Tripadvisor Hotel Scraper

ืžืืช
Extract hotel names, ratings, images, and reviews from Tripadvisor pages into a structured, downloadable table. Save time collecting hotel data for research or analysis.

ืจื•ืฆื” ืœื—ืœืฅ ื ืชื•ื ื™ื ื‘ื›ืžื•ืช ื’ื“ื•ืœื”? ื ืกื” ืืช Thunderbit ื‘ื—ื™ื ื.

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Extract Tripadvisor Hotel Data FastScrape hotel names, ratings, prices, and reviews from Tripadvisor in just a few clicks. Automate data collection for research or business needs.
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ื”ืชืงืŸ ืž-Chrome Web Store

Extract Tripadvisor Hotel Data Fast

Thunderbit lets you pull structured hotel data from Tripadvisor listings or detail pages with minimal setup. Just provide a URL, and the tool extracts hotel names, ratings, prices, and review counts into a clean tableโ€”no manual copy-paste required. You can further enrich your dataset by scraping subpages, summarizing or categorizing hotel information, and exporting results to Google Sheets, Airtable, or Notion. Thunderbit supports scraping from PDFs, images, and paginated lists, making it ideal for travel research, competitor analysis, or market monitoring.

How to Extract Hotel Data Using Thunderbit

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STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
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STEP 2Open ExtensionNavigate to the Tripadvisor hotel listing or hotel detail page you want to scrape. Open the Thunderbit Chrome Extension and select the "Tripadvisor Hotel Scraper" tool from the menu. Enter the Tripadvisor URL in the provided field.
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STEP 3Click the Extract Hotel Data ButtonClick the "Extract Hotel Data" button. Thunderbit will process the page and extract hotel names, URLs, prices, ratings, and number of reviews into a structured table. You can export the results to Excel, Google Sheets, Airtable, Notion, or download them as CSV or JSON.

Learn how to extract hotel data from Tripadvisor listings

Extract Structured Hotel Information

The Tripadvisor Hotel Scraper allows you to pull key details from any Tripadvisor hotel listing or detail page. By entering a URL, you can quickly gather hotel names, ratings, review counts, images, and direct links. This tool is ideal for travel agents, market researchers, and hospitality professionals who need organized data for analysis or comparison, eliminating the need for manual data collection from multiple pages.
ื”ืชื—ืœ ื‘ื—ื™ื ื
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Convert Unstructured Content into Downloadable Tables

Transform messy web content into a clean, structured table with just a few clicks. The scraper automatically organizes extracted data into columns such as hotel name, rating, and number of reviews. This streamlines your workflow, reduces errors, and ensures you have reliable information ready for reporting or further processing. Itโ€™s especially useful for anyone compiling hotel lists for business intelligence or travel planning.
ื”ืชื—ืœ ื‘ื—ื™ื ื
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Export Data to Your Preferred Platforms

Once the hotel data is extracted, you can export it directly to Excel, Google Sheets, Airtable, or Notion. The output is formatted for easy integration, so you can immediately use the data for presentations, client reports, or database updates. This feature is valuable for teams that need to share or analyze hotel information across different tools without extra formatting steps.
ื”ืชื—ืœ ื‘ื—ื™ื ื
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Support Travel Research and Competitive Analysis

Use the extracted hotel data to compare ratings, track review trends, or build comprehensive lists for destination research. Travel agencies, bloggers, and analysts can leverage this tool to monitor market changes, identify top-performing hotels, or create content based on up-to-date Tripadvisor information. The ability to gather and organize data efficiently supports better decision-making and content creation.
ื”ืชื—ืœ ื‘ื—ื™ื ื
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ื’ืœื” ืขื•ื“ ื›ืœื™ื ื—ื™ื ืžื™ื™ื

ื—ื™ืคื•ืฉ ื‘ืจืงื•ื“ / UPC

ื—ืคืฉื• ืคืจื˜ื™ ืžื•ืฆืจ ื‘ืืžืฆืขื•ืช ื”ื–ื ืช ื‘ืจืงื•ื“ ืื• ืงื•ื“ UPC. ืงื‘ืœื• ืฉื, ืžื•ืชื’, ื™ืฆืจืŸ ื•ืงื˜ื’ื•ืจื™ื” ื›ื“ื™ ืœืืžืช ืคืจื™ื˜ื™ื ื•ืœื”ืื™ืฅ ืืช ืžื—ืงืจ ื”ืžื•ืฆืจื™ื.

