scrapy-toolbox 0.1.0

Saves Scrapy exceptions in your Database

scrapy-toolbox

A Python library that extends Scrapy with the following features:

• Error Saving to the Database Table "__errors" for manual error analysis (incl. traceback and response) and automated request reconstruction containing the following columns:
  • failed_at
  • spider
  • traceback
  • request_method
  • request_url
  • request_meta (json dump that can be loaded with json.loads())
  • request_cookies (json dump that can be loaded with json.loads())
  • request_headers (json dump that can be loaded with json.loads())
  • request_body
  • response_status
  • response_url
  • response_headers (json dump that can be loaded with json.loads())
  • response_body
• Error Processing with request reconstruction
• DatabasePipeline for SQLAlchemy

Requisites:

• Environment variable "PRODUCTION" for Produciton Mode for instance in your Dockerfile
• The ErrorSavingMiddleware defines a errback Callback for your Requests. If you want to make use of this Feature do not define any errback.

Installation

pip install --upgrade scrapy-toolbox

Setup

Add the scrapy_toolbox Middlewares to your Scrapy Project settings.py and set your DATABASE_DEV and DATABASE.

# settings.py
SPIDER_MIDDLEWARES = {
    'scrapy_toolbox.database.DatabasePipeline': 999,
    'scrapy_toolbox.error_handling.ErrorSavingMiddleware': 1000,
    'scrapy_toolbox.error_processing.ErrorProcessingMiddleware': 1000,
}

# Example when using a MySQL
DATABASE = {
  'drivername': 'mysql+pymysql', 
  'username': '...',
  'password': '...',
  'database': '...',
  'host': '...',
  'port': '3306'
}

DATABASE_DEV = {
    'drivername': 'mysql+pymysql',
    'username': '...',
    'password': '...',
    'database': '...',
    'host': '127.0.0.1',
    'port': '3306'
}

Usage

Database Pipeline:

# pipelines.py
from scrapy_toolbox.database import DatabasePipeline

class ScraperXYZPipeline(DatabasePipeline):
  def process_item(self, item, spider):
      ...

# models.py
import scrapy_toolbox.database as db

# then use db.DeclarativeBase as your declarative base
class Car(db.DeclarativeBase):
  ...

Query Data:

# spiderXYZ.py
session = self.crawler.database_session
session.query(models.Market.id, models.Market.zip_code).all()

Process Errors:

scrapy crawl spider_xyz -a process_errors=True
#scrapy-toolbox spider_xyz

Supported versions

This package works with Python 3. It has been tested with Scrapy up to version 1.4.0.

Tasklist

• [] Process Errors from your Database Table "errors" at a later time and execute failed Request: for instance when the website was down or you got an Exception during parsing for specific requests and want to crawl them again

Build Realease

python setup.py sdist bdist_wheel
twine upload dist/*