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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
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Total Authors : 22487
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| Paper Title: | Universal Web Scraper: Leveraging FireCrawl and LLMs for Dynamic Website Content Understanding and Query Resolution |
| Authors Name: | SYED AHAMED S , Dr. A. Manju , Muthukumaran P , MOHAMMED SUHAIL A |
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| Author Reg. ID: |
IJRTI_203169
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| Published Paper Id: | IJRTI2505070 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | This Research explains how to integrate Firecrawl and Llama3 to increase the effectiveness and efficiency in data acquisition and answering questions regarding dynamic web content. The main goals are to increase the effectiveness and precision of web scraping and processing by utilizing Firecrawl and its web scraping capabilities, as well as Llama3 and its complex language model. In particular, FireCrawl, using extended patterns, is able to gather valuable text data from websites and store this in Markdown, which is further processed by Llama3 for correct question-answering. An extensive evaluation is presented to prove the effectiveness of the approach, which has achieved a significant improvement in response accuracy and relevance. This integration allows the obtaining of real-time updates of the underlying data and contextually correct answers to user queries while coping with typical problems of dynamic and heterogeneous web content. This Research proves how to combine specialty tools in all aspects in both automating data extraction and further enhancing data quality in an automated manner. It offers valuable input into applications that require current and accurate information. The results show how the system can be adaptable and scalable to yield a robust solution for dynamic web environments, contributing to advances in automated data processing and analysis. |
| Keywords: | Firecrawl, Llama3, web scraping, dynamic content, data processing, question-answering, automation. |
| Cite Article: | "Universal Web Scraper: Leveraging FireCrawl and LLMs for Dynamic Website Content Understanding and Query Resolution", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a596-a600, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505070.pdf |
| Downloads: | 000456 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2505070
Registration ID:203169
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: a596-a600 Country: Chennai, Tamil Nadu, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505070 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505070 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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