The Good Guys Scraper

Extract detailed product data from The Good Guys listings, including pricing, images, and reviews. Ideal for price monitoring and market research.

ืžื—ืฉื‘ื•ืŸ ืขืœื•ื™ื•ืช ืžืฉืœื•ื—

ื”ืขืจื™ื›ื• ื“ืžื™ ืžืฉืœื•ื— ืœืคื™ ืžืฉืงืœ ื”ื—ื‘ื™ืœื”, ื”ืžื™ื“ื•ืช ื•ืคืจื˜ื™ ื”ืžืกืœื•ืœ. ื”ืฉื•ื• ื‘ื™ืŸ ื—ื‘ืจื•ืช ืฉื™ืœื•ื— ื•ืจืžื•ืช ืฉื™ืจื•ืช ืขื ื”ืขืจื›ืช ื–ืžื ื™ ืžืกื™ืจื”. ื‘ื—ืจื• ืืช ื”ืืคืฉืจื•ืช ื”ืžืชืื™ืžื” ื‘ื™ื•ืชืจ ื›ื“ื™ ืœืฉืœื•ื˜ ื‘ืขืœื•ื™ื•ืช ื•ืœืชื›ื ืŸ ืืช ื”ืžืฉืœื•ื—.

ืžื™ื™ืฆื ื‘ื™ืงื•ืจื•ืช ืžืืžื–ื•ืŸ

ื—ืœืฆื• ื‘ื™ืงื•ืจื•ืช ืžืคื•ืจื˜ื•ืช ืขืœ ืžื•ืฆืจื™ื ื‘ืืžื–ื•ืŸ ื‘ืืžืฆืขื•ืช ื”ื“ื‘ืงืช ื›ืชื•ื‘ืช ื”-URL ืฉืœ ื”ืžื•ืฆืจ. ืืกืคื• ืžื™ื“ ืคืจื˜ื™ ืžื‘ืงืจื™ื, ื“ื™ืจื•ื’ื™ื ื•ืขื•ื“โ€”ื‘ื˜ื‘ืœื” ืžืกื•ื“ืจืช ืฉืžื•ื›ื ื” ืœื ื™ืชื•ื—.

ืžื—ืฉื‘ื•ืŸ ืžืจื•ื•ื— ืจื•ื•ื— ืื•ื ืœื™ื™ืŸ ื‘ื—ื™ื ื

ื—ืฉื‘ื• ืจื•ื•ื— ื•ืžืจื•ื•ื— ืจื•ื•ื— ืœืคื™ ืžื—ื™ืจ ืžื›ื™ืจื”, ืขืœื•ืช ื•ืขืœื•ื™ื•ืช ื ื•ืกืคื•ืช (ืื•ืคืฆื™ื•ื ืœื™). ืงื‘ืœื• ืื—ื•ื–ื™ื ื‘ืจื•ืจื™ื ื•ืจื•ื•ื— ื‘ื“ื•ืœืจื™ื ื›ื“ื™ ืœืชืžื•ืš ื‘ื”ื—ืœื˜ื•ืช ืชืžื—ื•ืจ ื•ืจื•ื•ื—ื™ื•ืช.

ืžื—ืœืฅ ืคืจื˜ื™ ืžื•ืฆืจ

ื—ืœืฆื• ืคืจื˜ื™ ืžื•ืฆืจื™ื ืžืืชืจื™ ืžืกื—ืจ ืืœืงื˜ืจื•ื ื™ ื›ืžื• Amazon, Walmart, Shein, Lazada ื•โ€‘Zalando. ืืกืคื• ืฉื, ืžื•ืชื’, ืžื—ื™ืจ, ืชืžื•ื ื•ืช, ื“ื™ืจื•ื’ื™ื ื•ื‘ื™ืงื•ืจื•ืช ื‘ืคื•ืจืžื˜ ืžื•ื‘ื ื” ืœื ื™ืชื•ื— ืžื”ื™ืจ ืื• ืœื™ื™ืฆื•ื.

