RedNote Detail Scraper (小红书) | Notes, Images and Videos by Link or Keyword (2026)

From SilentFlow. Creators of Pinterest Scraper and Leboncoin Scraper, with 420,000+ combined lifetime runs.

Turn RedNote (小红书, Xiaohongshu) notes into clean rows you can sort, chart and share: the full text, exact likes, saves, comments and shares, hashtags, every image in its original size, the video file, the place tag, the author and the first comments. Paste note links, type a keyword, or both, and press Start. The prefilled form reads 11 notes in full from their links and searches 咖啡 (coffee) for 20 more: on our test runs the 11 links came back as 11 complete notes in 7 seconds, the keyword returned its 20 notes, and a list of 25 note links came back as 25 complete notes in 13 seconds. No RedNote account, no Chinese phone number, nothing to configure.

Why choose this actor?

Copying likes and saves from the RedNote app into a spreadsheet, one note at a time? Waiting for a colleague in China to send you the links before you can measure anything? Stuck on a form that will not start until you paste a link you do not have yet?

• Find notes even when you have no links. Type a keyword and get the notes RedNote's search shows for it, each as a row with its ID, link, title, opening lines, likes, saves, comments, shares, hashtags, images, author and dates. On our test run, the keywords 露营 (camping) and coffee returned 60 notes, 30 each, with no duplicate. Link-only tools need you to collect every link by hand first.
• Links and keywords in the same run, never counted twice. Paste the share links your agency sent and add the keywords you are tracking in one input. A note found both ways is saved once. On our test runs, a share link plus the keyword 护肤 (skincare) returned 11 notes, and two links plus 咖啡 returned 22, every row with a stable id and url and no note twice.
• Nothing to fill in before the first run. No required field: the form opens prefilled and runs as it is, a keyword alone starts a run, and a list of links alone starts a run. Our list of 25 note links, with no other setting, came back as 25 full notes in 13 seconds, with 128 original images, 5 video files and the first comments of every note.

Try your first note

Paste this input in the JSON tab, or keep the prefilled form and press Start. It reads 11 notes in full from their links (a camera review shared from the app, a cocktail recipe, an Osaka noodle shop, a bakery opening in Qingdao and other food notes, three of them videos) and searches RedNote for 咖啡 (coffee), saving the first 20 notes it shows.

{
    "noteUrls": [
        "https://xhslink.com/o/5oTNHv9d7Mw",
        "https://www.xiaohongshu.com/explore/64103fc0000000001203fc58?xsec_token=ABiKahsJveydyvyBLdalMttmQTGgGUAErs4_WU0a6AMd4=&xsec_source=pc_feed",
        "https://www.xiaohongshu.com/explore/64a0deac000000001300e8e3?xsec_token=AB7F7OTfM7z8Wy4FYWzkdUpmeBqtq7wAs7eKjLY2EHzyg=&xsec_source=pc_feed",
        "https://www.xiaohongshu.com/explore/64a76143000000001e013522?xsec_token=ABiZBO7VhFKBtbIJuwS1YLbZ-rdIwyS6laUKxwY1CuEvA=&xsec_source=pc_feed",
        "https://www.xiaohongshu.com/explore/64a8e1d3000000002b03c038?xsec_token=AB8_h7dEM0cSPGLiVTqaQ16NB-M1GGOA8M_rjDO5Buo8A=&xsec_source=pc_feed",
        "https://www.xiaohongshu.com/explore/64a14e7c000000001300eafc?xsec_token=ABAPu45bW13_SwHPWPuws4uC3mEuxrH2OHd2yWx7ylbcQ=&xsec_source=pc_feed",
        "https://www.xiaohongshu.com/explore/64a5526f0000000016027c31?xsec_token=ABAGtrrS0w5pLKIte2XwU4DAt4KwrEdYScQx6mqB3v59o=&xsec_source=pc_feed",
        "https://www.xiaohongshu.com/explore/64a4ff18000000002b038e8c?xsec_token=AB-cltee2fqQDTX7_NEj1kolrsporjEzE0vcbmR83q9KM=&xsec_source=pc_feed",
        "https://www.xiaohongshu.com/explore/64aa3d0f000000001c01991c?xsec_token=AB6IVlhKW3peH0kdrjKXPwlw5-bxtft9aUZlRFHeLk3Fk=&xsec_source=pc_feed",
        "https://www.xiaohongshu.com/explore/64a7e6170000000023036717?xsec_token=ABiZBO7VhFKBtbIJuwS1YLbYJrxR7ErNmFxmHh1JyDbMI=&xsec_source=pc_feed",
        "https://www.xiaohongshu.com/explore/64a77e06000000002301e833?xsec_token=ABiZBO7VhFKBtbIJuwS1YLbaDSgH0bBpLHj3WBIcA6q8c=&xsec_source=pc_feed"
    ],
    "keywords": [
        "咖啡"
    ],
    "maxItems": 20
}

