Content Search Scraper

Content Search Scraper helps you find posts and content by keyword and turn them into a clean, easy-to-read list. It is built for marketers, researchers, analysts, and creators who need fast access to social content without digging through endless search results. Use it to search by keyword, narrow results by type such as Top or Latest, and collect the most relevant details in one place. It automatically gathers additional pages when needed so you can get more complete results with less effort.

Key Features

• Extract matching posts and content from a keyword search in a simple, readable format.
• Collect the most relevant details for each result, including title-like text, preview text, source, and identifiers.
• Filter results by search type to focus on Top, Latest, Media, People, or Lists.
• Expand your search automatically across multiple pages until your requested result limit is reached.
• Save time by getting cleaned results that are easier to review than raw search pages.
• Support research, monitoring, and content discovery workflows with one flexible search tool.
• Deliver results in a format that is easy to export, share, and analyze.

Use Cases

Social Listening

Brand and communications teams use this actor to search for mentions of a product, company, or topic and review the returned text, screen_name, created_at, and engagement fields like favorites, replies, and retweets. This makes it easier to spot what people are saying, identify high-interest posts, and understand the tone of the conversation.

Market Research

Researchers can search for a keyword related to a trend, competitor, or industry topic and quickly scan the text, lang, views, and user_info fields. The results help teams understand what content is gaining attention, who is posting it, and how audiences are reacting.

Content Discovery

Creators and editors use the actor to find posts worth referencing, resharing, or turning into new content. By reviewing the text, media, source, and created_at fields, they can identify timely posts, visual content, and recurring themes that may inspire future campaigns.

Competitor Tracking

Marketing teams can search for competitor names, product launches, or campaign phrases and compare the returned posts by favorites, quotes, replies, and views. This helps them see which messages are resonating and which accounts are driving the most attention.

Audience Analysis

Community managers and analysts can review the user_info fields such as followers_count, verified, location, and description to understand who is posting about a topic. Combined with the post text and engagement metrics, this gives a clearer picture of the audience behind the conversation.

Media and Trend Monitoring

Teams focused on visual or fast-moving topics can use the search_type filter to narrow results and review posts that include media details. This is useful for tracking trending images, videos, and posts that are spreading quickly across the platform.

Input

Field	Type	Required	Description	Example
query	string	Yes	The word or phrase you want to search for.	superman
max_results	integer	No	The maximum number of results you want returned.	10
search_type	string	No	Choose how the search should be focused, such as Top, Latest, Media, People, or Lists.	Latest

Output

Field	Type	Description
type	string	The kind of result returned, so you can quickly understand what you are looking at.
tweet_id	string	A unique identifier for the post, useful for tracking or referencing the result later.
screen_name	string	The account name that posted the content.
bookmarks	integer	How many times the post was bookmarked, which can indicate interest or usefulness.
favorites	integer	How many likes the post received.
created_at	string	The date and time the post was published.
text	string	The main content of the post, shown in a cleaned and readable form.
lang	string	The language of the post.
display_text_range	array	The visible text range for the post content.
source	string	Where the post was published from, such as a web app or mobile app.
quotes	integer	How many times the post was quoted.
replies	integer	How many replies the post received.
conversation_id	string	The conversation thread identifier for the post.
retweets	integer	How many times the post was reshared.
views	string	The number of views the post received.
entities	object	Extra content details such as hashtags, links, mentions, timestamps, or media references.
user_info	object	Profile details about the account that posted the content.
media	object	Media attached to the post, such as images or videos, when available.

Sample Output

{
  "type": "tweet",
  "tweet_id": "2071437744832962670",
  "screen_name": "xsphyre",
  "bookmarks": 63,
  "favorites": 649,
  "created_at": "Mon Jun 29 03:36:58 +0000 2026",
  "text": "Man of Steel sold over 74 million tickets worldwide, hitting a box office total of $670M. This puts the revenue per ticket at $9.05...",
  "lang": "en",
  "display_text_range": [0, 279],
  "source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
  "quotes": 8,
  "replies": 55,
  "conversation_id": "2071437744832962670",
  "retweets": 96,
  "views": "35659",
  "entities": {
    "hashtags": [],
    "symbols": [],
    "urls": [],
    "user_mentions": []
  },
  "user_info": {
    "screen_name": "xsphyre",
    "name": "𝓧𝓼𝓹𝔂𝓻𝓮",
    "created_at": "Fri Oct 07 20:16:22 +0000 2022",
    "description": "",
    "rest_id": "1578479256098988034",
    "followers_count": 472,
    "favourites_count": 27544,
    "avatar": "https://pbs.twimg.com/profile_images/2050248880047177728/Ft6qpKwA_normal.jpg",
    "url": null,
    "cover_image": "https://pbs.twimg.com/profile_banners/1578479256098988034/1777650865",
    "verified_type": null,
    "verified": true,
    "friends_count": 261,
    "location": "🤍🖤"
  },
  "media": {
    "video": [
      {
        "media_url_https": "https://pbs.twimg.com/tweet_video_thumb/HL85hQpbwAENRQi.jpg",
        "variants": [
          {
            "bitrate": 0,
            "content_type": "video/mp4",
            "url": "https://video.twimg.com/tweet_video/HL85hQpbwAENRQi.mp4"
          }
        ],
        "aspect_ratio": [199, 103],
        "duration": null,
        "original_info": {
          "focus_rects": [],
          "height": 412,
          "width": 796
        },
        "id": "2071437597180936193"
      }
    ]
  }
}

How It Works

1. You enter the keyword or phrase you want to search for.
2. You optionally choose a search type to focus the results.
3. The actor searches for matching posts and content and gathers the most relevant details.
4. If there are more results than fit on one page, it continues automatically until it reaches your requested limit.
5. You review the cleaned results and use them for research, reporting, or content planning.

Getting Started

Getting started is simple and does not require coding knowledge. Click Try for free, enter your search keyword, optionally choose a search type, and set the maximum number of results you want. Then click Run and let the actor do the work for you. When it finishes, your results are ready to view and download in 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 enter a search term, choose optional filters if you want them, and run the actor.

How fast does it run?

Speed depends on how broad your search is and how many results you request. Smaller searches usually finish quickly, while larger searches may take a bit longer because the actor automatically gathers more pages when needed.

What format is the output?

Your results are available in easy-to-use formats such as JSON, CSV, or Excel. This makes it simple to review the data, share it with teammates, or import it into your own reporting workflow.

Is this legal to use?

The actor is intended for lawful research, monitoring, and content discovery use cases. You should always make sure your use follows applicable laws, platform rules, and your organization’s policies.

Can I schedule it to run automatically?

Yes, you can set it up to run on a schedule if you want regular updates. This is useful for ongoing monitoring, trend tracking, and keeping an eye on new posts that match your keyword.