The **Twitter Posts Scraper** extracts detailed information from any public Twitter post. Simply provide the URL, and the scraper will gather data like post text, user info, engagement metrics, and more. Perfect for analyzing trends and tracking social media interactions.
Interested in using this scraper? Get it here: Twitter Posts Scraper. Scrape Twitter posts and extract detailed information in bulk.
Comprehensive Data Extraction: Extract detailed data from Twitter posts including text content, user information, engagement metrics, and media attachments. This allows for a complete analysis of the posts' reach and user interaction.
Data Export and Integration: Once the scraping process is complete, you can easily export the extracted data in various formats such as JSON, CSV, or Excel. You can select the fields you want, allowing for seamless integration with other tools and platforms for further analysis and utilization.
Automatic Retry and Error Handling: In case of temporary issues like network failures or timeouts, the scraper has built-in automatic retry functionality. It intelligently handles errors to ensure a smooth and uninterrupted scraping experience.
Ability to Resume Last Failed Runs: In case of unexpected errors, you can simply go to the scraper's last run page and click on the 'Resurrect' button to resume the last scraping progress.
Here is a sample output of this scraper:
1{ 2 "biography": "Here we go! © fabrizio.romano93@gmail.com 📩", 3 "bookmarks": 756, 4 "date_posted": "2023-07-24T19:26:23.000Z", 5 "description": "Here we go? Al Hilal you can take me. I look like Kylian Mbappe", 6 "external_url": null, 7 "followers": 21754744, 8 "following": 2583, 9 "hashtags": null, 10 "id": "1683559267524136962", 11 "input": { 12 "url": "https://x.com/FabrizioRomano/status/1683559267524136962/" 13 }, 14 "is_verified": false, 15 "likes": 259030, 16 "name": "Fabrizio Romano", 17 "photos": null, 18 "posts_count": 46594, 19 "profile_image_link": "https://pbs.twimg.com/profile_images/1741753635158024192/j0m8Ucvv_normal.jpg", 20 "quoted_post": { 21 "date_posted": null, 22 "description": "Al Hilal you can take me. I look like Kylian Mbappe 😂😂👀 https://t.co/VH0syez3VX", 23 "photos": [ 24 "https://pbs.twimg.com/media/F10rS33WwAAJOQo.jpg" 25 ], 26 "post_id": "1683549442287255552", 27 "profile_id": "Giannis_An34", 28 "profile_name": "Giannis Antetokounmpo", 29 "url": "https://x.com/Giannis_An34/status/1683549442287255552", 30 "videos": null 31 }, 32 "quotes": 607, 33 "replies": 2752, 34 "reposts": 14319, 35 "tagged_users": null, 36 "url": "https://x.com/FabrizioRomano/status/1683559267524136962", 37 "user_posted": "FabrizioRomano", 38 "videos": null, 39 "views": 19844857 40}
Here is the JSON fields documentation without including the sample values:
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!