Billboard Hot 100 List Scraper

With Billboard, the global music chart leader, booming, are you wasting countless hours manually collecting Billboard Hot Songs chart data (such as song rankings, artist information, chart duration, streaming data, and more)? Faced with Billboard's massive, real-time chart content, efficiently obtaining structured hit data, gaining insights into global music trends, optimizing music marketing and promotion strategies, and facilitating music copyright partnership decisions, has become a common challenge for music marketers, record label analysts, and music-related self-media professionals. Say goodbye to tedious manual copy-paste and data wrangling. BrowserAct will revolutionize the way you access Billboard Hot Songs chart data.

What is BrowserAct Billboard Hot List Scraper?

BrowserAct is a powerful automated data extraction tool that lets you scrape jobs from the internet without any coding knowledge.It efficiently retrieves music chart information from massive amounts of information.

How can it help you in the field of music charts?

• Billboard Data Scraping: Our Billboard crawler intelligently identifies and extracts key data from Billboard's top song charts, including but not limited to real-time song ranking, song title, artist name, number of weeks on the chart, current streaming volume, radio play count, digital downloads, and album title. It covers key chart scenarios like the Billboard Hot 100.
• AI-Powered Field Suggestion: Leveraging AI to intelligently identify the structure of Billboard chart pages, it quickly suggests and extracts key fields such as song ranking, artist name, song title, chart duration, streaming data, and album title. This eliminates the need to manually locate data and directly generate structured data, effectively supporting your music trend analysis or industry research.
• Expected Results：You can use BrowserAct as a powerful scraping tool to scrape the Billboard Hot 100 and extract charting information for songs. Here's a breakdown of the key fields you can target, including core fields in specific formats and advanced options for deeper insights:

• • Song Title: Extract the full song title.
    Artist Name: Extract the full artist or band name (e.g., "Alex Warren" , "Maroon 5")
    Current Rank: Extract the song's current chart position.
    LW: Extract the song's chart position last week.
    PEAK: Extract the song's peak chart position.
    WEEKS: Extract the number of weeks the song spent on the chart.
    Main Image URL: Source of the song's album cover.

• Ideal Users: This crawler is suitable for music marketers, record company data analysts, music-related self-media creators, music platform operators, and music industry researchers. It helps you quickly obtain structured Billboard chart data, providing data support for business decisions (such as marketing promotion, copyright cooperation, and content selection) to drive business growth.

Features and Workflow Capabilities

• Input Parameters for Effective Billboard Scraping. Detailed explanation of required input parameters, presented in a table for clarity:

• Output supported formats: JSON, CSV, Markdown, XML, ideal for easy download and integration after you scrape Billboard.
• Scope and Limitations of the Billboard Hot List Scraper:
• • Supported Websites/Platforms: Specifically designed for Billboard, it allows you to access the latest popular music charts in real time. As soon as the charts are updated, your scraped data will be the most current.
  • Data Types: This includes song titles, artists, rankings, cover URLs, and more.
  • Geographic Restrictions: No specific limits, but browser IP can be set to match target regions.
  • Data Scale: The scraping is based on the chart's maximum capacity.

How to Use BrowserAct as a Billboard Scraper

Step 1: Create Workflow and Set Input Parameters

• Click the "Workflow" button in the left sidebar, then "Create" to name your workflow (e.g., "Billboard Hot List Scraper").
• Define customizable inputs for flexibility:

• • target_url: Default Billboard URL. (e.g., https://www.billboard.com/charts/hot-100/)
    product_limit: The number of products you want to scrape. (e.g., 100)

• Click "Use the default value" for each and set defaults (e.g., default URL to "https://www.billboard.com/charts/hot-100/"). This allows quick runs without manual tweaks. Parameters are reusable with automatic type detection, making your workflow flexible for actions like visiting pages.

Step 2: Add Navigation and Search Actions 📍

• Click the "+" icon to add actions. Start with "Visit Page" and enter "Visit /url" to direct the workflow to the specified URL, such as https://www.billboard.com/charts/hot-100/. BrowserAct's AI will automatically understand the page structure, powering your Billboard web scraper without hassle.
• Continue adding the following sequence of actions to simulate a natural search (labeling repeated action types for clarity):
• • Click Element (1 - for Close Pop-up Ads): Input "No need to scroll the page, If there is a pop-up window, click the “x” or “got it” to close it." to close pop-up ads
  • Scroll Page (1 - for Viewing More Songs): Input "Scroll down the page to load more songs until at least 10 items are visible." to scroll.

Step 3: Add "Extract Data" Action 📊

• Click "+" and select "Extract Data." In the description box, specify what to extract and set limits, such as:

Extract 100 pieces of information. Data fields to extract:
  Song Title: Extract the full song title.
  Artist Name: Extract the full artist or band name (e.g., "Alex Warren" , "Maroon 5")
  Current Rank: Extract the song's current chart position.
  LW: Extract the song's chart position last week.
  PEAK: Extract the song's peak chart position.
  WEEKS: Extract the number of weeks the song spent on the chart.
  Main Image URL: Source of the song's album cover.

• In the "Collection range" box, add a filter like: "EXCLUDE: Advertisement, videos" to refine results and avoid irrelevant data.
• The AI will interpret your request and precisely scrape Billboard Hot List—no CSS selectors, no XPath, no coding required. This makes BrowserAct a seamless job scraper for scraping jobs from the internet.

Step 4: Add Output, Publish, and Run 📈

• Click "+" and select "Finish: Output Data." Choose CSV as the output format and enable "Output as a file" for easy downloading.

• Click "Test" to run your workflow and ensure it works properly.

• Click "Publish" to save and finalize your Billboard scraper.

• Navigate to the "Run" section. Adjust parameters if needed (or use defaults), then click "Start" to execute the scrape.

Step 5: Download the Results

• Before downloading, you can preview the scraped results to see if they meet your expectations.

• Once the run completes, download the generated CSV file containing your scraped job data.