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GitHub Issues Scraper - Issues & Pull Requests Monitor

Pricing

$0.50 / 1,000 issue or pull requests

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GitHub Issues Scraper - Issues & Pull Requests Monitor

GitHub Issues Scraper - Issues & Pull Requests Monitor

Track GitHub issues and pull requests across repositories, organizations, users or searches: new, updated, closed and merged items with title, state, labels, author, dates and links. Export to CSV, JSON or Excel, schedule runs or use the API.

Pricing

$0.50 / 1,000 issue or pull requests

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Developer

Automly

Automly

Maintained by Community

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Monthly active users

15 days ago

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What is GitHub Issues Scraper?

GitHub Issues Scraper is a tool that lets you scrape and monitor issues and pull requests from GitHub: title, full text, state, merged status and dates, author, labels, assignees, milestone, comment and reaction counts, for any repository, organization, user or GitHub search. Add the repositories you care about, click Start, and download the issues and pull requests as Excel, CSV or JSON.

  • 🔔 Monitoring: turn on incremental monitoring and each run returns only what changed since the last one
  • 🗂️ Any source: repositories, whole organizations, users or your own GitHub issue searches, mixed in one run
  • 🔓 No login: no GitHub account or key needed for public repositories
  • 💸 Free to try: the $5 of free usage every Apify account gets each month covers about 10,000 issues or pull requests

What can GitHub Issues Scraper do?

  • Scrape GitHub issues from any public repository
  • Scrape GitHub pull requests with merged status and merge date
  • Monitor all issues and pull requests across a GitHub organization
  • Track the issues and pull requests a GitHub user opens
  • Filter GitHub issues by label, such as bug or good first issue
  • Get open, closed or all GitHub issues updated since a date
  • Monitor new GitHub issues on a schedule without getting the same ones twice
  • Export GitHub issues and pull requests to Excel, CSV, JSON, HTML or XML

What data can you extract from GitHub issues and pull requests?

📝 Title📄 Full text (Markdown) and one-line summary🔀 Issue or pull request
🟢 State (open or closed)✅ Merged status📅 Created, updated, closed and merged dates
👤 Author🏷️ Labels🙋 Assignees
🎯 Milestone💬 Comment count👍 Reaction count
📦 Repository and owner📝 Draft and locked flags🔗 Link to the issue or pull request

How to scrape GitHub issues and pull requests

  1. Create a free Apify account (no credit card needed).
  2. Open GitHub Issues Scraper.
  3. Add Repositories (owner/repo or a GitHub link), Organizations, Users or Search queries.
  4. Choose Item kinds and State, add Labels or Updated since if you want, set Max items and click Start.
  5. When the run finishes, download your issues and pull requests as Excel, CSV, JSON, HTML or XML.

How much does it cost to scrape GitHub issues?

From 15 October 2026 you pay $0.50 per 1,000 issues or pull requests, on every Apify plan. Apify platform usage is included in this price, so there is nothing else to pay for the run. Until then, see the Pricing tab for the current terms.

For example, from 15 October 2026 a monitor that returns 1,000 new or updated issues and pull requests in a month costs $0.50 on the Free plan, and the same on every other plan.

Every Apify account gets $5 of free usage each month. See the Pricing tab for details.

⬇️ Input

Combine sources freely: for example, two repositories, a whole organization and a custom search in one run.

SettingWhat it does
RepositoriesRepositories to monitor, as owner/repo or a full GitHub URL
OrganizationsOrganization logins, to monitor all their public repositories
UsersUser logins whose issues and pull requests to monitor
Search queriesYour own GitHub issue searches, e.g. repo:apify/crawlee label:bug or org:microsoft vscode in:title
Item kindsissues, pullRequests or both (default both)
Stateopen, closed or all (default open)
Updated since (ISO datetime)Only items updated at or after this time, e.g. 2024-01-01T00:00:00Z
LabelsOnly items that carry all of these labels
Max itemsTotal items to collect across all sources (default 50, up to 1,000)
Include comment countAdd the number of comments to each item (on by default)
Include labelsAdd the label names to each item (on by default)
Include reactionsAdd the total reaction count to each item (off by default)
Incremental monitoring (checkpoint)Remember the latest activity per source and return only newer items next run
Pause between steps, connection settings and your own GitHub keyOptional. The defaults work for most runs

Example: open issues and pull requests in one repository and one organization, updated in 2024 or later.

{
"repositories": ["apify/apify-sdk-python"],
"organizations": ["apify"],
"itemKinds": "both",
"state": "open",
"since": "2024-01-01T00:00:00Z",
"maxItems": 100,
"includeCommentsCount": true,
"includeReactions": true
}

Example: a daily bug monitor that returns only new activity.

{
"searchQueries": ["repo:apify/crawlee label:bug"],
"state": "all",
"useStateCheckpoint": true,
"maxItems": 200
}

⬆️ Output

You get one row per issue or pull request. itemKind says which one it is, and sourceKind plus monitorQuery show which of your sources found it. You can view the rows as a table in Apify Console or download them as Excel, CSV, JSON, HTML or XML.

