Importing bulk content into WordPress – part 2

On the previous tutorial, we learned about how to import content into a WordPress site. In this tutorial, I will explain how to import bulk images into a WordPress site.

I will also put a download link of a script with sample files so you can install and run it on your system.

Please go through part 1 on things that are required before using the API feature of WordPress.

Here’s the quick overview of requirements before we start.

1. Basic – Auth Plugin: https://github.com/WP-API/Basic-Auth
2. Python >= 3
3. Administrator username and password of your WordPress site.

Libraries used for uploading images are,

import requests
import csv
import json
import os
import re

def upload_images(self):
    """upload files from local directory to the wordpress site

    :returns: ids of uploaded images | list

    """
    url = self.domain+"/wp-json/wp/v2/media/"
    upload_file_ids = []
    with os.scandir('images/') as d:
        for entry in d:
            if entry.is_file():
                path = entry.path
                filename = re.search('.*\/(.*?)\.(.*)', path)
                if filename:
                    name = filename.group(1)
                    image_type = filename.group(2)
                else:
                    return None
                data = open(path, 'rb').read()
                headers = dict()
                headers['Content-Type'] = 'image/'+image_type
                headers['Content-Disposition'] = 'attachment; filename=%s'% name+"."+image_type
                response = self.request.post(url, data=data, headers=headers)
                content = json.loads(response.text)
                upload_file_ids.append(content['id'])
    return upload_file_ids

This function loops through all the files in the images folder and uploads them into WordPress.

Download complete code with a sample image.

Download “Full script with post and image import” blog_wordpress_import-1.zip – Downloaded 9 times – 84 KB

Import bulk content into WordPress site with sample data and running python script.