Social

Free Github repositories scraper – Export Data to CSV, Excel & JSON

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600+Users

Collect posts, likes, and engagement from social platforms.

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Pricing

Pay once, scrape forever

$29.99 one-time

Unlimited rows & unlimited scrapes

  • All Free plan features, plus:
  • Unlimited rows per scrape
  • Unlimited scrapes per day
  • 14-day cloud storage
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Free Github repositories scraper – Export Data to CSV, Excel & JSON

Collect posts, comments, likes, shares and engagement metrics from social platforms to monitor trends, influencers and campaign performance. Outputs structured datasets ready for social listening and content analysis.

Relevant For

How to Use

  1. 1

    Define search scope

    Choose hashtags, profiles, or subreddits and set date ranges for collection.

  2. 2

    Select post fields

    Choose content, author, date, likes, comments and tags to scrape.

  3. 3

    Run & moderate

    Run the scraper and filter out spam; sample results for relevancy.

  4. 4

    Export & analyze

    Export for trend analysis, social listening, or campaign optimization.

Fields Scraped

FieldType
Post ContentText
Post DateDate
Comments CountNumber
Likes CountNumber
Shares CountNumber
TagsText
Followers CountNumber
Profile BioURL
WebsiteURL
LocationText
DescriptionText
RatingNumber
Review CountNumber

Export Formats

CSVExcelGoogle SheetsJSONAPI

Example Output

Data Preview
Repository NameOwnerStarsForksLanguageRepo Url
awesome-ai-toolsdevhub184203120Pythonhttps://github.com/devhub/awesome-ai-tools
react-dashboard-templatefrontend-labs76201321JavaScripthttps://github.com/frontend-labs/react-dashboard-template

Frequently Asked Questions

What GitHub repository data can be scraped?

You can extract repository names, owners, stars, forks, languages, and repository URLs.

Can this be used to find trending open-source projects?

Yes, GitHub scraping can help identify trending repositories and technologies.

Can repository data be exported?

Yes, it can be exported to CSV, Excel, or JSON.

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