Utilities that integrate advance scraping knowledge into just one library.

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  • License: GNU General Public License v3 (GPLv3)
  • Author: DataMarket
  • Requires: Python >=3.7
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Project description

DataMarket scraping core

Code style: black

Utilities that integrate advance scraping knowledge into just one library.

Installation

To install this library in your Python environment:

pip install datamarket

Documentation

This library has built functionalities for the following topics:

  • Databases: through sqlalchemy it allows to insert records and perform queries in any database.
  • Proxies: wide range of functions to perform HTTP requests through custom proxies or the Tor network.
  • Tinybird: a Python client for this popular API.
  • Drive: functions to upload, delete or authenticate to Google Drive.
  • FTP: functions to upload, delete or authenticate to an FTP, SFTP or FTPS server.
  • Selenium: wrapper for the main Selenium functions.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for datamarket from gravatar.com datamarket

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3)
  • Author: DataMarket
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

0.7.18

0.7.17

0.7.16

0.7.15

0.7.14

0.7.13

0.7.12

0.7.11

0.7.10

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.18

This version

0.6.17

0.6.16

0.6.15

0.6.14

0.6.13

0.6.12

0.6.11

0.6.10

0.6.9

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.20

0.5.19

0.5.18

0.5.17

0.5.16

0.5.15

0.5.14

0.5.13

0.5.12

0.5.11

0.5.10

0.5.10a0 pre-release

0.5.9

0.5.8

0.5.7

0.5.6

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.4.9

0.4.8

0.4.7

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

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