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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:

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Firecrawl

23,853 subscribers

71,968 次观看 • 1 年前 •via X (Twitter)

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Firecrawl 的头像
Firecrawl1 年前

Join the waitlist today (full release coming soon):

SecurityPal 的头像
SecurityPal2 年前

Questionnaire Concierge is now available as an API! With the new API, you can: 📝 Create new questionnaire request directly 🔍 Instantly search questionnaire details ⚒️ Build custom form and dashboard 🔗: #SecurityPal #SecurityQuestionnaires #API

Peter Liddle 的头像
Peter Liddle1 年前

I started writing a Firecrawl SDK for Swift, just does basic scraping at the moment. You interested in my open sourcing it?

Nicolas Camara 的头像
Nicolas Camara1 年前

🔥🔥🔥

AGI Guide 的头像
AGI Guide1 年前

It is so goood!!!🔥

steve ike 的头像
steve ike1 年前

Are there any limitations on number of pages or amount of data it extracts? I’m assuming it’s all usage/volume based pricing. Incredibly valuable feature but how do you mitigate against it crawling a zillion more pages than expected?

hotshot - e/acc 的头像
hotshot - e/acc1 年前

exactly what I asked for, can’t wait to test it out

Firecrawl 的头像
Firecrawl1 年前

Lets go! 🔥

Guillaume Meyer (The Opinionated Man) 的头像
Guillaume Meyer (The Opinionated Man)1 年前

So cool!

ANwTGrsNeqRyKIg : priv/acc 的头像
ANwTGrsNeqRyKIg : priv/acc1 年前

amazingly powerful, great feature!

Maxim 的头像
Maxim1 年前

Twitter… yes or no.. if not next

相关视频

The era of writing web scrapers is over. Write a prompt, get web data. That's it with our /extract endpoint. Now in open beta with 500K free tokens 🔥
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The era of writing web scrapers is over. Write a prompt, get web data. That's it with our /extract endpoint. Now in open beta with 500K free tokens 🔥

Firecrawl

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Introducing Swarm Web Extractor 🤖 Based on an objective, it autonomously searches the web, maps entire websites, and extracts data. Built with OpenAI’s new multi-agent framework Swarm, SerpApi, and . Check it out:
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Introducing Swarm Web Extractor 🤖 Based on an objective, it autonomously searches the web, maps entire websites, and extracts data. Built with OpenAI’s new multi-agent framework Swarm, SerpApi, and . Check it out:

Eric Ciarla (hiring)

91,788 次观看 • 1 年前

data extraction is now live on browse dot new Induced - prompt and describe what you want to extract - get structured data as JSON / CSV works on most websites out of the box. detailed prompts recommended. also available as an API.
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data extraction is now live on browse dot new Induced - prompt and describe what you want to extract - get structured data as JSON / CSV works on most websites out of the box. detailed prompts recommended. also available as an API.

Aryan Sharma

35,435 次观看 • 2 年前

OpenAI's Swarm Web Extractor This can autonomously search the web, map entire websites, and extract data. This is built on top of OpenAI’s new multi-agent framework Swarm, Serp AI and Firecrawl API. - Swarm is a lightweight and experimental framework introduced by OpenAI to develop multi-agent systems. - Serp API A is a real-time API that allows users to access Google search results. - Firecrawl API turns entire websites into clean, LLM-ready markdown or structured data. Scrape, crawl and extract the web with a single API. Video credits: Eric Ciarla #webextraction #llms #nlproc #swarm #multiagents
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OpenAI's Swarm Web Extractor This can autonomously search the web, map entire websites, and extract data. This is built on top of OpenAI’s new multi-agent framework Swarm, Serp AI and Firecrawl API. - Swarm is a lightweight and experimental framework introduced by OpenAI to develop multi-agent systems. - Serp API A is a real-time API that allows users to access Google search results. - Firecrawl API turns entire websites into clean, LLM-ready markdown or structured data. Scrape, crawl and extract the web with a single API. Video credits: Eric Ciarla #webextraction #llms #nlproc #swarm #multiagents

Kalyan KS

174,419 次观看 • 1 年前

Created a private bookmarklet packed with features to extract hidden paths, URLs and endpoints. It fetches data from HTML elements, inline scripts, quoted strings, performance logs and even external JavaScript files for deep reconnaissance.
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Created a private bookmarklet packed with features to extract hidden paths, URLs and endpoints. It fetches data from HTML elements, inline scripts, quoted strings, performance logs and even external JavaScript files for deep reconnaissance.

Coffin

21,772 次观看 • 1 年前

Introducing Spark 1 Pro and Spark 1 Mini 🔥 Two new models powering /agent, our state of the art agent that searches, navigates, and extracts web data from a prompt. Mini is 60% cheaper and Pro delivers higher accuracy, making this our most powerful extraction endpoint yet.
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Introducing Spark 1 Pro and Spark 1 Mini 🔥 Two new models powering /agent, our state of the art agent that searches, navigates, and extracts web data from a prompt. Mini is 60% cheaper and Pro delivers higher accuracy, making this our most powerful extraction endpoint yet.

Firecrawl

30,284 次观看 • 6 个月前

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?
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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?