Runs on the Apify Free plan: sign up, open the actor, press Start. Each note lands as one row of the dataset, which you can open as a table, download as CSV, Excel or JSON, or read from the API. Swap 咖啡 for your own topic (露营 for camping, 护肤 for skincare, 穿搭 for outfits, 旅行 for travel, or an English word such as coffee), and replace the links with the notes you care about.

Copy to your AI assistant

Paste this block into Claude, ChatGPT or Cursor to give it the full picture of this scraper before you ask it to write code or plan a dataset:

You have access to the RedNote Detail Scraper on Apify: silentflow/rednote-detail-scraper
It reads RedNote (小红书, Xiaohongshu, xiaohongshu.com), China's lifestyle and product-review social app.
One row = one note. No account. No field is required; give at least one link or keyword.

Input:
- noteUrls (array of strings): notes to read in full. Accepted:
    share links: https://xhslink.com/o/5oTNHv9d7Mw, http://xhslink.cn/o/... (or the whole copied share message)
    browser links: https://www.xiaohongshu.com/explore/<noteId>?xsec_token=...
                   https://www.xiaohongshu.com/discovery/item/<noteId>?xsec_token=...
                   https://www.xiaohongshu.com/user/profile/<userId>/<noteId>?xsec_token=...
  A bare 24-character note ID, or a link without xsec_token, does not open a note and is skipped with a message.
- keywords (array of strings): search terms, Chinese or English: "咖啡", "露营", "coffee".
  Chinese keywords return the most notes. One search page = 20 notes.
- maxItems (integer, default 20, 1 to 1000): notes saved per keyword. Note links are always all read.

Output per note (28 fields, null when RedNote gives no value):
- id (string, stable 24-character note ID), url (note link; carries xsec_token when known)
- title (string|null), type ("image" or "video")
- description (string|null): full text for links; the opening lines for keyword results
- hashtags (string[]), mentions (string[]: tagged users), location (string|null: place tag)
- authorId, authorName, authorAvatar, authorUrl (strings)
- likesCount, collectsCount (saves), commentsCount, sharesCount (integers)
- publishedAt, updatedAt (RFC 3339 UTC strings)
- coverUrl (string), images (string[] of original-size image links), imagesCount (integer)
- videoUrl (string|null: original video file), videoDuration (integer seconds|null); links only
- topComments (array, links only, up to 5): {id, text, likesCount, repliesCount, authorId, authorName, ipLocation, publishedAt}
- xsecToken (string|null), searchKeyword (string|null), dataSource ("note_page" or "search"), scrapedAt (RFC 3339)

Call: ApifyClient("TOKEN").actor("silentflow/rednote-detail-scraper").call(run_input={...}),
then client.dataset(run["defaultDatasetId"]).list_items().items

How to scrape RedNote notes

Read one note from a share link

The simplest run: one link copied from the app's Share button. The whole share message works too, the link inside it is found for you.

{
    "noteUrls": ["https://xhslink.com/o/5oTNHv9d7Mw"]
}

Track a list of campaign notes your creators posted

Paste every note link of a campaign, from the app or the browser, and get one row per note with its likes, saves, comments, shares and publish date. Run it again next week and compare.

{
    "noteUrls": [
        "https://xhslink.com/o/5oTNHv9d7Mw",
        "https://www.xiaohongshu.com/explore/64103fc0000000001203fc58?xsec_token=ABiKahsJveydyvyBLdalMttmQTGgGUAErs4_WU0a6AMd4=&xsec_source=pc_feed",
        "https://www.xiaohongshu.com/explore/64a0deac000000001300e8e3?xsec_token=AB7F7OTfM7z8Wy4FYWzkdUpmeBqtq7wAs7eKjLY2EHzyg=&xsec_source=pc_feed"
    ]
}

Find what RedNote says about a topic, in two languages

Search several keywords at once and keep the first 30 notes of each. This is the input that returned 60 notes on our test run, 30 per keyword.

