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Download FMinerData Scraper extracts data out of HTML web pages and imports it into Microsoft Excel spreadsheets DataMiner Scraper is a data extraction tool that lets you scrape any HTML web page. Macbook mockup free download. You can extract tables and lists from any page and upload them to Google Sheets or Microsoft Excel. 5) xtract.io xtract.io is a scalable data extraction platform that can be customized to scrape and structure web data, social media posts, PDFs, text documents, historical data, even emails into a consumable business-ready format. Those who use web scraping programs may be looking to collect certain data to sell to other users, or to to use for promotional purposes on a website. Web scraping is also called Web data extraction, screen scraping or Web harvesting.
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For Windows:Free Trial 15 Days, Easy to Install and Uninstall Completely
Pro and Basic edition are for Windows, Mac edition just for Mac OS 10. Recommended Pro/Mac edition with full features.
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FMiner is a software for web scraping, web data extraction, screen scraping, web harvesting, web crawling and web macro support for windows and Mac OS X.
It is an easy to use web data extraction tool that combines best-in-class features with an intuitive visual project design tool, to make your next data mining project a breeze.
Whether faced with routine web scrapping tasks, or highly complex data extraction projects requiring form inputs, proxy server lists, ajax handling and multi-layered multi-table crawls, FMiner is the web scrapping tool for you.
With FMiner, you can quickly master data mining techniques to harvest data from a variety of websites ranging from online product catalogs and real estate classifieds sites to popular search engines and yellow page directories.
Simply select your output file format and record your steps on FMiner as you walk through your data extraction steps on your target web site.
FMiner's powerful visual design tool captures every step and models a process map that interacts with the target site pages to capture the information you've identified.

Using preset selections for data type and your output file, the data elements you've selected are saved in your choice of Excel, CSV or SQL format and parsed to your specifications.
And equally important, if your project requires regular updates, FMiner's integrated scheduling module allows you to define periodic extractions schedules at which point the project will auto-run new or incremental data extracts.
Easy to use, powerful web scraping tool
- Visual design tool
Design a data extraction project with the easy to use visual editor in less than ten minutes.
- No coding required
Use the simple point and click interface to record a scrape project much as you would click through the target site.
- Advanced features
Extract data from hard to crawl Web 2.0 dynamic websites that employ Ajax and Javascript.

- Multiple Crawl Path Navigation Options
Drill through site pages using a combination of link structures, automated form input value entries, drop-down selections or url pattern matching.
- Keyword Input Lists
Upload input values to be used with the target website's web form to automatically query thousands of keywords and submit a form for each keyword.
- Nested Data Elements
Breeze through multilevel nested extractions. Crawl link structures to capture nested product catalogue, search results or directory content.
- Multi-Threaded Crawl
Expedite data extraction with FMiner's multi-browser crawling capability.
- Export Formats
Export harvested records in any number of formats including Excel, CSV, XML/HTML, JSON and popular databases (Oracle, MS SQL, MySQL).

- CAPCHA Tests
Get around target website CAPCHA protection using manual entry or third-party automated decaptcha services.
More Features>>
- If you want us build an FMiner project to scrape a website:
Request a Customized Project (Starting at $99), we can make any complex project for you.
This is working very very well. Nice work. Other companies were quoting us $5,000 - $10,000 for such a project. Thanks for your time and help, we truly appreciate it.
--Nick
Web Scraping Data Extraction Tool
Twitter has 187 Million monetizable monthly active users with the USA, Japan, and India being its largest user base. You can extract tweets data from Twitter profiles, hashtags, timelines for several use-cases:
- Brand Monitoring
- Predictive Analytics
- Competitor Tracking
- Sentiment Analysis
- Training ML Models
- Industry Trends Analysis
- Market Research
- Marketing Optimization
- New Product Innovation
There are several ways to extract data from Twitter:
- Using web scraping tool
- Using open-source scraping packages
- Using Twitter APIs
“Click and scrape” web scraping tools don’t require you to write any code, and thus it is the easiest way to scrape tweets. Open source scraping packages require you to know the native programming language. Plus, it is community-managed, so there is no guarantee of timely updates or bug fixes. The good thing about Twitter API is that it’s scalable and is from Twitter itself, but the dark aspect is that for scraping 5 million tweets, you need to pay $2.5k + developer salary + network resources. This would cost you around 10k+.
While using the click and scrape tool, you can save up to 97% compared to other methodologies, as the professional plan (scrape tweets at speed and scale) costs merely $200. Technically, you can save the entire 100%. But the free plan is not suggested for big data use cases. You can choose whatever suits your scraping budget & requirements.
In this insight, we shall demonstrate how to scrape tweets from Twitter for free using the Octoparse tool:
Method 1: Scrape Twitter using a pre-built tweet scraping template
Step 1: Download Octoparse. Login/register. Select +Task under Task Templates.
Step 2: Select the Twitter template under the Social Mediatab.
Step 3: Set up a Twitter data scraping template. You’ve 5 different options:
- Tweets (URLs): Scrape the latest tweets based on URLs
- Top tweets(post only): Scrape tweet content, tweet ID, etc.,
- Author page (post only): Scrape tweets, likes from the Twitter account page.
- Author page(days before): Custom author page template
- Advanced Search: Scrape tweets and their content, likes, retweets, Twitter author ID, retweets, comments of the post, and comment details.
You can click on any template of your choice, view sample data, and click on use template to start scraping.
Enter a hashtag of your choice on the next screen, an input for the number of scrolls as Twitter has implemented infinite scroll. Only after scrolling new posts load. Next, click Save & Run.
Finally, click on Cloud Extraction, and it starts scraping tweets for the hashtag #fashion or whatever you gave as input. Mac os x indir iso.
Note: Using pre-built templates requires you to have a standard or professional plan, which is quite affordable.
Method 2: Building your own custom Twitter scraping template without any coding
Now, we shall build a custom tweet scraper for Elon Musk’s Tweets.
Hover over +New and select advanced mode. Then enter the target Twitter account URL in the website field. In our case, it is of Elon Musk. Click Save.
On the next screen, if the auto-detect feature is enabled by default, disable it by clicking on Turn OFF Auto-detect. So that we can customize fields.
Create pagination for scrolling feature by clicking in a blank area, and selecting Loop click single element
This creates a pagination loop.
Hover over to the “Click to Paginate” and click on the Gear icon to customize the scraper for infinite scroll. First, activate the Ajax load and give a timeout based on your network speed:
Also, for the “After the page is loaded”, Set the Scroll to “for one screen”. Give the value 5 to the “repeats” field, and set the wait time to 3s.
Why did we perform the above steps?
Twitter and many other social media websites have implemented infinite scroll features for boosting engagement and customer experience. Apple pro touch bar. So, setting the scroll repeats and wait time ensures new tweets are loaded by scrolling the screen and can be scraped dynamically.