ืžื—ืฉื‘ื•ืŸ ืจื•ื•ื—ื™ื•ืช ืœื“ืจื•ืคืฉื™ืคื™ื ื’

ื—ืฉื‘ื• ืจื•ื•ื— ื ืงื™ ื•ืฉื™ืขื•ืจ ืจื•ื•ื— ืœื›ืœ ืžื›ื™ืจืช ื“ืจื•ืคืฉื™ืคื™ื ื’ ืœืคื™ ืขืœื•ืช ืžื•ืฆืจ, ืžื—ื™ืจ ืžื›ื™ืจื”, ืžืฉืœื•ื—, ืžื™ืกื™ื ื•ืขืžืœื•ืช. ืชืžื—ื•ืจ ื—ื›ื ื™ื•ืชืจ ื•ืฉืžื™ืจื” ืขืœ ืžืจื•ื•ื—ื™ื ืขื ืกื™ื›ื•ืžื™ื ื‘ืจื•ืจื™ื.

ื›ืœื™ ืœื ื™ืชื•ื— ืžืชื—ืจื™ื

ื”ืฉื•ื• ืขื“ ื—ืžื™ืฉื” ืืชืจื™ ืžืชื—ืจื™ื ืœืคื™ ืชื ื•ืขื”, ืžืขื•ืจื‘ื•ืช, ืžืงื•ืจื•ืช ืงื”ืœ ื•ื ืชื•ื ื™ ืงื”ืœ ื™ืขื“. ื–ื”ื• ื ืงื•ื“ื•ืช ื—ื•ื–ืง, ืคืขืจื™ื ื•ื”ื–ื“ืžื ื•ื™ื•ืช ื‘ืืžืฆืขื•ืช ื”ืฉื•ื•ืื” ื–ื” ืœืฆื“ ื–ื”.

ืžื—ืฉื‘ื•ืŸ ืขืžืœื•ืช FBA ืื•ื ืœื™ื™ืŸ ื‘ื—ื™ื ื

ื”ืขืจื™ื›ื• ืืช ืขืœื•ื™ื•ืช Amazon FBA ืขืœ ื™ื“ื™ ื”ื–ื ืช ืžื—ื™ืจ, ืขืœื•ืช, ืžื™ื“ื•ืช, ืžืฉืงืœ ื•ืงื˜ื’ื•ืจื™ื”. ืงื‘ืœื• ืคื™ืจื•ื˜ ืฉืœ ืขืžืœืช ื”ืคื ื™ื”, ืขืžืœืช ืœื™ืงื•ื˜/ืฉื™ืœื•ื— (Fulfillment) ื•ืขืžืœื•ืช ืื—ืกื•ืŸ, ืœืฆื“ ืจื•ื•ื— ื•ืฉื™ืขื•ืจ ืจื•ื•ื—ื™ื•ืชโ€”ื›ื“ื™ ืœืชืžื—ืจ ืžื•ืฆืจื™ื ื‘ื‘ื™ื˜ื—ื•ืŸ.

ืžื—ืฉื‘ื•ืŸ ื”ื›ื ืกื•ืช ื—ื•ื“ืฉื™ ืžืืžื–ื•ืŸ ื‘ื—ื™ื ื

ื”ืขืจื™ื›ื• ื”ื›ื ืกื” ื—ื•ื“ืฉื™ืช ื‘ืจื•ื˜ื• ืœืคื™ ืžื—ื™ืจ ืžื•ืฆืจ ื•ื”ื™ืงืฃ ืžื›ื™ืจื•ืช ื—ื•ื“ืฉื™. ืงื‘ืœื• ืชืžื•ื ืช ืžืฆื‘ ืžื”ื™ืจื” ืœืื™ืžื•ืช ื‘ื™ืงื•ืฉ ื•ืœืชื›ื ื•ืŸ ืžืœืื™.