{
    "keywords": ["露营", "coffee"],
    "maxItems": 30
}

Input parameters

Parameter	Type	Default	Description
noteUrls	array of strings	none	Notes to read in full: share links, browser links, or whole copied share messages. Every link in the list is read.
keywords	array of strings	none	Search terms. Each keyword returns the notes RedNote's search shows for it, up to maxItems.
maxItems	integer	20	Notes saved per keyword, from 1 to 1000. One search page holds 20 notes. Has no effect on note links.

No field is required: give at least one link or one keyword. Links and keywords can be mixed in the same run, and a note found both ways is saved once.

Link formats that work

Format	Example	Works
Share link from the app	https://xhslink.com/o/5oTNHv9d7Mw	Yes
Share link, .cn domain	http://xhslink.cn/o/7AxkDPYQOTQ	Yes
Whole copied share message	看看这篇笔记 http://xhslink.com/o/... 复制本条信息	Yes
Browser link with its token	https://www.xiaohongshu.com/explore/<id>?xsec_token=...	Yes
Discovery link with its token	https://www.xiaohongshu.com/discovery/item/<id>?xsec_token=...	Yes
Note opened from a creator page	https://www.xiaohongshu.com/user/profile/<userId>/<id>?xsec_token=...	Yes
Link without xsec_token	https://www.xiaohongshu.com/explore/<id>	No, skipped with a message
Bare note ID	64103fc0000000001203fc58	No, skipped with a message
Creator profile	https://www.xiaohongshu.com/user/profile/<userId>	No, it is a person, not a note

RedNote only opens a note page for the link that carries its xsec_token, the code the app and the website add when you share or open a note. Copy links from the app's Share button or from the browser's address bar and they always carry it.

What data can you extract from RedNote?

Every row is one note, with 28 fields in a fixed order, grouped the way you read them. A value RedNote does not give is null, never an empty string, so filters and charts stay clean.

Identity: id (the note's stable 24-character ID), url, title, type (image or video).

Content: description (the note's text, with hashtags kept as #name), hashtags (each topic tag), mentions (users tagged in the note), location (the place tag, such as a city, a mall or a restaurant).

Author: authorId, authorName, authorAvatar, authorUrl (the creator's RedNote page).

Engagement: likesCount, collectsCount (saves, RedNote's bookmark count), commentsCount, sharesCount.

Time: publishedAt and updatedAt, in RFC 3339 UTC, ready for any date filter.

Media: coverUrl, images (every image of the note in its original size), imagesCount, videoUrl (the original video file) and videoDuration in seconds.

Comments: topComments, the first comments RedNote shows under the note (up to 5), each with its id, text, likesCount, repliesCount, authorId, authorName, ipLocation (the province or country RedNote shows next to the comment) and publishedAt.

Run details: xsecToken (the code that opens the note link), searchKeyword (the keyword that found the note), dataSource (note_page for links, search for keywords) and scrapedAt.

What a link gives and what a keyword gives

Field	From a note link	From a keyword
ID, link, title, type	Yes	Yes
Text	Full text	Opening lines (about 60 characters)
Hashtags, author, dates	Yes	Yes
Likes, saves, comments, shares	As the note page shows them	As search shows them, counts above 10,000 rounded (1.7万 = 17,000)
Original images	Yes	Yes
Video file and duration	Yes	No
Place tag, tagged users	Yes	No
First comments	Yes, up to 5	No

Use keywords to discover notes, then paste the links of the notes that matter to read them in full. On our 25-link test run, all 5 video notes came back with their video file and duration (50 to 304 seconds), 9 notes had a place tag, and 23 of 25 notes carried 5 first comments.

