i have created a code to scrape website and uploaded it to github and Run Scrapy Spiders On Digital Ocean Droplet With ScrapeOps. but i want to save the scrapped data back to digital ocean.anyone could guide me the steps what to enter in scrapy setting and how to create a space in digital ocean and how to save scrappped data in digital ocean space?
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Hey!
To save the scraped data to DigitalOcean Spaces using Scrapy and ScrapeOps, you could do the following:
Create a DigitalOcean Spaces Bucket:
https://docs.digitalocean.com/products/spaces/how-to/create/
Get Your Access Keys:
Configure Scrapy to Use DigitalOcean Spaces:
Scrapy supports Amazon S3 storage, and since DigitalOcean Spaces is compatible with S3, you can use Scrapy’s S3 feed exporters. Configure your Scrapy settings.py to export data to your Space:
https://docs.scrapy.org/en/latest/topics/feed-exports.html#storages
FEEDS = {
's3://your_space_name/your_folder/%(name)s/%(time)s.json': {
'format': 'json',
'store_empty': False,
'encoding': 'utf8',
'uri_params': {
'endpoint_url': 'https://your_region.digitaloceanspaces.com', # Replace your_region with the actual region
'aws_access_key_id': 'your_access_key',
'aws_secret_access_key': 'your_secret_key',
},
},
}
Replace placeholders (your_space_name, your_folder, etc.) with your actual Space details.
Install AWS SDK Packages: Scrapy utilizes the AWS SDK to interact with S3-compatible services. Install the required packages:
pip install boto3 botocore
With the settings properly configured, execute your Scrapy spider. The scraped data will be uploaded to your specified DigitalOcean Space in JSON format.
Let me know how it goes!
Best,
Bobby
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