Indiegogo Comments Scraper: Extract Campaign Feedback Data

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What Is Indiegogo?

Indiegogo is a global crowdfunding platform hosting thousands of active campaigns across technology, creative, and innovative product categories. Campaign comments sections contain valuable community feedback, questions, and sentiment data that reveal backer concerns, product reception, and campaign momentum. Manually reviewing thousands of comments is impractical — the Indiegogo Comments Scraper automates this, extracting structured comment data at scale for analysis and research.

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Overview

The Indiegogo Comments Scraper collects comment threads and individual comments from Indiegogo campaign pages, transforming unstructured text into machine-readable records. It is designed for:

• Campaign creators analyzing backer feedback and sentiment
• Market researchers studying product reception and community engagement
• Data analysts building datasets on crowdfunding trends
• Sentiment analysis teams processing large comment volumes

Key strengths include robust thread handling (capturing parent-child comment relationships), moderation metadata, timestamp tracking, and engagement metrics like like counts and pinned comments.

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Input Format

The scraper accepts a JSON configuration object:

{
  "ignore_url_failures": true,
  "max_items_per_url": 200,
  "urls": [
    "https://www.indiegogo.com/en/projects/rfidresearchgroup/proxmark5/comments"
  ]
}

Field	Description
urls	Direct links to Indiegogo campaign comment sections (must end with /comments)
max_items_per_url	Maximum comments extracted per URL (e.g., 200 collects up to 200 comments per campaign)
ignore_url_failures	If true, continues scraping if some URLs fail; if false, stops on error

Tip: Indiegogo comment pages load dynamically; the scraper handles pagination automatically to reach your max_items_per_url limit.

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Output Format

Sample output

{
  "author_id": null,
  "author_type": 0,
  "children": [
    {
      "author_i_d": 39735651,
      "author_type": 0,
      "children": null,
      "children_total_count": 0,
      "comment_i_d": 7768859,
      "comment_thread_i_d": 1530563,
      "created_at": "2026-05-31T01:18:05.13Z",
      "edited_at": "2026-05-31T01:26:27.843Z",
      "is_deleted": false,
      "is_hidden": false,
      "is_reported_by_creator": false,
      "likes_count": 0,
      "newer_children_count": 0,
      "new_replies_count": 0,
      "parent_i_d": 7768778,
      "pinned_at": null,
      "text": "I had the same question, wouldn’t want to miss out even though I have a predefcon unit. I think it would be alright to ship the housing after since it probably won’t be ready.",
      "user_comment": null
    },
    {
      "author_i_d": 39735158,
      "author_type": 0,
      "children": null,
      "children_total_count": 0,
      "comment_i_d": 7768946,
      "comment_thread_i_d": 1530563,
      "created_at": "2026-05-31T18:46:17.317Z",
      "edited_at": null,
      "is_deleted": false,
      "is_hidden": false,
      "is_reported_by_creator": false,
      "likes_count": 0,
      "newer_children_count": 0,
      "new_replies_count": 0,
      "parent_i_d": 7768778,
      "pinned_at": null,
      "text": "Taylor said on Discord that it's only post defcon. I assume those that got pre-defcon will still receive it but only later, when everyone else will.",
      "user_comment": null
    }
  ],
  "children_total_count": 2,
  "comment_id": null,
  "comment_thread_id": null,
  "created_at": "2026-05-30T12:18:50.9Z",
  "edited_at": null,
  "is_deleted": false,
  "is_hidden": false,
  "is_reported_by_creator": false,
  "likes_count": 0,
  "newer_children_count": 0,
  "new_replies_count": 0,
  "parent_id": null,
  "pinned_at": null,
  "text": "is the transparent case sent in pre defcon fullfilment?",
  "user_comment": null,
  "from_url": "https://www.indiegogo.com/en/projects/rfidresearchgroup/proxmark5/comments"
}

Each scraped comment returns a record with 17 core fields, organized by category:

Comment Identification

Field	Meaning
Comment ID	Unique identifier for this comment within Indiegogo's system
Comment Thread ID	Thread identifier; comments with the same thread ID belong to the same conversation
Text	The actual comment text content written by the author
User Comment	Flag or additional metadata indicating comment type

Author Information

Field	Meaning
Author ID	Unique identifier for the person who posted the comment
Author Type	Category of author (e.g., backer, creator, team member, verified supporter)

Comment Hierarchy & Threading

Field	Meaning
Parent ID	ID of the comment this reply is responding to (null if top-level comment)
Children	Array of child comment IDs (replies to this comment)
Children Total Count	Total number of direct replies to this comment
Newer Children Count	Count of newly added replies since last update
New Replies Count	Number of fresh replies to track new activity

Timestamps & Activity

Field	Meaning
Created At	ISO timestamp when the comment was originally posted
Edited At	ISO timestamp if the comment was edited; null if never modified
Pinned At	ISO timestamp if the comment was pinned by creator or moderator; null otherwise

Engagement Metrics

Field	Meaning
Likes Count	Number of upvotes or likes the comment has received

Moderation & Status

Field	Meaning
Is Hidden	Boolean flag; true if comment is hidden from public view (e.g., spam, off-topic)
Is Deleted	Boolean flag; true if comment author or moderator deleted it
Is Reported By Creator	Boolean flag; true if the campaign creator flagged this comment for review

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How to Use

1. Find campaign comment URLs — Navigate to any Indiegogo campaign page, scroll to the Comments section, and copy the URL (must include /comments path).
2. Configure inputs — Paste comment section URLs into the urls array. Set max_items_per_url based on desired volume (e.g., 200 for detailed analysis of all comments).
3. Set error handling — Use ignore_url_failures: true for batch processing to prevent interruptions if a campaign URL is inaccessible.
4. Run the scraper — Start the actor and monitor progress in the run log.
5. Export results — Download as JSON, CSV, or Excel for analysis in Python, R, or spreadsheet tools.

Best practices:

• Test with max_items_per_url: 50 first to verify URL format and response structure.
• For campaigns with thousands of comments, use max_items_per_url: 200–500 to balance coverage and runtime.
• Parent-child relationships are preserved in Parent ID and Children fields for conversation analysis.

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Use Cases & Business Value

• Sentiment analysis: Process text content to gauge backer satisfaction and product feedback
• Community engagement: Identify influential commenters (high likes, pinned comments) and key discussion threads
• Competitive research: Monitor similar campaigns and understand market reception patterns
• Customer insights: Extract feature requests, concerns, and questions directly from the community
• Academic research: Study crowdfunding dynamics, backer behavior, and creator-community interaction

The Indiegogo Comments Scraper transforms qualitative feedback into quantitative datasets, enabling data-driven decisions on product development, marketing strategy, and community management.

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Conclusion

The Indiegogo Comments Scraper is the go-to solution for extracting campaign feedback at scale. With full thread context, moderation metadata, and engagement metrics across 17+ fields, it unlocks insights hidden in thousands of comments. Whether analyzing sentiment, tracking community sentiment, or building crowdfunding research datasets, this scraper delivers clean, actionable data in minutes.