Output example

One full row, from the prefilled run of 16 October 2026:

{
  "id": "64103fc0000000001203fc58",
  "url": "https://www.xiaohongshu.com/explore/64103fc0000000001203fc58?xsec_token=ABiKahsJveydyvyBLdalMttmQTGgGUAErs4_WU0a6AMd4=",
  "title": "调了一杯桃红小酒💗这个颜色我就欲罢不能了",
  "type": "image",
  "description": "今天用的基酒是金酒，如果不喜欢基酒的杜松子味，也可以换成伏特加或者白朗姆，都是可以的，主要莓莓桃桃好好喝，再加上柠檬水溶c，整体酸酸甜甜味道棒极了！今天只用了30ml的酒，整体度数很低很低的，可以放心喝，如果想更快的微醺可以多加点基酒～\n-\n配方：莓莓桃桃加到杯子五分之三+30ml金酒+水溶c加满\n-\n#适合女生喝的酒 #今夜来一杯微醺酒 #居家调酒 #调酒 #金酒 #今天你喝酒了吗 #喝酒日常",
  "hashtags": ["适合女生喝的酒", "今夜来一杯微醺酒", "居家调酒", "调酒", "金酒", "今天你喝酒了吗", "喝酒日常"],
  "mentions": [],
  "location": null,
  "authorId": "636cafe50000000023025d01",
  "authorName": "小九的微醺世界",
  "authorAvatar": "https://sns-avatar-qc.xhscdn.com/avatar/6389bffbec3902009309eb61.jpg?imageView2/2/w/120/format/jpg",
  "authorUrl": "https://www.xiaohongshu.com/user/profile/636cafe50000000023025d01",
  "likesCount": 346,
  "collectsCount": 257,
  "commentsCount": 1,
  "sharesCount": 28,
  "publishedAt": "2023-03-14T09:34:56Z",
  "updatedAt": "2023-03-14T09:34:56Z",
  "coverUrl": "https://ci.xiaohongshu.com/1000g00826e81p3ifm0005orclviosn8118lfd9g",
  "images": [
    "https://ci.xiaohongshu.com/1000g00826e81p3ifm0005orclviosn8118lfd9g",
    "https://ci.xiaohongshu.com/1000g00826e81p3ifm00g5orclviosn81ei94v8g",
    "https://ci.xiaohongshu.com/1000g00826e81p3ifm0105orclviosn81n3bv9q8",
    "https://ci.xiaohongshu.com/1000g00826e81p3ifm01g5orclviosn811njchb8",
    "https://ci.xiaohongshu.com/1000g00826e81p3ifm0205orclviosn81kto1b2o"
  ],
  "imagesCount": 5,
  "videoUrl": null,
  "videoDuration": null,
  "topComments": [
    {
      "id": "64172f0b000000001903754f",
      "text": "金酒YYDS",
      "likesCount": 0,
      "repliesCount": 0,
      "authorId": "5a5818bf11be10117ea91165",
      "authorName": "卡卡卡卡卡洛琳",
      "ipLocation": "北京",
      "publishedAt": "2023-03-19T15:49:31Z"
    }
  ],
  "xsecToken": "ABiKahsJveydyvyBLdalMttmQTGgGUAErs4_WU0a6AMd4=",
  "searchKeyword": null,
  "dataSource": "note_page",
  "scrapedAt": "2026-10-16T09:33:51Z"
}

The dataset has two ready-made views: Notes (title, author, type, likes, saves, comments, publish date, link) for a quick scan, and Text and media (title, text, hashtags, place, cover, image count, video link) for content review.

Advanced usage

Benchmark a creator's sponsored notes against organic ones

Paste the share links of the sponsored notes and of a few organic notes from the same creator. Sort the dataset by collectsCount: on RedNote, saves are the strongest sign that readers plan to buy or try what they saw.

{
    "noteUrls": [
        "https://xhslink.com/o/5oTNHv9d7Mw",
        "https://www.xiaohongshu.com/explore/64103fc0000000001203fc58?xsec_token=ABiKahsJveydyvyBLdalMttmQTGgGUAErs4_WU0a6AMd4=&xsec_source=pc_feed"
    ]
}

Build a weekly watch list of a product category

Schedule this input every Monday from the actor's Schedules tab. Each run saves up to 100 notes per keyword with their dates, so a pivot on searchKeyword and publishedAt shows which topics gain notes week after week.

{
    "keywords": ["防晒", "精华", "粉底液"],
    "maxItems": 100
}

Collect original images for a mood board or a visual audit

Every row lists the note's images in their original size in images, with the first one in coverUrl. On our 25-link test run that was 128 original images. Download the list from the dataset, or open the Text and media view to see each cover.

