Paste a Twitter URL into our Twitter URL Scraper to retrieve usernames, profile photos, follower count, tweets, hashtags, favorite count, and more. Export the scraped datasets, initiate the scraper through Real Data API, set up schedules, monitor runs, or seamlessly integrate with other tools.
This Twitter URL scraper exclusively gathers publicly available data, ensuring access without the need to log in to Twitter or accept its terms of use. It's important to note that if you have accepted Twitter's terms of use, there might be limitations on your ability to scrape data. In such instances, it is advised to review the terms and make an informed decision.
Twitter.com boasts 217 million active daily users, making it a valuable source of data for marketing and research in the realm of social media. The extracted data can be utilized in various ways, such as:
Brand Monitoring: Track discussions about your brand, products, country, or city.
Competitor Analysis: Monitor your competitors' popularity and activities to gain a competitive edge.
Trend Analysis: Stay updated on emerging trends and fashions in real-time.
AI Model Training: Use the data to train AI models or for academic research.
Sentiment Analysis: Monitor sentiment to safeguard your investments.
Fake News Detection: Identify spreading patterns of misinformation to combat fake news.
Travel Insights: Explore discussions about travel destinations, services, and amenities to tap into local knowledge.
Consumer Behavior Analysis: Analyze consumer habits to develop new products or target underdeveloped niches.
For further inspiration on how scraping Twitter.com can benefit your business or organization, explore our industry pages.
Scraping Twitter.com with the Twitter URL scraper is a straightforward process. Follow these steps to obtain your data in just a few minutes:
Click on "Try for free."
Copy a URL from Twitter.com that you wish to scrape and paste it into the actor.
Click on "Start."
Once the Twitter URL scraper has completed the process, preview or download your data from the Dataset tab.
Supported Twitter URL Types:
Profile: https://twitter.com/elonmusk
Status: https://twitter.com/elonmusk/status/1356381230925635591
On average, the Twitter URL scraper can retrieve up to 800 results per URL (or one result for status URLs). It's essential to note that the number of results may vary due to the complexity of the input, location, and other factors related to scraping Twitter.com. There is no fixed number that universally applies to all use cases, as several variables come into play:
Input Dependency: The website may produce different results based on the type or value of the input.
Internal Website Limits: The website itself might have internal limitations that cannot be surpassed by any scraper.
Scraper Limitations: The scraper might have its own limits, which are continuously being improved.
Determining the cost of scraping Twitter URLs can be complex due to the variability in use cases. To estimate the resources required for data extraction, it is recommended to conduct a test scraping using a smaller sample of input data and limiting the output. This will provide the pricing per scrape, which can then be multiplied by the intended number of scraping.
The actor saves its results in the default dataset linked to the actor run. The data is available for download in machine-readable formats like HTML, JSON, Excel, or CSV. Each entry in the dataset corresponds to an individual tweet and adheres to the following format:
{
"user": {
"id_str": "44196397",
"name": "Elon Musk",
"screen_name": "elonmusk",
"location": "",
"description": "",
"followers_count": 42583621,
"fast_followers_count": 0,
"normal_followers_count": 42583621,
"friends_count": 104,
"listed_count": 59150,
"created_at": "2009-06-02T20:12:29.000Z",
"favourites_count": 7840,
"verified": true,
"statuses_count": 13360,
"media_count": 801,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1295975423654977537/dHw9JcrK_normal.jpg",
"profile_banner_url": "https://pbs.twimg.com/profile_banners/44196397/1576183471",
"has_custom_timelines": true,
"advertiser_account_type": "promotable_user",
"business_profile_state": "none",
"translator_type": "none"
},
"id": "1338857124508684289",
"conversation_id": "1338390123373801472",
"full_text": "@CyberpunkGame The objective reality is that it is impossible to run an advanced game well on old hardware. This is a much more serious issue: https://t.co/OMNCTa9hJY",
"reply_count": 792,
"retweet_count": 669,
"favorite_count": 17739,
"hashtags": [],
"symbols": [],
"user_mentions": [
{
"screen_name": "CyberpunkGame",
"name": "Cyberpunk 2077",
"id_str": "821102114"
}
],
"urls": [
{
"url": "https://t.co/OMNCTa9hJY",
"expanded_url": "https://www.pcgamer.com/the-more-time-i-spend-in-cyberpunk-2077s-world-the-less-i-believe-in-it/",
"display_url": "pcgamer.com/the-more-time-…"
}
],
"url": "https://twitter.com/elonmusk/status/1338857124508684289",
"created_at": "2020-12-15T14:43:07.000Z"
}
Finally, the Twitter URL Scraper seamlessly integrates with nearly any cloud service or web app through integrations available on the Real Data API platform. Connect with Make, Slack, Airbyte, Zapier, Google Drive, GitHub, Google Sheets, and more. Alternatively, utilize webhooks to trigger specific actions whenever an event occurs, such as receiving a notification upon the successful completion of a Twitter URL Scraper run.
Harness the power of the Real Data API to gain programmatic access to the Real Data API platform. This API is structured around RESTful HTTP endpoints, providing capabilities to manage, schedule, and perform Real Data API actors. It facilitates access to datasets, performance monitoring of actors, fetching results, version creation and updates, and more.
For Node.js, access the API with the Real Data API-client NPM package. For Python, utilize the Real Data API-client PyPI package.
Explore the comprehensive Real Data API reference docs for in-depth details or navigate to the API tab for code examples.
It's important to note that personal data is protected by GDPR in the European Union and other global regulations. Scraping personal data should only be done if there is a legitimate reason to do so. If unsure about the legitimacy of your reason, it is advisable to consult with legal professionals. Additionally, consider reading our blog post on the legality of web scraping.
If you require more detailed data from Twitter or need to use different inputs, consider using our Twitter Scraper. While it may be a bit more complex to set up, it offers customization options to suit your needs. Contact us for more details.
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Disclaimer : Real Data API only extracts publicly available data while maintaining a strict policy against collecting any personal or identity-related information.