{
"sourceKind": "repository",
"monitorQuery": "apify/apify-sdk-python",
"repository": "apify/apify-sdk-python",
"owner": "apify",
"itemKind": "issue",
"itemId": 3674179687,
"itemNumber": 692,
"itemUrl": "https://github.com/apify/apify-sdk-python/issues/692",
"title": "Publish to conda-forge",
"bodyText": "Blocked by:\n- https://github.com/apify/apify-client-python/issues/545\n- https://github.com/apify/crawlee-python/issues/104 (Old version in review, will need to be updated to match latest version)",
"summary": "Blocked by: - https://github.com/apify/apify-client-python/issues/545 - https://github.com/apify/crawlee-python/issues/104 (Old version in review, will need to be updated to match latest version)",
"state": "open",
"isMerged": false,
"createdAt": "2025-11-28T09:16:31Z",
"updatedAt": "2025-11-28T09:16:39Z",
"closedAt": null,
"mergedAt": null,
"authorLogin": "Pijukatel",
"labels": ["t-tooling"],
"assignees": ["Pijukatel"],
"commentsCount": 0,
"reactionsCount": null,
"milestone": null,
"isDraft": null,
"isLocked": false,
"fetchedAt": "2026-09-27T18:19:52Z"
}
FieldDescription
sourceKindrepository, organization, user or searchQuery
monitorQueryThe source that found the item
repositoryFull owner/repo name
ownerRepository owner login
itemKindissue or pullRequest
itemIdGitHub global identifier
itemNumberIssue or pull request number in the repository
itemUrlLink to the issue or pull request on GitHub
titleTitle
bodyTextFull text (Markdown)
summaryOne-line summary of the text
stateopen or closed
isMergedtrue when a pull request has been merged
createdAt / updatedAt / closedAt / mergedAtActivity dates
authorLoginLogin of the author
labelsLabel names
assigneesAssignee logins
commentsCountNumber of comments (when included)
reactionsCountTotal reactions (when included)
milestoneMilestone title, if any
isDrafttrue for draft pull requests
isLockedtrue when the conversation is locked
fetchedAtWhen the record was collected

How to monitor new GitHub issues and pull requests

There are two ways to get only fresh activity each run:

  1. Set Updated since to the time of your last run.
  2. Or turn on Incremental monitoring (checkpoint). The actor remembers the latest activity per source and returns only newer items next time. An explicit Updated since always takes precedence.

Then schedule the actor to run every hour or every day, and send the new items to Slack, email or a spreadsheet with an integration.

How can I use GitHub issues data?

  • Developer relations: keep an eye on issues and pull requests across the repositories your community depends on
  • Security triage: watch for newly opened issues or pull requests that mention security topics
  • Competitive tracking: follow activity in competitors' open-source projects
  • Open-source maintenance: track incoming issues and pull requests across a whole organization
  • Sales and lead signals: find people opening issues or pull requests around topics you sell into

Scrape more GitHub and developer data

ActorWhat it gets
GitHub Repository Scraper - Repos, Issues & Pull RequestsRepository details, open issues, pull requests and contributor profiles
GitHub Users Scraper - Developers by Location & CompanyGitHub users and organizations by keyword, location, company and follower count
GitHub Code Search APIPublic code files that match your search, with repository details
PyPI Release Monitor - New Python Package VersionsNew versions of the Python packages you follow
Docker Hub Scraper - Image Tags & Release MonitorNew Docker Hub image tags and releases
Hacker News Scraper - Stories, Comments & TrendsHacker News stories and discussions by keyword, points and date

❓FAQ

How much does it cost to monitor GitHub issues?

From 15 October 2026 it costs $0.50 per 1,000 issues or pull requests, with platform usage included. See the cost section above and the Pricing tab.

Do I need a GitHub account or key?

No. Public repositories need no GitHub account, login or key, whatever the size or schedule of your runs. You can add your own GitHub key in the optional settings if you also want private repositories that your key can see.

How many issues can I get per run?

Up to 1,000 per run (Max items). Organization, user and search sources return up to 1,000 of the most recent matches each. If a very large run ends early, it keeps everything it collected up to that point.

Is a pull request counted as an issue?

On GitHub a pull request is a kind of issue. This actor marks each row clearly as issue or pullRequest, and Item kinds lets you get only one of them.

Can I get closed and merged pull requests?

Yes. Set State to closed or all. Merged pull requests have isMerged: true and a mergedAt date.

Can I connect GitHub Issues Scraper to other tools or AI agents?

Yes. Start runs and download results with the Apify API or the Python and JavaScript clients, send results to Make, Zapier, n8n, Google Sheets or Slack with Apify integrations and webhooks, or let AI assistants and agents run it through the Apify MCP server at mcp.apify.com.

This actor only collects issues and pull requests that are public on GitHub. They can still contain personal data, such as usernames, which may be protected by laws such as GDPR, so only scrape it for a legitimate reason and ask a lawyer if you are unsure. You can read more in Is web scraping legal?

GitHub Issues Scraper is an independent tool. It is not affiliated with, endorsed by or sponsored by GitHub.

Something isn't working?

Open the Issues tab and tell us your input and what you expected.

⭐ Your feedback

Have an idea or found a problem? Tell us on the Issues tab. If GitHub Issues Scraper saved you time, a short review on the Reviews tab helps other people find it.