{
    "noteUrls": [
        "https://www.xiaohongshu.com/explore/64103fc0000000001203fc58?xsec_token=ABiKahsJveydyvyBLdalMttmQTGgGUAErs4_WU0a6AMd4=&xsec_source=pc_feed",
        "https://www.xiaohongshu.com/explore/64a0deac000000001300e8e3?xsec_token=AB7F7OTfM7z8Wy4FYWzkdUpmeBqtq7wAs7eKjLY2EHzyg=&xsec_source=pc_feed"
    ]
}

Archive video notes with their files and first comments

Video notes read from a link carry videoUrl, the original video file, and videoDuration in seconds, plus up to 5 first comments with the province each commenter posts from. Keep the rows and the files together for a campaign report.

{
    "noteUrls": [
        "https://www.xiaohongshu.com/explore/64a0deac000000001300e8e3?xsec_token=AB7F7OTfM7z8Wy4FYWzkdUpmeBqtq7wAs7eKjLY2EHzyg=&xsec_source=pc_feed"
    ]
}

Feed new notes into your own tools

Call the actor from code and keep only the notes that clear your bar. This Python snippet keeps notes with more than 1,000 saves and prints their title and link:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("silentflow/rednote-detail-scraper").call(
    run_input={"keywords": ["露营"], "maxItems": 60}
)
for note in client.dataset(run["defaultDatasetId"]).iterate_items():
    if note["collectsCount"] > 1000:
        print(note["collectsCount"], note["title"], note["url"])

The same dataset is available as CSV, Excel, JSON or XML from the run's Storage tab, or from the dataset API with format=csv.

FAQ

What is RedNote? RedNote (小红书, Xiaohongshu, "little red book") is China's lifestyle and product-review social app, where people post notes made of photos or short videos with a text, often about beauty, fashion, food, travel and shopping. It is the first place many Chinese shoppers check before they buy, which makes its notes a direct read on what a market thinks.

Do I need a RedNote account or a Chinese phone number? No. The actor reads public notes and public search results. There is no login, no phone number and no setting to fill in.

What is the difference between a note link and a keyword? A link returns the note in full: complete text, video file, place tag, tagged users and the first comments. A keyword returns the notes RedNote's search shows for it, with their ID, link, title, opening lines, engagement, hashtags, images, author and dates. Use keywords to discover notes, then paste the links of the ones you want in full.

Why was one of my links skipped? RedNote only opens a note for the link that carries its xsec_token. A bare note ID, or a link someone shortened by cutting everything after the ?, does not open the note, and the run says so in its log. Copy the link from the app's Share button or from the browser address bar and paste it as it is.

How many notes can one keyword return? As many as RedNote's search shows for it, up to maxItems (1000 at most). One page holds 20 notes. On our tests, the keyword 露营 kept returning new notes beyond page 30, while a narrow keyword runs out sooner. The run stops on its own when the search only repeats notes it already gave.

Are the counts exact? Counts read from a note link are the ones the note page shows. Search results round counts above 10,000, for example 1.7万 becomes 17,000; paste the note's link when you need the exact figure. All counts are live, read at run time, so date your analyses with scrapedAt.

How long do image and video links last? The links in images and coverUrl point to the original image files and stayed valid in our checks. videoUrl points to the original video file. Download what you want to keep: a creator can delete a note, and its media goes with it.

Can I run several keywords and links at once? Yes. Put as many links and keywords as you need in one input. A note found by two keywords, or by a keyword and a link, is saved once.

Can I get a note's full comment thread? Each note read from a link carries the first comments RedNote shows (up to 5) with their likes, reply counts and the commenter's province. For every comment and reply of a note, use a dedicated RedNote comments scraper.

What happens when RedNote's search is busy? Now and then RedNote slows its search down for a while. The run then keeps every note it already saved, still reads all your links, names the keyword that stopped in its log, and ends normally. Run that keyword again a few minutes later.

Does it work for English keywords? Yes. The keyword coffee returned 30 notes on our test run. Chinese keywords return the most notes, because most RedNote posts are written in Chinese.

How fresh is the data? Every run reads RedNote live. Nothing is cached, so a note's likes, saves and comments are the ones it has at the moment of the run.

