What is the fastest Twitter scraper?

Is there a way to scrape Twitter?

If you look at an image of a tweet, you could say it was uploaded from a Twitter.

The problem is, though, if it wasn't uploaded from a Twitter directly it will be impossible to get any relevant data from it unless you were to scrape the page's HTML code.

So now we have two more questions which both seem obvious. User7838Aug 2 '11 at 17:16. 6 Answers.
I don't think there's a way to get at those. There is an open bug about it (). Perhaps it'll be fixed one day, but probably not for some time.

If you want to scrape the Twitter feed itself, try using the Tweepy library to parse the output. They don't store a lot of information in the tweets, but they do use the HTTP responses in the "page" (eg ).

There's a couple options. One method is scraping the HTML directly with either the Python library Beautiful Soup or manually constructing a regular expression. That might be feasible with a limited number of pages or for a smaller number of results. You'd need to write code to build the regular expression. There may be existing libraries that can help with this.

Another option is to take a look at how Twitter stores info. There are different parameters for the different parts of the timeline that Twitter provides. These would allow you to get most of what you're looking for even without scraping the HTML.

A further problem would be trying to understand what information each tweet has. It might be easier to look at a stream of updates so that your code could filter out the posts. For example:

Import sys. Try: sys.stdout.buffer.write("".join(tweet)) #Write to stdout
Except UnicodeDecodeError: #If encoding error. Print sys.stderr.read() #Or if unicode error
Except TypeError: print "Error" #Or otherwise. Finally: sys.truncate(0) #Reset stdout buffer

What is the fastest Twitter scraper?

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By Katie Huckeba. (CNN) - So what's the fastest Twitter scraper around, and what information does it have to tell you? It all depends on how you look at things. In a case at the U. District Court in New York, an engineer went to his local library and quickly printed out about 2,000 tweets from one of the big names in the search industry - Bing. He then had a little software program run through them, searching for words like Bing and saving them to a text file.

He went home that night, ran that on a few PCs and put it on the Web. The next morning, he woke up to 2,000 emails, each with a link to his website. All because of one simple software program that did what many people can't do.

Or put another way, a single scraped tweet would have the same effect as 30,000 emails from fans and followers. Of course, if that information went to the wrong person, or even to a wrong place, then this can be a real problem. If you could identify them by their IP address and location - where they are at that exact moment in time - you'd get a very small population, said Gaurav Kapoor, co-founder of a company called Twopi.e. It is a lot more precise and easier than saying, 'We just want someone who has interacted with Bing'. Kapoor says the new technology works in much the same way as Google searches for a particular site: it uses many different means to find out the best results. Google doesn't have a perfect solution for scraping the Web yet. I think we're just a couple years away from that, he said.

The first wave of services began to use scraping in the mid 2000s.

How much does Twitter scraper cost?

Twitter scrapers can be one of the best ways to get high-quality, actionable data from the most important online source of information.

Twitter scrapers have a number of different uses, but they're especially effective for marketing and sales.

However, it's easy to see how a scraper could cost a lot of money. In reality, the price will vary greatly depending on the complexity of the task and the scale of the project. You should always negotiate the price before you agree to the job.

The first step in deciding how much a Twitter scraper will cost is deciding how much time you need to spend on it. This includes the cost of the hourly rate for the developer and also the hourly rate for the QA team.

Another problem with high-quality scraper projects is that they tend to be time-consuming. A lot of time is spent on gathering data, testing the scraper, and running through all of the data for errors.

To make sure that a scraper is worth your time, it should require minimal human intervention. It should automatically pull the data you need and allow you to analyze it in the way that you want.

That means that it's easy to estimate the costs based on the number of hours that it takes to complete the project. But these estimations often don't cover the costs that may arise while working on the project.

The price for scraper scripts. A high-quality Twitter scraper script will typically need to be developed by a professional developer. It's easy to write scraper scripts on your own, but you may find that you end up spending a lot of time trying to find bugs and fix them.

This might take a lot of time. It's important to test each script thoroughly and to make sure that it works as expected. If you can find bugs before it goes live, you'll save time and money.

To find bugs before the scraper goes live, you'll need to create a test account that you use for testing.

Is it illegal to scrape Twitter data?

But the way it's going about pursuing that fine feels unethical.

I'd heard that Twitter was planning to start issuing takedown requests to the media and bloggers that write about the service without their permission. The reason for doing so? To protect the users. That is, to protect those who want their data removed from public view. I thought that would make perfect sense. However, when I read on Techdirt, by my former colleague, Mike Orcutt, about the company's recent attempt to settle a trademark infringement suit, that struck me as strange. It seemed to me that if it wants its data scrubbed from public view -- even those who own it don't really care about -- why don't they just say so? Not that they couldn't. All they'd have to do is take down a list of all of their data and say: "this page will no longer function."

"But that's what Twitter did and that's why it had to go through a costly, public legal battle." That's actually not what Twitter did. The site has been scrubbing its content for quite some time. The reason it didn't come right out and admit what it's been doing was because it would be obvious to anyone that this was a public service rather than an advertising opportunity.

And that's where the problem lies, isn't it? Twitter doesn't even know what it's trying to protect. As such, to a non-Twitter user, Twitter's scrubbing of data is as pointless as a doctor telling you not to breathe. You're just not clear on how vital it is to your well-being. It's not your data. And if you were given control over it, it might not be so easily protected by a simple copyright claim. After all, it's public. Which is why, in a court of law, it'd be very difficult to remove a copyright claim in an effort to protect someone else's privacy. Even someone on the other side of the case would agree.

It has become common practice for tech firms like Facebook and Apple to push content out of favor of the social network into their walled garden, often taking over control of a product.