Why did we not scroll first and then crawl all the tweets at once?
Because Twitter has implemented a website structure that hides previous tweets from the code and dynamically updates the HTML body to only present max 10 or 12 tweets at any time. This is the reason why despite 5 screen scrolls, we will still get a few duplicate tweets. But guess what? It’s easy to get rid of duplicates in Octoparse. We’ll show how in a few seconds.
Now, select multiple tweet’s top-level DIVs. It automatically selects 6 elements, and then in the Tips window click on Select all sub-elements. Octoparse intelligently selects relevant data points.
Delete unwanted fields and rename them. Observe Octoparse tool selects 15 fields for extracting data. We keep only 8 and delete the rest. Next, click on Extract data in the Tips dialog.
Yayyyy! Our Twitter tweet scraping template is ready! This is how the workflow looks :
One last thing, to make sure right tweet blocks are selected, let’s update the Xpath for Loop Item: //article[contains(@class,”1dbjc4n”)]
Also for demonstration, I’ve limited the number of paginations to 10. Of-course, you need to hover on The Pagination block and click on the gear icon.
That’s it. We’re all set to run the Twitter scraper. Click on the Save button at the top. Ideally, you should click on save every time you modify your workflow. Now, click on the Run button. You can run the tweets crawler on your device, in the cloud with an option to schedule the scrapers. We chose to run on the device:
This tweeter scraper will crawl the latest tweets from Elon Musk. Once the crawling is complete, you’ll see the following screen:
Observe that there are 12 duplicates out of 114 tweet data lines. When you click on Export data, the next screen presents you with an option to remove duplicates. Of course, we’re going to select that. Why care about duplicate data? Nobody wants it.
Now, having removed the duplicates and post scraping 100+ tweets in almost no time, let’s export it in XLS format. You can also scrape in JSON, CSV, and HTML. If you wish to export to a cloud database or your on-device database, that’s very much possible by clicking on “Export to database”. Press OK.
If you see the following screen (which you’ll certainly, if you’ve followed this tutorial properly), then congrats!! You’ve learned to scrape tweets for free.
Here’s how it looks in the Google Sheets:
Conclusion
In this tutorial on “how to scrape and download tweets for free”, we saw different ways in which businesses can harness social data and especially the tweets data. From brand monitoring to keeping an eye on competitors, and from training ML models to developing new products, social data can help transform your business if done right. For scraping tweets we touched on different methodologies like using open-source libraries, Twitter APIs, No-code scraping tools. And then demonstrated using my favorite and one of the most popular no-code web scraping tools i.e, Octoparse. We covered two ways to scrape tweets:
- Using pre-built templates, which hardly takes 20 seconds to start scraping tweets at scale and speed.
- Using custom-built tweet scraping workflow, which takes less than 3 minutes to set up and start scraping
For more resources on scraping, smash here.
Web Scraping Data Extraction Software
Wish you a great time scraping Twitter!
Data Extraction Services
- How to Scrape and Download Tweets for Free - April 22, 2021
