Python code for Data Extraction from a web site
Budget: $30 – $250 USD
Looking for a working example of Python code that scrapes data from complex site based on word press and excel.officeapps.live.com.
The code should do the following:
Stage 1: Retrieve number data from an excel file I will provide.
Stage 2: The data should then be sent to a specific website.
Stage 3: The reply from the website should be saved back into the original Excel
Repeat for the the next set of data
The task is to successfully demonstrate entering values into the online spreadsheet and retrieving data. Once working, this code will be used by me, as a template, to retrieve a large amount of data.
The website to be scraped is
1. portfoliocharts.com/charts/withdrawal-rates/
2. eu_office_events_data_microsoft_com
3. euc_excel_telemetry_officeapps_live_com:
4. excel_officeapps_live_com
5. Word press
VALUES TO EXTRACT:
- Cell values
- Formulas
- Graphic data to text
Please take a few minuets to make sure you can in fact access and scrape data from the site before you make an offer. (www.portfoliocharts.com/charts/withdrawal-rates/)
The code should do the following:
Stage 1: Retrieve number data from an excel file I will provide.
Stage 2: The data should then be sent to a specific website.
Stage 3: The reply from the website should be saved back into the original Excel
Repeat for the the next set of data
The task is to successfully demonstrate entering values into the online spreadsheet and retrieving data. Once working, this code will be used by me, as a template, to retrieve a large amount of data.
The website to be scraped is
1. portfoliocharts.com/charts/withdrawal-rates/
2. eu_office_events_data_microsoft_com
3. euc_excel_telemetry_officeapps_live_com:
4. excel_officeapps_live_com
5. Word press
VALUES TO EXTRACT:
- Cell values
- Formulas
- Graphic data to text
Please take a few minuets to make sure you can in fact access and scrape data from the site before you make an offer. (www.portfoliocharts.com/charts/withdrawal-rates/)