Tweet Retweeter Scraper

Tweet Retweeter Scraper helps you quickly find the users who retweeted a specific tweet, making it easy to analyze engagement, audience interest, and social proof on X/Twitter. It is built for marketers, researchers, creators, and growth teams who need reliable retweeter data without manual checking. Enter a tweet ID and get the retweeter list back in a clean, structured format, including the raw response data exactly as returned. If you need to track tweet engagement, study audience behavior, or collect retweeter profiles for reporting, this actor gives you a fast and practical way to do it.

Key Features

• Extract the users who retweeted a specific tweet using only the tweet ID.
• Collect rich retweeter details such as name, screen name, bio, follower count, and more.
• Preserve the raw returned data exactly as provided, so you keep all available fields.
• Continue gathering additional retweeters automatically when more results are available.
• Stop after your chosen maximum number of results to keep collections focused.
• Export results in a format that is easy to review, share, and analyze.
• Support repeatable workflows for monitoring tweet engagement over time.

Use Cases

Social Media Analytics

Social media managers use this actor to understand who is amplifying a tweet and how strong the engagement is. The returned fields like screen_name, name, followers_count, and statuses_count help teams judge whether retweeters are casual users, niche creators, or accounts with meaningful reach. This makes it easier to report on campaign performance and identify which posts are resonating.

Audience Research

Researchers and brand teams can review retweeter profiles to learn more about the audience behind a tweet. Fields such as description, friends_count, followers_count, and media_count help reveal interests, account activity, and profile quality. That information can guide content strategy, audience segmentation, and messaging decisions.

Influencer and Creator Discovery

Creators and partnership teams can use retweeter data to spot accounts that consistently engage with relevant content. By looking at screen_name, name, and profile descriptions, they can identify potential collaborators, advocates, or community members worth following up with. This is especially useful when a tweet attracts attention from people in a specific niche.

Competitive Intelligence

Analysts can inspect retweeters of competitor tweets to see which audiences are responding to similar content. The profile fields returned by the actor help teams compare follower size, posting activity, and account style across different retweeter groups. This can support positioning decisions, content benchmarking, and campaign planning.

Community Management

Community managers can use the output to recognize active supporters and recurring engagers. When a tweet is shared by users with visible profiles and bios, it becomes easier to identify loyal community members and respond appropriately. This can improve relationship building and help teams prioritize outreach.

Reporting and Internal Dashboards

Operations and marketing teams can feed the returned retweeter data into reports or dashboards for ongoing tracking. Because the actor returns the raw data exactly as provided, it is easier to keep the original structure intact for downstream analysis. This helps teams maintain consistent reporting across campaigns and time periods.

Input

Field	Type	Required	Description	Example
id	String	Yes	The tweet ID you want to inspect.	1738106896777699464
max_results	Integer	No	The maximum number of retweeters to collect before stopping.	100

Output

Field	Type	Description
user_id	String	The unique ID of the user who retweeted the tweet. Useful for identifying the account behind the profile.
screen_name	String	The user’s public handle. Helpful for quickly recognizing or searching the account.
description	String	The bio text from the user’s profile, which can reveal interests, role, or niche.
profile_image	String or Null	The user’s profile image link when available, or null if none is provided.
statuses_count	Integer	The number of posts the account has made, which can indicate how active the user is.
followers_count	Integer	The number of followers the account has, which helps estimate reach and influence.
friends_count	Integer	The number of accounts the user follows, which can help describe account behavior.
media_count	Integer	The number of media posts associated with the account, useful for understanding content activity.
name	String	The display name shown on the profile, which helps identify the person or brand.

Sample Output

{
  "user_id": "282835047",
  "screen_name": "futureSpaceXAl",
  "description": "Starmind",
  "profile_image": null,
  "statuses_count": 43083,
  "followers_count": 4351,
  "friends_count": 1991,
  "media_count": 1213,
  "name": "Future Innovation"
}

How It Works

1. You enter the tweet ID for the post you want to inspect.
2. You choose how many retweeters you want to collect, if you want to limit the results.
3. The actor gathers the retweeter list automatically and keeps going when more results are available.
4. It stops when it reaches your chosen limit or when there are no more retweeters to collect.
5. You receive the results in a structured format that is ready to review, download, or use in your workflow.

Getting Started

Getting started is simple and does not require coding knowledge. Click Try for free, paste in the tweet ID, optionally set the maximum number of results, and click Run. The actor will collect the retweeter data for you automatically. When it finishes, you can view and download the results as JSON, CSV, or Excel.

Frequently Asked Questions

Do I need technical skills?

No. This actor is designed for business users, marketers, researchers, and creators who want results without dealing with complicated setup. You only need to provide the tweet ID and start the run.

How fast does it run?

Speed depends on how many retweeters are available for the tweet and how many results you ask for. Smaller requests usually finish quickly, while larger collections may take longer because the actor keeps gathering additional pages of results when needed.

What format is the output?

The results are available in easy-to-use formats such as JSON, CSV, and Excel. That makes it simple to review the data manually, share it with teammates, or import it into reports and spreadsheets.

Is this legal to use?

You should always use the data in a way that follows applicable laws, platform rules, and your organization’s policies. This actor is intended for legitimate research, analytics, and business workflows, and you are responsible for using the results appropriately.

Can I schedule it to run automatically?

Yes, you can set it up to run on a schedule if you want to monitor tweet engagement regularly. This is useful for recurring reporting, campaign tracking, or watching how retweeter activity changes over time.