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• Indeed - Indeed Jobs Scraper | Job Listings in 73 Countries
• Jora - Jora Scraper | Jobs in Australia, New Zealand, Singapore
• StepStone - StepStone Scraper
• YCombinator - YCombinator Jobs Scraper | Startup Jobs, Salaries and Founders
• Arbeitsagentur - Arbeitsagentur Scraper | German and Austrian Job Board
• iimjobs - iimjobs Scraper | Jobs, Companies and Recruiters
• Indeed - Indeed Companies Scraper | Reviews, Salaries, Interviews
• Indeed - Indeed Jobs Scraper | NLP Skills
• LinkedIn - LinkedIn Jobs Scraper
• Naukri & NaukriGulf - Naukri & NaukriGulf Jobs Scraper
• Seek - Seek Job Scraper
• Welcome to the Jungle - Welcome to the Jungle Scraper | Jobs and Company Data
• Ziprecruiter - Ziprecruiter Scraper

🏠 Real estate

• SeLoger - SeLoger Scraper | Real Estate Listings
• Realtor Rental Listings - Realtor Rental Listings Scraper
• Airbnb Pro Host Contact & - Airbnb Pro Host Contact & Email Scraper
• Bien'ici - Bien'ici Scraper | Property Listings
• Rightmove - Rightmove Scraper
• Trulia Rental Listings - Trulia Rental Listings Scraper
• Airbnb Professional Host - Airbnb Professional Host Scraper | Emails, Phones, SIRET
• Airbnb Search - Airbnb Search Scraper
• Bienici - Bienici Scraper
• Idealista - Idealista Scraper
• Realestate.com.au - Realestate.com.au Scraper
• SeLoger - SeLoger Scraper | French Property Listings and Agencies
• Airbnb Search - Airbnb Search Scraper | Prices, Fees, Amenities, Hosts
• Anjuke - Anjuke Scraper | Rental Listings, Prices and Agents
• Idealista - Idealista Scraper
• Realtor Rental - Realtor Rental Scraper
• Trulia Rental - Trulia Rental Scraper | US Rentals, Prices, Pet Policy
• Zillow - Zillow Scraper

📣 Social media

• LinkedIn Post Search - LinkedIn Post Search Scraper | Keywords, Hashtags & Profiles
• Facebook Search - Facebook Search Scraper
• Instagram - Instagram Story Scraper | Stories & Highlights
• LinkedIn Leads - LinkedIn Leads Scraper | Sales Navigator Export
• TikTok - TikTok Scraper
• YouTube - YouTube Channel Scraper | Videos, Shorts and Views
• Facebook Search - Facebook Search Profiles Scraper | People by Name or Keyword
• Instagram Engagement - Instagram Engagement Scraper
• Meta Ad Library - Meta Ad Library Scraper
• OnlyFans - OnlyFans Profile Scraper
• TikTok Trend - TikTok Trend Scraper | Trending Hashtags and Videos
• OnlyFans - OnlyFans Creator Scraper
• Skool Community - Skool Community Scraper
• Facebook Thread - Facebook Thread Profiles Scraper | Followers, Bios & Engagement
• Kuaishou - Kuaishou Scraper | Videos, Comments and Creator Stats
• LinkedIn Ads Library - No Cookies - LinkedIn Ads Library Scraper - No Cookies
• LinkedIn Event - LinkedIn Event Scraper
• LinkedIn Hashtag & - LinkedIn Hashtag & Post Scraper | No Cookies
• Pinterest - Pinterest Ads Scraper | Ad Library, Reach & Targeting
• Reddit - Reddit Comments Scraper | Search, Threads and Replies
• Reddit - Reddit Profiles Scraper | User Karma, Activity and Communities
• Reddit - Reddit Scraper | Posts, Comments and Subreddits
• Reddit - Reddit Scraper | Comments, Posts and Users
• Snapchat - Snapchat Contacts Scraper | Phones, Emails and Websites
• TwitchTracker - TwitchTracker Scraper | Twitch Streamer Stats and Rankings
• Weibo - Weibo Scraper | Posts, Profiles and Engagement
• Xigua - Xigua Scraper | Videos, Creators and Downloads
• Discord - Discord Scraper | Servers, Member Counts and Invites
• Facebook - Facebook Company Scraper | Emails, Phones, Ratings
• Facebook Business Page - Facebook Business Page Scraper
• Kwai - Kwai Scraper | Videos, Creators and Hashtags
• Pinterest - Pinterest Profiles Scraper | Followers, Emails and Bios
• Pinterest - Pinterest Videos Scraper | Video Downloader, MP4 Links, Stats
• Skool Group - Skool Group Scraper
• Snapchat - Snapchat Ads Scraper | Ad Library, Impressions & Targeting
• YouTube - YouTube Transcript Scraper