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Introducing /agent by Firecrawl 🪄 Just describe what you need - with or without a URL then /agent searches, navigates, and gathers information from the widest range of websites, reaching data no other API can. Try out the research preview today.

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Just tested the new Firecrawl v2, and wow, it’s a MONSTER upgrade! 🔥 → 10x faster scraping → Semantic crawling (prompt-based!) → Search across images & news → Auto-extract structured data from sites → n8n, CrewAI, OpenAI SDK integration and much more! Quick dive! 🧵↓
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Just tested the new Firecrawl v2, and wow, it’s a MONSTER upgrade! 🔥 → 10x faster scraping → Semantic crawling (prompt-based!) → Search across images & news → Auto-extract structured data from sites → n8n, CrewAI, OpenAI SDK integration and much more! Quick dive! 🧵↓

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Introducing web-scale /monitor. An always-on search that watches the web & pings you or your agent the moment something comes online. Before /monitor only worked for single pages or websites, but now you can use that power on the entire web. Available today.

Firecrawl

56,354 次观看 • 17 天前

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!
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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 次观看 • 1 年前

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 次观看 • 5 个月前

69 Websites that'll pay you $90/hr for data entry jobs: No experience required. I have prepared a list of 69 Websites that'll pay you $90/hr for data entry jobs With Just a Smartphone or Laptop and Internet. For absolutely FREE: To get it: 1. Follow Me 2. Like and Retweet 3. Reply with "DATA"
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69 Websites that'll pay you $90/hr for data entry jobs: No experience required. I have prepared a list of 69 Websites that'll pay you $90/hr for data entry jobs With Just a Smartphone or Laptop and Internet. For absolutely FREE: To get it: 1. Follow Me 2. Like and Retweet 3. Reply with "DATA"

George Amit | AI tools and Content Creator

153,875 次观看 • 2 年前

PhD Students – How to extract data from papers for your literature review in seconds? Extracting data from papers takes a lot of time. You can automate this process with Bohrium 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐞𝐱𝐭𝐫𝐚𝐜𝐭 𝐝𝐚𝐭𝐚 𝐟𝐫𝐨𝐦 𝐩𝐚𝐩𝐞𝐫𝐬? 1. Go to and log in 2. Click on 𝐾𝑛𝑜𝑤𝑙𝑒𝑑𝑔𝑒 𝐵𝑎𝑠𝑒 from the left menu 3. Upload the papers you selected for literature review 4. You will see the following option against each paper - Read PDF - Key Takeaway - AI Poster 5. Click on 𝑅𝑒𝑎𝑑 𝑃𝐷𝐹 for the first paper in your list 6. Write a prompt for the data you want to extract 7. For example, you can enter datasets, methodology etc. 8. It will extract the required data from the paper 9. If you want to extract Key Takeaways from the paper 10. Go back and click on 𝐾𝑒𝑦 𝑇𝑎𝑘𝑒𝑎𝑤𝑎𝑦𝑠 11. Bohrium will extract Key Takeaways from the paper 12. In addition to this, you also have 2 more options - AI Poster - Podcast 13. Click on 𝐴𝐼 𝑃𝑜𝑠𝑡𝑒𝑟 and it will create a poster for you 14. This is the poster based on the given research paper 15. If you click on 𝑃𝑜𝑑𝑐𝑎𝑠𝑡, it will convert the paper to audio 16. You can listen to the paper instead of reading it Repeat this cycle for all the papers in your pool. You will end up with the required data. You can use this data to write your literature review Try Bohrium today for FREE: Anything you’d like to add?
0:59

PhD Students – How to extract data from papers for your literature review in seconds? Extracting data from papers takes a lot of time. You can automate this process with Bohrium 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐞𝐱𝐭𝐫𝐚𝐜𝐭 𝐝𝐚𝐭𝐚 𝐟𝐫𝐨𝐦 𝐩𝐚𝐩𝐞𝐫𝐬? 1. Go to and log in 2. Click on 𝐾𝑛𝑜𝑤𝑙𝑒𝑑𝑔𝑒 𝐵𝑎𝑠𝑒 from the left menu 3. Upload the papers you selected for literature review 4. You will see the following option against each paper - Read PDF - Key Takeaway - AI Poster 5. Click on 𝑅𝑒𝑎𝑑 𝑃𝐷𝐹 for the first paper in your list 6. Write a prompt for the data you want to extract 7. For example, you can enter datasets, methodology etc. 8. It will extract the required data from the paper 9. If you want to extract Key Takeaways from the paper 10. Go back and click on 𝐾𝑒𝑦 𝑇𝑎𝑘𝑒𝑎𝑤𝑎𝑦𝑠 11. Bohrium will extract Key Takeaways from the paper 12. In addition to this, you also have 2 more options - AI Poster - Podcast 13. Click on 𝐴𝐼 𝑃𝑜𝑠𝑡𝑒𝑟 and it will create a poster for you 14. This is the poster based on the given research paper 15. If you click on 𝑃𝑜𝑑𝑐𝑎𝑠𝑡, it will convert the paper to audio 16. You can listen to the paper instead of reading it Repeat this cycle for all the papers in your pool. You will end up with the required data. You can use this data to write your literature review Try Bohrium today for FREE: Anything you’d like to add?

Faheem Ullah

13,413 次观看 • 10 个月前