areas (result-details-block)
Stories records are not to be included
All of the fields provided above are fields on the records
We would like this data in a spreadsheet broken into tabs by record type.