🏢 Business data

• Tencent - Tencent Scraper | Maps Places, Phones and Ratings
• LinkedIn People Search - LinkedIn People Search Scraper | Profiles & Companies
• LinkedIn Company Search - LinkedIn Company Search Scraper | Profiles & Firmographics
• Bilibili - Bilibili Scraper | Videos, Profiles, Comments, Danmaku
• Company Data - Company Data Scraper | Emails, Phones and Tech Stack
• FanDuel - FanDuel Scraper | Odds, Spreads and Player Props
• ForexFactory - ForexFactory Scraper | Economic Calendar and Forecasts
• Justdial - Justdial Companies Scraper | Business Leads, Phones and Emails
• Kakao - Kakao Scraper | Map Places, Reviews and Phones
• OpenTable - OpenTable Reviews Scraper | Restaurant Reviews and Ratings
• SoftwareAdvice - SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons
• Teachable Course - Teachable Course Scraper
• Zomato - Zomato Reviews Scraper | Restaurant Ratings and Replies
• 2GIS - 2GIS Reviews Scraper | Ratings, Photos and Owner Replies
• LinkedIn Sales Navigator - LinkedIn Sales Navigator Scraper
• Teachable - Courses, Prices & Instructors - Teachable Scraper - Courses, Prices & Instructors
• Trustpilot - Trustpilot Scraper | Reviews, Ratings and Company Contacts
• Website Tech Stack - Website Tech Stack Scraper

✈️ Travel

• Google Maps - Google Maps Scraper
• Flight Price - Flight Price Scraper
• Booking.com Hotel - Booking.com Hotel Scraper
• Trip - Trip Reviews Scraper | Hotel Reviews and Ratings
• Booking - Booking Scraper | Hotel Prices, Photos, Availability

🎯 Lead generation

• Northdata - Northdata Company Scraper
• ZocDoc - ZocDoc Scraper | Doctors, Reviews and Availability
• UK Companies House - UK Companies House Enricher
• Dealroom - Dealroom Scraper | Companies and Investors
• CNPJ Brazilian - CNPJ Brazilian Company Enricher
• Google Ads Transparency - Google Ads Transparency Scraper
• SIRET - SIRET Company Enricher
• BuiltWith - BuiltWith Scraper | Tech Stacks and Top Sites
• Domain - Domain Enricher
• French Company Prospector - French Company Prospector
• PagesJaunes - PagesJaunes Scraper | French Business Emails and SIRET
• SEC - SEC Scraper | EDGAR Filings and Company Data
• USPTO - USPTO Scraper | Trademark Search and Status
• ZocDoc - ZocDoc Scraper
• Clutch - Clutch Scraper | Agencies, Reviews, Ratings, Services
• Clutch Agency - Clutch Agency Scraper
• Dealroom Startup Data - Dealroom Startup Data Scraper
• G2 - G2 Reviews Scraper
• PagesJaunes - PagesJaunes Business Scraper
• SIRET French - SIRET French Company Enricher
• ThomasNet Suppliers - ThomasNet Suppliers Scraper

🔎 SEO

• Similarweb - Similarweb Scraper | Website Traffic, Rankings and Competitors
• Apple - Apple Scraper | App Store Apps, Ratings and Charts
• Google News - Google News Scraper

📈 Marketing

• Pexels - Pexels Scraper | Photos, Videos and Download Stats

🧰 More tools

• Apple - Apple Reviews Scraper | App Store Reviews and Ratings
• PrizePicks - PrizePicks Scraper | Player Props, Lines and Projections

Support

Need something this scraper doesn't do yet? We ship features fast.

• Feature requests go straight to our backlog
• Enterprise needs? We do custom integrations and high-volume plans
• Pricing questions? Check the Monetization tab on the actor page

Response time: usually under 24 hours.

Legal compliance

This Actor extracts publicly available data from RedNote (小红书, Xiaohongshu). It does not bypass any login, paywall or CAPTCHA. Users are responsible for complying with RedNote's terms of service and with applicable data protection laws (GDPR in the European Union, CCPA in California, and PIPL in China where relevant). Rows carry creators' and commenters' public names, avatars and the region RedNote shows next to their comments, which are personal data when they belong to an individual: handle them accordingly when you store, analyse or contact them. Images and videos belong to their creators; check your rights before you republish or reuse them. The data returned is informational: counts change every day, so date your analyses with scrapedAt.

RedNote Detail Scraper by SilentFlow: every note you paste or search, with its text, engagement, images, video and author, in one table.