ืžื—ืฉื‘ื•ืŸ ืžืจื•ื•ื— ืชืžื—ื•ืจ ืœืขืกืงื™ื (Markup)

ื—ืฉื‘ื• ืžื—ื™ืจ ืžื›ื™ืจื” ืœืคื™ ืขืœื•ืช ืœื™ื—ื™ื“ื” ื•ืื—ื•ื– Markup. ืงื‘ืœื• ืžื—ื™ืจ ืžื›ื™ืจื” ื•ืจื•ื•ื— ื’ื•ืœืžื™ ืœื™ื—ื™ื“ื” ื›ื“ื™ ืœืชืžื—ืจ ืžื•ืฆืจื™ื ื‘ื‘ื™ื˜ื—ื•ืŸ.

ืžื—ืฉื‘ื•ืŸ ืจื•ื•ื—ื™ื•ืช ืœืืžื–ื•ืŸ

ื”ืขืจื™ื›ื• ืจื•ื•ื— ื ืงื™ ื•ืฉื™ืขื•ืจ ืจื•ื•ื—ื™ื•ืช ืœืžื•ืฆืจื™ื ื‘ืืžื–ื•ืŸ: ื”ื–ื™ื ื• ืžื—ื™ืจ ืžื›ื™ืจื”, ืขืœื•ืช ืžื•ืฆืจ (COGS), ืžืฉืœื•ื—, ืื—ื•ื– ืขืžืœืช ื”ืคื ื™ื”, ืขืžืœื•ืช FBA ื•ืขืœื•ื™ื•ืช ื ื•ืกืคื•ืช. ืงื‘ืœื• ืคื™ืจื•ื˜ ืขืœื•ื™ื•ืช ื‘ืจื•ืจ ื›ื“ื™ ืœื•ื•ื“ื ืฉื”ืžื•ืฆืจ ืžืฉืชืœื ืขื•ื“ ืœืคื ื™ ืฉืžืขืœื™ื ืื•ืชื• ืœืžื›ื™ืจื”.

Leboncoin Scraper

ื—ืœืฆื• ืžื•ื“ืขื•ืช ืžโ€‘leboncoin ืœื˜ื‘ืœื” ืžืกื•ื“ืจืช ืœืฆื•ืจืš ื ื™ืชื•ื—. ืืกืคื• ื›ื•ืชืจืช, ืžื—ื™ืจ, ืžื™ืงื•ื, ืชืืจื™ืš ื•ืคืจื˜ื™ ืคืจื™ื˜ ืžืจื›ื–ื™ื™ื ืžืชื•ืš ื›ืชื•ื‘ืช ื—ื™ืคื•ืฉ ืื• ืžื•ื“ืขื”.

ื’ืจื™ืคืช Booking.com

ื—ืœืฅ ื ืชื•ื ื™ ืœื™ื ื” ืž-Booking.com ืœื”ืฉื•ื•ืืช ืžืœื•ื ื•ืช ื•ืžื—ืงืจ ืžื”ื™ืจื™ื ื™ื•ืชืจ.

ืžื ืชื— ื“ื™ืจื•ื’ื™ื ื‘ืืžื–ื•ืŸ

ื ืชื—ื• ื‘ื™ืงื•ืจื•ืช ื‘ืืžื–ื•ืŸ ื›ื“ื™ ืœื”ื‘ื™ืŸ ืืช ื”ืชืคืœื’ื•ืช ื”ื“ื™ืจื•ื’ื™ื, ื”ื™ืชืจื•ื ื•ืช ื•ื”ื—ืกืจื•ื ื•ืช ื”ืžืจื›ื–ื™ื™ื, ื•ื ื•ืฉืื™ื ืฉื—ื•ื–ืจื™ื ืฉื•ื‘ ื•ืฉื•ื‘. ื—ืกื›ื• ื–ืžืŸ ืขืœ ื™ื“ื™ ื”ืคื™ื›ืช ืขืžื•ื“ื™ ื‘ื™ืงื•ืจื•ืช ืืจื•ื›ื™ื ืœืกื™ื›ื•ื ืžื•ื‘ื ื” ืฉืžืืคืฉืจ ืœืงื‘ืœ ื”ื—ืœื˜ื•ืช ืžื”ืจ ื™ื•ืชืจ.

