如何获取多个Twitter账号2021年9月1日至2022年2月9日的粉丝数历史数据？寻求付费或免费的API及可行方法

Hey there! Let's break down the best ways to get historical follower count data for multiple Twitter accounts between September 1, 2021 and February 9, 2022—covering both free and paid options:

Paid Solutions #

• Twitter API v2 (Enterprise Access)
  Twitter's official enterprise-level API is the most reliable way to get granular historical account metrics, including follower counts. You'll need to apply for enterprise access, which gives you access to endpoints that can pull historical data for multiple accounts in bulk. The time range you're targeting is fully covered here, and you'll pay based on usage tiers or a custom plan. This is ideal if you need precise, continuous data without gaps.

• Third-Party Social Analytics Tools
  Tools like Brandwatch, Sprout Social, or Social Blade offer pre-archived historical Twitter metrics. Most of these platforms let you input multiple account handles, select your desired date range, and export follower count data as CSV or Excel files. They handle all the data aggregation for you, so no coding is required—perfect if you want a hassle-free solution. Pricing varies by tool and usage volume.

Free Solutions #

• Wayback Machine (Manual or Automated)
  The Internet Archive's Wayback Machine captures periodic snapshots of Twitter profile pages. You can manually look up each account's snapshots between your target dates to record follower counts, or automate this with a script. For example, use Python's requests library to fetch snapshot URLs from Wayback's API, then parse the HTML with BeautifulSoup to extract the follower count element. Note that snapshots aren't taken every day, so you might have gaps in your data.

• Public Historical Datasets
  Some developers or researchers publish datasets of periodically scraped Twitter metrics on platforms like GitHub. Search for terms like "Twitter follower count historical dataset" to see if any existing archives cover the accounts and date range you need. This is hit-or-miss, but it's worth checking if you're working with well-known accounts that others have tracked.

Key Notes #

• Always adhere to Twitter's Developer Agreement and Policy when using any API or scraping method—avoid scraping at a rate that violates their terms.
• Paid solutions will give you more consistent, complete data with less effort, which is worth considering if you need reliable results for multiple accounts.
• If you go the automated Wayback route, make sure to handle cases where snapshots don't exist for specific dates, and validate the extracted data to avoid errors.

内容的提问来源于stack exchange，提问作者mark