技术问询：能否通过API获取Vimeo数据库中所有视频列表及账户下视频的CSV/XLS格式列表？

Great questions—let's break them down one by one:

1. Can you retrieve all videos in the entire Vimeo database via the API? #

Short answer: No, this isn't possible.

Vimeo's API doesn't expose a way to fetch every video across the entire platform, and for good reason:

• Most videos are user-owned, with varying privacy settings (private, password-protected, unlisted) that restrict access. Vimeo prioritizes user privacy and content ownership, so bulk access to all platform videos isn't permitted.
• Even for public videos, there's no API endpoint designed to scrape the entire database. Rate limits and pagination constraints would make this impractical anyway, and Vimeo actively blocks attempts to misuse the API for mass data harvesting.

2. Can you retrieve all videos from a specific account and export them to CSV/XLS? #

Absolutely—this is a common use case supported by the Vimeo API, though you'll need to handle a few steps:

Step 1: Get proper authorization #

First, you'll need to authenticate with the Vimeo API using OAuth 2.0, requesting the video.read scope (or broader scopes if you need additional access). You'll need to create an app in the Vimeo Developer Portal to get your client credentials, then generate an access token linked to the target account (either your own, or a user who's granted your app permission).

Step 2: Fetch the account's videos #

Use the GET /users/{user_id}/videos endpoint to retrieve videos. The API uses pagination (default is 20 items per page, max 100), so you'll need to loop through the next_page URL provided in each response until there are no more pages left.

Example curl command to fetch the first page of videos for a user:

curl -H "Authorization: Bearer YOUR_ACCESS_TOKEN" https://api.vimeo.com/users/USER_ID/videos?per_page=100

Step 3: Export to CSV/XLS #

Once you've collected all the video data (like title, URL, duration, upload date, privacy status), you can convert the JSON response into a CSV or XLS file using your preferred programming language:

• For Python: Use the pandas library to load the JSON data into a DataFrame, then use df.to_csv() or df.to_excel().
• For JavaScript: Use libraries like csv-writer or xlsx to map the JSON objects into rows and write to a file.

For example, a quick Python snippet to export to CSV:

import pandas as pd
import requests

access_token = "YOUR_ACCESS_TOKEN"
user_id = "TARGET_USER_ID"
all_videos = []
url = f"https://api.vimeo.com/users/{user_id}/videos?per_page=100"

while url:
    response = requests.get(url, headers={"Authorization": f"Bearer {access_token}"})
    data = response.json()
    all_videos.extend(data["data"])
    url = data.get("paging", {}).get("next")

# Convert to DataFrame and export
df = pd.DataFrame(all_videos)
df.to_csv("vimeo_videos.csv", index=False)

内容的提问来源于stack exchange，提问作者Dan