ืžื ืชื— ื‘ื™ืงื•ืจื•ืช Amazon

ื ืชื—ื• ื‘ื™ืงื•ืจื•ืช ื‘-Amazon ื›ื“ื™ ืœื–ื”ื•ืช ืกื ื˜ื™ืžื ื˜, ื ื•ืฉืื™ื ืฉื—ื•ื–ืจื™ื ืขืœ ืขืฆืžื, ื•ื”ื™ืชืจื•ื ื•ืช ื•ื”ื—ืกืจื•ื ื•ืช ื”ื‘ื•ืœื˜ื™ื. ื”ืคื›ื• ื›ืžื•ื™ื•ืช ื’ื“ื•ืœื•ืช ืฉืœ ืžืฉื•ื‘ ืœืชื•ื‘ื ื•ืช ื‘ืจื•ืจื•ืช ืฉื™ืขื–ืจื• ืœืฉืคืจ ืžื•ืฆืจื™ื ื•ื“ืคื™ ืžื•ืฆืจ.

ืžืฆื ืขื•ื“ ื›ืœื™ื ืขื›ืฉื™ื•

ืžื” ืžืฉืชืžืฉื™ื ืื•ืžืจื™ื ืขืœ Thunderbit

Taryn W.Growth Strategist@Thunderbit ืฉื™ื ื” ืืช ื”ื“ืจืš ืฉื‘ื” ืื ื™ ืขื•ืฉื” ืžื—ืงืจ ืžืชื—ืจื™ื. ืื ื™ ืœื•ื—ืฅ ืขืœ 'AI Suggest Fields', ื•ื”ื•ื ื‘ื•ื ื” ื˜ื‘ืœื” ื ืงื™ื™ื” ืขืœ ืคื ื™ ืชื•ืฆืื•ืช ืžื—ื•ืœืงื•ืช ืœืขืžื•ื“ื™ื โ€” ื‘ืœื™ ืงื•ื“, ื‘ืœื™ CSS. ื—ื•ืกืš ื”ืžื•ืŸ ื–ืžืŸ ื‘ื ื™ืชื•ื— ื ืชื•ื ื™ ืžื•ืฆืจื™ื ืžืฉื•ื•ืงื™ื ืืจื•ื›ื™-ื–ื ื‘.
Miles T.Sales Development Consultantืื ื™ ืžืฉืชืžืฉ ื‘-Thunderbit ื›ื“ื™ ืœืฉืœื•ืฃ ืื™ืžื™ื™ืœื™ื ื•ืžืกืคืจื™ ื˜ืœืคื•ืŸ ืžืกืคืจื™ื•ืช. ื”ื•ื ืžื—ืœืฅ ืคืจื˜ื™ ืงืฉืจ ื ืงื™ื™ื ื‘ืœื—ื™ืฆื” ืื—ืช, ื•ื”ื™ื™ืฆื•ื ืœ-Sheets ืื• Notion ืœื•ืงื— ืฉื ื™ื•ืช. ื‘ืœื™ ื”ื’ื“ืจื” ื ื•ืกืคืช, ื‘ืœื™ ืงื•ื“ โ€” ืจืง ื ืชื•ื ื™ื ืฉื™ืžื•ืฉื™ื™ื ืฉืžื•ื›ื ื™ื ืœืขื‘ื•ื“ื”.
Rhea C.E-commerce AnalystThunderbit ืขื•ื–ืจ ืœื™ ืœื ื˜ืจ ื ืชื•ื ื™ SKU ืขืœ ืคื ื™ ื›ืžื” ืขืžื•ื“ื™ื. ืื ื™ ืžื—ืœืฅ ืืช ื”ืจื™ืฉื•ืžื™ื, ื•ืื– ืžืฉืชืžืฉ ื‘-Subpage Scraping ื›ื“ื™ ืœื”ื‘ื™ื ืžืคืจื˜ื™ ืžื•ืฆืจ ืžืœืื™ื, ืžื—ื™ืจื™ื, ื‘ื™ืงื•ืจื•ืช ื•ืžืœืื™. ื”-AI ืžืืจื’ืŸ ื”ื›ื•ืœ ืœืขืžื•ื“ื•ืช ืฉืื ื™ ืžื’ื“ื™ืจื”.
