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Facebook Event Scraper

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Facebook Event Scraper

Facebook Event Scraper

Keep Facebook event records in one working calendar file. Start with Facebook event URLs; each returned event keeps event identifiers, titles, start date text, responses count, and video views count.

Pricing

from $2.57 / 1,000 videos

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ReapX

ReapX

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21 hours ago

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Keep Facebook event records in one working calendar file. Start with Facebook event URLs; each returned event keeps event identifiers, titles, start date text, responses count, and video views count.

Facebook Event Scraper source page and returned record

What it returns

Each row keeps the Facebook source record beside the fields needed to use it. The opening set is eventId, title, startDateText, responsesCount, hostName, privacyType, isOnline, description, videoViewsCount, url, route, and wireBytes. The complete schema is declared before the run, and dataset views keep related fields together without changing the underlying row.

Captured row

{
"responsesCount": 1200,
"videoViewsCount": 1700000,
"privacyType": "Public",
"eventId": "4632257463672182"
}

Input

Facebook Event Scraper published input controls

Facebook Event Scraper input-to-run walkthrough

Facebook Event Scraper accepts source URLs. Run controls stay in the same form.

FieldWhat it controlsStarting value
startUrlsPaste exact Facebook URLs, one per line.["https://www.facebook.com/events/4632257463672182/"]
maxItemsStop after this many dataset rows.12
maxSecondsStop after this many seconds and keep completed rows.300

Example input

{
"startUrls": [
"https://www.facebook.com/events/4632257463672182/"
],
"maxItems": 3,
"maxSeconds": 240
}

No field is required. Start with the filled example, then replace only the target values needed for the job. Run controls can stay at their starting values for the first collection.

Dataset fields

Facebook Event Scraper declared output schema

FieldType
eventIdstring
titlestring
startDateTextstring
responsesCountinteger
hostNamestring
privacyTypestring
isOnlineboolean
descriptionstring
videoViewsCountinteger
urlstring
routestring
wireBytesinteger
scrapedAtstring

Dataset views

Views are working surfaces for review and export. They select and order fields while leaving the stored row unchanged.

ViewOpening fields
overvieweventId, title, hostName, description, responsesCount, videoViewsCount, startDateText, and scrapedAt
identityeventId, title, and hostName
contenteventId, title, url, and description
engagementeventId, title, url, and responsesCount
mediaeventId, title, url, and videoViewsCount
timingeventId, title, url, startDateText, scrapedAt, and wireBytes

Output and exports

OutputTypeDestination
resultsstring{{links.apiDefaultDatasetUrl}}/items
jsonstring{{links.apiDefaultDatasetUrl}}/items?clean=true&format=json
csvstring{{links.apiDefaultDatasetUrl}}/items?clean=true&format=csv
excelstring{{links.apiDefaultDatasetUrl}}/items?clean=true&format=xlsx
jsonlstring{{links.apiDefaultDatasetUrl}}/items?clean=true&format=jsonl

Completed rows are available in the Apify dataset as JSON, CSV, Excel, and JSONL exports. The run output also carries the declared links above for API clients and automations.

Pricing

$4.5 per 1,000 dataset items on the Free plan. Other Apify plans use the rates shown in the Pricing tab.

Console, API, schedules, and MCP

Facebook Event Scraper API and MCP invocation

Runs can begin in Apify Console, from a saved task, or through the Actor API. A schedule can reuse the same input, and a run-finished webhook can pass the dataset or run ID to the next system.

POST https://api.apify.com/v2/acts/l3BjHAhrTEXKitHnd/runs
GET https://api.apify.com/v2/datasets/{datasetId}/items

For MCP selection, use Facebook Event Scraper. Its machine entry carries the same description, input field names, no-required-field contract, output types, dataset fields, views, and pricing facts as this document.

Saved tasks

Twenty saved-task products cover distinct lookup, comparison, research, operations, automation, and export jobs:

