Загрузка видео...

Не удалось загрузить видео

На главную

Introducing Web Scraper - a tiny tool to extract data from any website. Extract data from any site Zero config Dev-friendly

mddanishyusuf's profile picture

Mohd Danish

15,428 subscribers

141,037 просмотров • 5 месяцев назад •via X (Twitter)

ОбразованиеНаука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Quickly extract data from any website #bugbounty #bugbountytips
0:49

Quickly extract data from any website #bugbounty #bugbountytips

Bug Bounty Reports Explained

39,245 просмотров • 2 лет назад

You can now scrape any website with AI in two clicks. Thunderbit is a zero-setup web scraper that extracts data from any site instantly, it even allows you subpage scraping. Here’s how to try free:
0:22

You can now scrape any website with AI in two clicks. Thunderbit is a zero-setup web scraper that extracts data from any site instantly, it even allows you subpage scraping. Here’s how to try free:

Alvaro Cintas

27,254 просмотров • 8 месяцев назад

The Firecrawl plugin is now available through Anthropic's official marketplace 🔌 1. Run /plugin 2. Install Firecrawl 3. Ask Claude to fetch the web data you need Scrape and extract data from any website, directly inside Claude Code!
0:29

The Firecrawl plugin is now available through Anthropic's official marketplace 🔌 1. Run /plugin 2. Install Firecrawl 3. Ask Claude to fetch the web data you need Scrape and extract data from any website, directly inside Claude Code!

Firecrawl

91,663 просмотров • 5 месяцев назад

DarkWeb Scraping DeepWebHarvester is a powerful tool designed to scrape onion sites on the dark web, enabling comprehensive crawling and extraction of valuable data. – A demo that illustrates how I extract data from an onion site ethically using the tool: #Cybersecurity
8:47

DarkWeb Scraping DeepWebHarvester is a powerful tool designed to scrape onion sites on the dark web, enabling comprehensive crawling and extraction of valuable data. – A demo that illustrates how I extract data from an onion site ethically using the tool: #Cybersecurity

Tech Enthusiast

18,787 просмотров • 11 месяцев назад

Introducing llms.txt Generator ✨ You can now concatenate any website into a single text file that can be fed into any LLM. We crawl the whole website with and extract data with gpt-4o-mini. Create your own llms.txt at
0:20

Introducing llms.txt Generator ✨ You can now concatenate any website into a single text file that can be fed into any LLM. We crawl the whole website with and extract data with gpt-4o-mini. Create your own llms.txt at

Eric Ciarla (hiring)

230,037 просмотров • 1 год назад

Excited to announce A website that turns any website into a get API with /extract endpoint. Data on the web has never been more accessible! Thanks to , for starting this fabulous trend. Check out his GitHub repo below!
0:31

Excited to announce A website that turns any website into a get API with /extract endpoint. Data on the web has never been more accessible! Thanks to , for starting this fabulous trend. Check out his GitHub repo below!

Caleb Peffer (Hiring!)

235,078 просмотров • 1 год назад

Extract text from Messy data Join komunitas —>
0:33

Extract text from Messy data Join komunitas —>

Tips Excel

26,419 просмотров • 1 год назад

Extract data from pictures 🖼️ #excel #exceltips #corporate
0:30

Extract data from pictures 🖼️ #excel #exceltips #corporate

Miss Excel

24,846 просмотров • 6 месяцев назад

PhD Students – How to automatically extract data from papers for your literature review? Extracting relevant data from papers is challenging. However, this process can be automated. Meet AnswerThis – a tool that extracts data in seconds. Here is how it works. 1. Go to and log in. 2. After logging in, click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 3. Then click on 𝑈𝑝𝑙𝑜𝑎𝑑 𝑃𝐷𝐹 and upload your papers. 4. These are the papers from which you want to extract data. 5. After uploading papers, select data you want to extract. 6. The predefined options are - Key findings - Research gaps - Methodology - Limitations - Future work - Contributions - Practical implications 7. You can also extract custom data e.g., dataset used. 8. For example, I want to extract methodology used in these papers. 9. I selected 𝑀𝑒𝑡ℎ𝑜𝑑𝑜𝑙𝑜𝑔𝑦 and clicked on 𝐴𝑑𝑑 𝐶𝑜𝑙𝑢𝑚𝑛. 10. AnswerThis extract data about methodology used in the papers. 11. You can change data view from normal to Table View. 12. For this, scroll back to top and click on 𝑇𝑎𝑏𝑙𝑒 𝑉𝑖𝑒𝑤. 13. Now for instance, you want to extract more data from these papers. 14. Go back to the top and click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 15. Select the data type you want to extract. 16. For example, I want to extract data about future work. 17. So I click on 𝐹𝑢𝑡𝑢𝑟𝑒 𝑊𝑜𝑟𝑘 and then clicked on 𝐴𝑑𝑑 𝑐𝑜𝑙𝑢𝑚𝑛. 18. AnswerThis extracted data about future work from the papers. 19. After extracting the desired data, you can export it. 20. Select the data you want to extract. 21. Then click on 𝐸𝑥𝑝𝑜𝑟𝑡 𝑑𝑎𝑡𝑎. 22. Your data will be exported in CSV format. You can then analyze this data for your literature review. Try AnswerThis today: Anything you'd like to add?
0:48