Cassian B.Real Estate Advisorื”-Scheduled Scraper ืฉืœ Thunderbit ื”ื•ืคืš ืžืขืงื‘ ื ื“ืœืดืŸ ืœืคืฉื•ื˜ ื™ื•ืชืจ. ืื ื™ ืžืชืืจ ืืช ื”ืžืจื•ื•ื— ื‘ืฉืคื” ืจื’ื™ืœื”, ื•ื”ื•ื ืฉื•ืœืฃ ืื•ื˜ื•ืžื˜ื™ืช ืจื™ืฉื•ืžื™ื ืžืขื•ื“ื›ื ื™ื, ืžื—ื™ืจื™ื ื•ืงื™ืฉื•ืจื™ื ื‘ืœื™ ืœื’ืขืช ืฉื•ื‘ ื‘ื”ื’ื“ืจื”. ืคืฉื•ื˜ ื•ืคืจืงื˜ื™ ืžืื•ื“.
Dorian B.Content & SEO Specialistืื ื™ ืžืฉืชืžืฉ ื‘-Field AI Prompts ืฉืœ Thunderbit ื›ื“ื™ ืœื ืงื•ืช ื•ืœืชื™ื™ื’ ืชื•ื›ืŸ ื‘ืœื•ื’ ืฉื—ื•ืœืฅ. ื”ื•ื ืžื•ืฆื ื›ื•ืชืจื•ืช, ืžื—ื‘ืจื™ื ื•ืืคื™ืœื• ืžืฆื™ืข ืงื˜ื’ื•ืจื™ื•ืช. ืขื•ื‘ื“ ืžืฆื•ื™ืŸ ื’ื ื‘ืืชืจื™ื ื“ื™ื ืžื™ื™ื ื•ื‘ื“ืคื™ ืžืฉื ื” โ€” ืžื•ืฉืœื ืœื‘ื ื™ื™ืช ืžืขืจื›ื™ ื ืชื•ื ื™ SEO ืžื•ื‘ึฐื ื™ื.
Lina K.Marketplace Operations Leadืื ื—ื ื• ืขื•ืงื‘ื™ื ืื—ืจื™ SKUs ืžื—ื ื•ื™ื•ืช ื ื™ืฉืชื™ื•ืช ื‘ืขื–ืจืช Thunderbit. Cloud Scraping ืžื˜ืคืœ ื‘-50 ื“ืคื™ื ื‘ื›ืœ ืคืขื, ื•ื‘ืืชืจื™ื ืฉื“ื•ืจืฉื™ื ื”ืชื—ื‘ืจื•ืช ืื ื—ื ื• ืขื•ื‘ืจื™ื ืœืžืฆื‘ ื“ืคื“ืคืŸ. ื–ื” ืžื”ื™ืจ, ื’ืžื™ืฉ, ื•ืœื ื“ื•ืจืฉ ืชื—ื–ื•ืงื” ืฉื•ื˜ืคืช ืื• ืขืจื™ื›ื•ืช ื™ื“ื ื™ื•ืช.
Jorge F.Inbound Sales ManagerAI Autofill ืฉืœ Thunderbit ื”ื•ื ืžืฆื™ืœ ื—ื™ื™ื. ืื—ืจื™ ื—ื™ืœื•ืฅ ืคืจื˜ื™ ืงืฉืจ, ืื ื™ ืžืฉืชืžืฉ ื‘ื• ื›ื“ื™ ืœืžืœื ื˜ืคืกื™ ืœื™ื“ื™ื ื™ืฉื™ืจื•ืช ื‘ื“ืคื“ืคืŸ. ืื ื™ ืจืง ื‘ื•ื—ืจ ืืช ื”ื˜ืื‘, ื•ื”ื•ื ืžืžืœื ื”ื›ื•ืœ ืœืคื™ ื”ืฉื•ืจื” ืฉื—ื•ืœืฆื”. ื‘ืœื™ ื”ื–ื ื” ื™ื“ื ื™ืช.
Alina D.Freelance Researcherืื ื™ ืžืกืชืžื›ืช ืขืœ Thunderbit ืœื—ื™ืœื•ืฅ ื ืชื•ื ื™ื ืž-PDF, ืืชืจื™ื ืžื‘ื•ืกืกื™ ืชืžื•ื ื•ืช ื•ื“ืคื™ื ืขื ื’ืœื™ืœื” ืื™ื ืกื•ืคื™ืช. ื”ื•ื ืžืชืžื•ื“ื“ ืขื ืคื•ืจืžื˜ื™ื ืžื‘ื•ืœื’ื ื™ื ื‘ืขื–ืจืช AI ื•ืžืกืคืง ื˜ื‘ืœืื•ืช ืžื•ื›ื ื•ืช ืœื™ื™ืฆื•ื ืฉืืคืฉืจ ืœืฉืœื•ื— ืœ-Google Sheets ืื• Airtable ืชื•ืš ืฉื ื™ื•ืช.
