Skip to main content

Media Fetcher

PyPI

Problem statement

Solution

media-fetcher performs fetching of images and videos performance from various data sources.

Deliverable (implementation)

media-fetcher is implemented as a:

  • library - Use it in your projects with a help of media_fetching.MediaFetchingService class.
  • CLI tool - media-fetcher tool is available to be used in the terminal.

Deployment

Prerequisites

Installation

Install media-fetcher with pip install media-fetching command.

Usage

Fetching media

Once media-fetcher is installed you can call it:

media-fetcher \
  --source <MEDIA_SOURCE> \
  --media-type <MEDIA_TYPE> \
  --extra_info <EXTRA_INFO_MODULES> \
  --writer <WRITER_TYPE> \
  --output <OUTPUT_FILE_NAME>

where:

  • <SOURCE> - source of media data:
    • googleads - fetch all assets from a Google Ads account / MCC.
    • file - fetch all assets with their tags and metrics from CSV files
    • youtube - fetch public videos from a YouTube channel.
  • <MEDIA_TYPE> - type of media (YOUTUBE_VIDEO, VIDEO, IMAGE).
  • <WRITER_TYPE> - writer identifier (check available options at garf-io library).
  • <OUTPUT_FILE_NAME> - name of the file to store results of tagging (by default media_results).

Source customizations

Source customizations are performed via --source.parameters=value syntax (i.e. --googleads.account=1)

  • googleads:

    Mandatory:

    • account=ACCOUNT_ID

    Optional:

    • ads_config_path=PATH-TO-GOOGLE-ADS-YAML
    • campaign-types=CAMPAIGN_TYPE
    • start-date=YYYY-MM-DD
    • end-date=YYYY-MM-DD
  • youtube:

    Mandatory:

    • channel=YOUTUBE_CHANNEL_ID
  • file:

    Mandatory:

    • path=PATH_TO_FILE

    Optional:

    • media_identifier=IDENTIFIER_OF_MEDIA
    • metric_names=COMMA_SEPARATED_METRIC_NAMES
  • bq:

    Mandatory:

    • table=FULLY_QUALIFIED_TABLE_NAME (in project.dataset.table format)

    Optional:

    • media_identifier=IDENTIFIER_OF_MEDIA
    • metric_names=COMMA_SEPARATED_METRIC_NAMES
  • sqldb:

    Mandatory:

    • connection_string=DATABASE_CONNECTION_STRING (in SQLAlchemy format)
    • table=TABLE_NAME

    Optional:

    • media_identifier=IDENTIFIER_OF_MEDIA
    • metric_names=COMMA_SEPARATED_METRIC_NAMES

Available extra info modules

Source customizations are performed via --extra-info module.method syntax (i.e. --extra-info tagging.languages,googleads.main_geo)

Currently supported modules:

  • googleads:

    • main_geo - identifies main spending country for a media.
    • approval_rate - calculates approval rate (from 0 to 1) for each media.
  • tagging:

    • language - identifies language of a media.
  • youtube:

    • language - identifies language of YouTube Video based on YouTube Data API.

Metadata

Release files for media-fetching 0.7.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for media-fetching 0.7.0
File Size Uploaded
media_fetching-0.7.0.tar.gz 21.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for media-fetching 0.7.0
File Interpreter ABI Platform
media_fetching-0.7.0-py3-none-any.whl Python 3 none any Details

Total release size: 58.8 kB

Release files / media_fetching-0.7.0.tar.gz

Download URL media_fetching-0.7.0.tar.gz
Size 21.5 kB
Tags Source
SHA-256 checksum
How to use checksums
ebb0fdef8e9b6edf050a6fdda217d03e20b1820bdeb6dcb0c898d22dace2c1de
BLAKE2b-256 checksum
How to use checksums
4570a697c4b7d02fddef41c9761659847edf8779cd9f9ef3f03da8916b7cb34f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.18 {"installer":{"name":"uv","version":"0.12.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / media_fetching-0.7.0-py3-none-any.whl

Download URL media_fetching-0.7.0-py3-none-any.whl
Size 37.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
fdf86fae53c257971a02b45f1a99c1af2536f28c18654e94f7686bb48c6c10c2
BLAKE2b-256 checksum
How to use checksums
9a5ca34c328baada0cd0fc4860d55e3abf4ecaf8fda4910c5e7461fde022bc73
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.18 {"installer":{"name":"uv","version":"0.12.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release history Release notifications | RSS feed

0.7.1

2 release files

This release

0.7.0 This release

2 release files

0.6.5

2 release files

0.6.4

2 release files

0.6.3

2 release files

0.6.2

2 release files

0.6.1

2 release files

0.6.0

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.2

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.6

2 release files

0.3.5

2 release files

0.3.4

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.5

2 release files

0.2.4

2 release files

0.2.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page