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Lattice Stories Info Scraper

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from $9.00 / 1,000 results

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Lattice Stories Info Scraper

Lattice Stories Info Scraper

The Lattice Stories Info Scraper efficiently extracts detailed data from Lattice customer stories, including titles, meta descriptions, and article content....

Pricing

from $9.00 / 1,000 results

Rating

0.0

(0)

Developer

GetDataForMe

GetDataForMe

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

15 days ago

Last modified

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Introduction

The Lattice Stories Info Scraper is a powerful tool designed to extract detailed information from Lattice customer stories. It efficiently gathers data such as titles, meta descriptions, customer details, and article content, providing valuable insights for market research and competitive analysis.

Features

  • Comprehensive Data Extraction: Captures detailed information from Lattice customer stories.
  • High Data Quality: Ensures accurate and reliable data collection.
  • Efficient Performance: Quickly processes multiple URLs for fast results.
  • User-Friendly Interface: Easy setup and configuration for seamless operation.
  • Scalable: Handles large volumes of data efficiently.
  • Customizable Output: Supports various output formats including JSON, CSV, and Excel.
  • Automated Operation: Set it and forget it; the scraper runs autonomously.

Input Parameters

ParameterTypeRequiredDescriptionExample
startUrlsarrayYesURLs to start with.["https://lattice.com/customers/9fin"]

Example Usage

Example Input

{
"startUrls": [
{
"url": "https://lattice.com/customers/9fin"
}
]
}

Example Output

[
{
"url": "https://lattice.com/customers/9fin",
"title": "How 9fin Uses Lattice to Enable a Feedback-driven Culture | Lattice",
"metaDescription": "9fin is a leading provider of debt market intelligence and offers everything you need to analyse a credit, or win a mandate in one AI-powered platform.",
"customer": {
"name": "",
"logoUrl": "https://cdn.prod.website-files.com/64d227d0bd6695f39ef77395/67518de1e14d0eed5c4f1283_logo-9fin-color.svg",
"industry": "Financial Services",
"hq": "London, United Kingdom",
"companySize": "Mid-Market (100 - 1000)",
"description": "9fin is a leading provider of debt market intelligence and offers everything you need to analyse a credit, or win a mandate in one AI-powered platform."
},
"hero": {
"headline": "How 9fin Uses Lattice to Enable a Feedback-driven Culture",
"featureImage": "https://cdn.prod.website-files.com/64ad6f1aef87635bd23449f1/695fc290164989ba352e1de1_nav-bark.webp"
},
"author": {
"name": "Liz Bell",
"role": "Head of People @ 9fin",
"photoUrl": "https://cdn.prod.website-files.com/64d227d0bd6695f39ef77395/675191ee5fe3653a0fc7d6eb_photo-liz-bell.webp"
},
"article": {
"summary": "",
"content": "<p id>Feedback is something we try and embed into our day-to-day at 9fin, as opposed to an exercise that happens once or twice a year...</p>",
"contentText": "Feedback is something we try and embed into our day-to-day at 9fin, as opposed to an exercise that happens once or twice a year..."
}
}
]

Use Cases

  • Market research and analysis
  • Competitive intelligence gathering
  • Content aggregation for business insights
  • Academic research on business strategies
  • Automation of data collection for reporting
  • Monitoring industry trends and customer feedback

Installation and Usage

  1. Search for "Lattice Stories Info Scraper" in the Apify Store.
  2. Click "Try for free" or "Run".
  3. Configure input parameters.
  4. Click "Start" to begin extraction.
  5. Monitor progress in the log.
  6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is a JSON array where each object contains:

  • url: The URL of the story.
  • title: The title of the story.
  • metaDescription: A brief description of the story.
  • customer: Information about the customer, including name, logo URL, industry, headquarters, company size, and description.
  • hero: Headline and feature image of the story.
  • author: Details about the author, including name, role, and photo URL.
  • article: The article content, both in HTML and plain text.

Support

For custom/simplified outputs or bug reports, please contact:

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