Taryn W.Growth Strategist@Thunderbit ืฉื™ื ื” ืืช ื”ื“ืจืš ืฉื‘ื” ืื ื™ ืขื•ืฉื” ืžื—ืงืจ ืžืชื—ืจื™ื. ืื ื™ ืœื•ื—ืฅ ืขืœ 'AI Suggest Fields', ื•ื”ื•ื ื‘ื•ื ื” ื˜ื‘ืœื” ื ืงื™ื™ื” ืขืœ ืคื ื™ ืชื•ืฆืื•ืช ืžื—ื•ืœืงื•ืช ืœืขืžื•ื“ื™ื โ€” ื‘ืœื™ ืงื•ื“, ื‘ืœื™ CSS. ื—ื•ืกืš ื”ืžื•ืŸ ื–ืžืŸ ื‘ื ื™ืชื•ื— ื ืชื•ื ื™ ืžื•ืฆืจื™ื ืžืฉื•ื•ืงื™ื ืืจื•ื›ื™-ื–ื ื‘.
Miles T.Sales Development Consultantืื ื™ ืžืฉืชืžืฉ ื‘-Thunderbit ื›ื“ื™ ืœืฉืœื•ืฃ ืื™ืžื™ื™ืœื™ื ื•ืžืกืคืจื™ ื˜ืœืคื•ืŸ ืžืกืคืจื™ื•ืช. ื”ื•ื ืžื—ืœืฅ ืคืจื˜ื™ ืงืฉืจ ื ืงื™ื™ื ื‘ืœื—ื™ืฆื” ืื—ืช, ื•ื”ื™ื™ืฆื•ื ืœ-Sheets ืื• Notion ืœื•ืงื— ืฉื ื™ื•ืช. ื‘ืœื™ ื”ื’ื“ืจื” ื ื•ืกืคืช, ื‘ืœื™ ืงื•ื“ โ€” ืจืง ื ืชื•ื ื™ื ืฉื™ืžื•ืฉื™ื™ื ืฉืžื•ื›ื ื™ื ืœืขื‘ื•ื“ื”.
Rhea C.E-commerce AnalystThunderbit ืขื•ื–ืจ ืœื™ ืœื ื˜ืจ ื ืชื•ื ื™ SKU ืขืœ ืคื ื™ ื›ืžื” ืขืžื•ื“ื™ื. ืื ื™ ืžื—ืœืฅ ืืช ื”ืจื™ืฉื•ืžื™ื, ื•ืื– ืžืฉืชืžืฉ ื‘-Subpage Scraping ื›ื“ื™ ืœื”ื‘ื™ื ืžืคืจื˜ื™ ืžื•ืฆืจ ืžืœืื™ื, ืžื—ื™ืจื™ื, ื‘ื™ืงื•ืจื•ืช ื•ืžืœืื™. ื”-AI ืžืืจื’ืŸ ื”ื›ื•ืœ ืœืขืžื•ื“ื•ืช ืฉืื ื™ ืžื’ื“ื™ืจื”.
Cassian B.Real Estate Advisorื”-Scheduled Scraper ืฉืœ Thunderbit ื”ื•ืคืš ืžืขืงื‘ ื ื“ืœืดืŸ ืœืคืฉื•ื˜ ื™ื•ืชืจ. ืื ื™ ืžืชืืจ ืืช ื”ืžืจื•ื•ื— ื‘ืฉืคื” ืจื’ื™ืœื”, ื•ื”ื•ื ืฉื•ืœืฃ ืื•ื˜ื•ืžื˜ื™ืช ืจื™ืฉื•ืžื™ื ืžืขื•ื“ื›ื ื™ื, ืžื—ื™ืจื™ื ื•ืงื™ืฉื•ืจื™ื ื‘ืœื™ ืœื’ืขืช ืฉื•ื‘ ื‘ื”ื’ื“ืจื”. ืคืฉื•ื˜ ื•ืคืจืงื˜ื™ ืžืื•ื“.
