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Since Scrapy doesn't provide enough pipelines examples for different backends or databases, this repository provides severals to demostrate the decent usages, including:

• MongoDB
• Redis (todo)
• InfluxDB (todo)
• LevelDB (todo)

And also these pipelines provide multiple ways to save or update the items, and return id created by backends

• Python 3.6+
• Works on Linux, Windows, Mac OSX

The quick way:

pip install scrapy-pipelines

For more details see the installation section in the documentation: https://scrapy-pipelines.readthedocs.io/en/latest/intro/installation.html

Documentation is available online at https://scrapy-pipelines.readthedocs.io/en/latest/ and in the docs directory.

Keeping this section same as Scrapy is intending to benefit back to Scrapy.

See https://scrapy.org/community/

Keeping this section same as Scrapy is intending to be easier when this repo merge back to Scrapy.

See https://doc.scrapy.org/en/master/contributing.html

Please note that this project is released with a Contributor Code of Conduct (see https://github.com/scrapy/scrapy/blob/master/CODE_OF_CONDUCT.md).

By participating in this project you agree to abide by its terms. Please report unacceptable behavior to opensource@scrapinghub.com.

Keeping this section same as Scrapy is intending to benefit back to Scrapy.

See https://scrapy.org/companies/

Keeping this section same as Scrapy is intending to benefit back to Scrapy.

See https://scrapy.org/support/

• [X] Add indexes creation in open_spider()
• [X] Add item_completed method
• [X] Add signals for MongoDB document's id return
• [ ] Add MongoDB document update
• [ ] Add Percona Server for MongoDB docker support
• [ ] Add Redis support
• [ ] Add InfluxDB support
• [ ] Add LevelDB support