PhD Students – How to automatically extract data from papers for your literature review? Extracting relevant data from papers is challenging. However, this process can be automated. Meet AnswerThis – a tool that extracts data in seconds. Here is how it works. 1. Go to and log in. 2. After logging in, click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 3. Then click on 𝑈𝑝𝑙𝑜𝑎𝑑 𝑃𝐷𝐹 and upload your papers. 4. These are the papers from which you want to extract data. 5. After uploading papers, select data you want to extract. 6. The predefined options are - Key findings - Research gaps - Methodology - Limitations - Future work - Contributions - Practical implications 7. You can also extract custom data e.g., dataset used. 8. For example, I want to extract methodology used in these papers. 9. I selected 𝑀𝑒𝑡ℎ𝑜𝑑𝑜𝑙𝑜𝑔𝑦 and clicked on 𝐴𝑑𝑑 𝐶𝑜𝑙𝑢𝑚𝑛. 10. AnswerThis extract data about methodology used in the papers. 11. You can change data view from normal to Table View. 12. For this, scroll back to top and click on 𝑇𝑎𝑏𝑙𝑒 𝑉𝑖𝑒𝑤. 13. Now for instance, you want to extract more data from these papers. 14. Go back to the top and click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 15. Select the data type you want to extract. 16. For example, I want to extract data about future work. 17. So I click on 𝐹𝑢𝑡𝑢𝑟𝑒 𝑊𝑜𝑟𝑘 and then clicked on 𝐴𝑑𝑑 𝑐𝑜𝑙𝑢𝑚𝑛. 18. AnswerThis extracted data about future work from the papers. 19. After extracting the desired data, you can export it. 20. Select the data you want to extract. 21. Then click on 𝐸𝑥𝑝𝑜𝑟𝑡 𝑑𝑎𝑡𝑎. 22. Your data will be exported in CSV format. You can then analyze this data for your literature review. Try AnswerThis today: Anything you'd like to add?

Faheem Ullah

21,390 просмотров • 8 месяцев назад

You can now give AI agents the ability to interact with ANY website. This new MCP server lets Claude, Cursor, or any AI agent navigate, click, fill forms, and extract data from sites without APIs. Just connect it and give it a URL + goal. Here’s how to set it up:
0:32

You can now give AI agents the ability to interact with ANY website. This new MCP server lets Claude, Cursor, or any AI agent navigate, click, fill forms, and extract data from sites without APIs. Just connect it and give it a URL + goal. Here’s how to set it up:

Alvaro Cintas

77,654 просмотров • 7 месяцев назад

Any Data. Any Chain(s). Any Period of Time. Introducing lzRead, a new data primitive.
1:44

Any Data. Any Chain(s). Any Period of Time. Introducing lzRead, a new data primitive.

LayerZero

524,177 просмотров • 1 год назад

Announcing /extract beta 🔥 Extract structured data from single URLs, multiple URLs, or even entire websites! This new endpoint crawls entire websites for you and then extracts data based on a prompt. Check it out:
0:27

Announcing /extract beta 🔥 Extract structured data from single URLs, multiple URLs, or even entire websites! This new endpoint crawls entire websites for you and then extracts data based on a prompt. Check it out:

Firecrawl

71,968 просмотров • 1 год назад

SEDA | The Modular Data Layer Transport, access, and configure any data type from any source. SEDAs New Standards For Web3 Data👇 - Rapid integration. - 100% Permissionless access. - Connected to 230+ blockchains. - Mitigates native Oracle deployments. - Completely customizable data feeds. - Built to service a chain-abstracted future. Any data from any network at any time.
0:41

SEDA | The Modular Data Layer Transport, access, and configure any data type from any source. SEDAs New Standards For Web3 Data👇 - Rapid integration. - 100% Permissionless access. - Connected to 230+ blockchains. - Mitigates native Oracle deployments. - Completely customizable data feeds. - Built to service a chain-abstracted future. Any data from any network at any time.

SEDA

13,781,361 просмотров • 2 лет назад

Can LLMs extract knowledge graphs from unstructured text? Introducing GraphGPT! Pass in any text (summary of a movie, passage from Wikipedia, etc.) to generate a visualization of entities and their relationships. A quick example:
0:54

Can LLMs extract knowledge graphs from unstructured text? Introducing GraphGPT! Pass in any text (summary of a movie, passage from Wikipedia, etc.) to generate a visualization of entities and their relationships. A quick example:

Varun Shenoy

578,676 просмотров • 3 лет назад

Oh wow…Firecrawl just dropped /agent, an API that autonomously navigates and discovers data from any website. You tell it what data you need, it figures out how to find it across complex sites. This is the future of web data.
0:50

Oh wow…Firecrawl just dropped /agent, an API that autonomously navigates and discovers data from any website. You tell it what data you need, it figures out how to find it across complex sites. This is the future of web data.

Alvaro Cintas

158,543 просмотров • 7 месяцев назад

Introducing Exa Agent: frontier web research at less than half the cost of GPT 5.5 and Opus. /agent orchestrates a mixture of cost-effective models to complete any web research task, from simple data enrichments to building gigantic lists.
0:30

Introducing Exa Agent: frontier web research at less than half the cost of GPT 5.5 and Opus. /agent orchestrates a mixture of cost-effective models to complete any web research task, from simple data enrichments to building gigantic lists.

Exa

1,031,069 просмотров • 1 месяц назад