Dorian B.Content & SEO Specialistืื ื™ ืžืฉืชืžืฉ ื‘-Field AI Prompts ืฉืœ Thunderbit ื›ื“ื™ ืœื ืงื•ืช ื•ืœืชื™ื™ื’ ืชื•ื›ืŸ ื‘ืœื•ื’ ืฉื—ื•ืœืฅ. ื”ื•ื ืžื•ืฆื ื›ื•ืชืจื•ืช, ืžื—ื‘ืจื™ื ื•ืืคื™ืœื• ืžืฆื™ืข ืงื˜ื’ื•ืจื™ื•ืช. ืขื•ื‘ื“ ืžืฆื•ื™ืŸ ื’ื ื‘ืืชืจื™ื ื“ื™ื ืžื™ื™ื ื•ื‘ื“ืคื™ ืžืฉื ื” โ€” ืžื•ืฉืœื ืœื‘ื ื™ื™ืช ืžืขืจื›ื™ ื ืชื•ื ื™ SEO ืžื•ื‘ึฐื ื™ื.
Lina K.Marketplace Operations Leadืื ื—ื ื• ืขื•ืงื‘ื™ื ืื—ืจื™ SKUs ืžื—ื ื•ื™ื•ืช ื ื™ืฉืชื™ื•ืช ื‘ืขื–ืจืช Thunderbit. Cloud Scraping ืžื˜ืคืœ ื‘-50 ื“ืคื™ื ื‘ื›ืœ ืคืขื, ื•ื‘ืืชืจื™ื ืฉื“ื•ืจืฉื™ื ื”ืชื—ื‘ืจื•ืช ืื ื—ื ื• ืขื•ื‘ืจื™ื ืœืžืฆื‘ ื“ืคื“ืคืŸ. ื–ื” ืžื”ื™ืจ, ื’ืžื™ืฉ, ื•ืœื ื“ื•ืจืฉ ืชื—ื–ื•ืงื” ืฉื•ื˜ืคืช ืื• ืขืจื™ื›ื•ืช ื™ื“ื ื™ื•ืช.
Jorge F.Inbound Sales ManagerAI Autofill ืฉืœ Thunderbit ื”ื•ื ืžืฆื™ืœ ื—ื™ื™ื. ืื—ืจื™ ื—ื™ืœื•ืฅ ืคืจื˜ื™ ืงืฉืจ, ืื ื™ ืžืฉืชืžืฉ ื‘ื• ื›ื“ื™ ืœืžืœื ื˜ืคืกื™ ืœื™ื“ื™ื ื™ืฉื™ืจื•ืช ื‘ื“ืคื“ืคืŸ. ืื ื™ ืจืง ื‘ื•ื—ืจ ืืช ื”ื˜ืื‘, ื•ื”ื•ื ืžืžืœื ื”ื›ื•ืœ ืœืคื™ ื”ืฉื•ืจื” ืฉื—ื•ืœืฆื”. ื‘ืœื™ ื”ื–ื ื” ื™ื“ื ื™ืช.
Alina D.Freelance Researcherืื ื™ ืžืกืชืžื›ืช ืขืœ Thunderbit ืœื—ื™ืœื•ืฅ ื ืชื•ื ื™ื ืž-PDF, ืืชืจื™ื ืžื‘ื•ืกืกื™ ืชืžื•ื ื•ืช ื•ื“ืคื™ื ืขื ื’ืœื™ืœื” ืื™ื ืกื•ืคื™ืช. ื”ื•ื ืžืชืžื•ื“ื“ ืขื ืคื•ืจืžื˜ื™ื ืžื‘ื•ืœื’ื ื™ื ื‘ืขื–ืจืช AI ื•ืžืกืคืง ื˜ื‘ืœืื•ืช ืžื•ื›ื ื•ืช ืœื™ื™ืฆื•ื ืฉืืคืฉืจ ืœืฉืœื•ื— ืœ-Google Sheets ืื• Airtable ืชื•ืš ืฉื ื™ื•ืช.

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