Python script: scraping from HTTP requests > JSON response > XLSX file
Budget: €8 – €30 EUR
Hello,
We want to scrape ~19000 HTTP requests JSON responses into an XLSX or CSV file.
IMPORTANT Security specifications:
- The script will have to scrape randomly between 170 and 300 requests per day.
- The script will have to run at random working hours 5 days a week. For example, monday from 7:27am to 6:25pm, and tuesday from 9:49am to 5:01pm.
Other specifications:
- Please find attached for example: HTTP request, JSON response, CSV template
- Extract all "mailto:" values in separate columns (mailto values can be found in "addresses" AND in "content")
- You will have to provide a documentation to reuse the script autonomously by our side
Thank you,
Best regards
We want to scrape ~19000 HTTP requests JSON responses into an XLSX or CSV file.
IMPORTANT Security specifications:
- The script will have to scrape randomly between 170 and 300 requests per day.
- The script will have to run at random working hours 5 days a week. For example, monday from 7:27am to 6:25pm, and tuesday from 9:49am to 5:01pm.
Other specifications:
- Please find attached for example: HTTP request, JSON response, CSV template
- Extract all "mailto:" values in separate columns (mailto values can be found in "addresses" AND in "content")
- You will have to provide a documentation to reuse the script autonomously by our side
Thank you,
Best regards