  • Facebook Event responses detail handoff: buyer-job; opens overview.
  • Facebook Event ID and titles index: buyer-job; opens identity.
  • Facebook Event titles and descriptions reading list: buyer-job; opens content.
  • Facebook Event responses count response volume check: buyer-job; opens engagement.
  • Facebook Event video views count media asset list: buyer-job; opens media.
  • Facebook Event publication and collection dates: buyer-job; opens timing.
  • Facebook Event core responses count detail file: buyer-job; opens overview.
  • Facebook Event identity event ID lookup: buyer-job; opens identity.
  • Facebook Event content descriptions text file: buyer-job; opens content.
  • Facebook Event ID and source lookup: buyer-job; opens engagement.
  • Facebook Event video views count event ID media: buyer-job; opens media.
  • Facebook Event date order file: buyer-job; opens timing.
  • Facebook Event responses count core record view: buyer-job; opens overview.
  • Facebook Event ID identity match file: buyer-job; opens identity.
  • Facebook Event titles content copy review: buyer-job; opens content.
  • Facebook Event titles copy review: buyer-job; opens engagement.
  • Facebook Event video views count image file: buyer-job; opens media.
  • Facebook Event start dates timeline: buyer-job; opens timing.
  • Facebook Event responses count event ID core: buyer-job; opens overview.
  • Facebook Event ID host name identity: buyer-job; opens identity.

Integrations

Use the dataset API from any HTTP client, export rows to a spreadsheet, or send the run ID through an Apify webhook. Saved tasks give schedules and automation tools a stable input without changing the Actor contract.

When a run needs attention

  • No rows: Open the target in a browser, check spelling and source visibility, then retry the saved example before widening the input.
  • A field is empty: Check the field beside its source URL. A missing source value stays empty instead of being replaced with a guess.
  • A target fails: Keep successful targets in the dataset, then retry only the affected input.
  • An automation cannot find results: Read the dataset ID from the run and request its items endpoint directly.

FAQ

What do I get back from one run?

One row per event with 13 declared fields, opening on eventId, title, startDateText and responsesCount. The schema is published before the run, so you know the shape before you spend anything.

Do I need a facebook account or login?

No. The run works from the facebook sources you supply in the input. Nothing is posted, changed or accessed on your behalf.

What does a run cost?

The current rate is shown on the Pricing tab and is charged per row you receive, so a run that finds nothing costs close to nothing. Cap the run with the item limit when you want a predictable ceiling.

Can I try it before committing budget?

Yes. Cap the run with the item limit in the input and inspect the first rows. The cap is enforced before charging, so a trial run stays a trial.

What do I put in the input?

The staged input is already usable: startUrls, maxItems and maxSeconds. Replace the staged target with your own list when you are ready to run for real.

Are any fields required?

No field is required. Every input carries a working default, so the Actor can be started as-is and refined afterwards.

Can I schedule this to run on its own?

Yes. Save the input as an Apify task and attach a schedule. Keep separate tasks when different teams need different targets or delivery paths.

Do I need to configure proxies?

No. Network access is handled inside the Actor and needs no proxy configuration from you.

How fresh is the data?

Every row is collected during the run you start, not served from a cache. Re-run the same input whenever you need the current state of a facebook event.

Can I use the results commercially?

The Actor collects publicly accessible facebook information. You remain responsible for how you use it, including any privacy or contractual obligations that apply to your business.

How do I compare two runs?

Keep eventId and title as your join key and diff the exports. The identity fields stay stable across runs, which is what makes a comparison meaningful.

What happens if a source fails mid-run?

The run continues through the remaining sources and finishes with what it collected. Partial results are still written to the dataset rather than discarded.

Can I limit how long a run takes?

Yes. The maxItems input caps the run. Use it when you need a predictable cost and a predictable finish time.

How do I report a problem?

Open an issue on the Actor with the run ID, the input you used and the field or row that needs attention. The run ID lets the exact execution be inspected.

How is this different from Facebook Ad Scraper?

Facebook Event Scraper answers one job: Keep Facebook event records in one working calendar file.. Facebook Ad Scraper covers a different question on the same platform. Run both when you need both sides.

How do I read the output without scrolling through JSON?

Open the overview view on the Output tab. 6 views ship with the Actor (overview, identity, content, engagement, media and timing), each grouping the fields that belong to one question.

How do I get the data into my own tools?

Export the dataset as JSON, CSV, Excel or XML, call the dataset API directly, or attach a run-finished webhook and collect the dataset reference as soon as the run ends.

Can an agent or LLM call this?

Yes. Facebook Event Scraper is exposed over MCP with the same description, no-required-field input contract and output types shown here, so an agent can select and call it without a human in the loop.

Why is a value empty on some rows?

facebook does not expose every field on every event. An absent value stays empty rather than being filled with a guess, so a row never invents a fact it did not receive.

A run returned fewer rows than I expected. Why?

The usual causes are a narrow source list, an item cap still set low, or a source that genuinely holds less than expected. Widen the input or raise the cap and run again.

Support

Use the Actor issue form for product questions, broken source routes, schema mismatches, and feedback. Include the smallest input that reproduces the problem. That is enough to locate the run and its dataset without sharing an entire working list.

Use this Actor only for data you are allowed to collect. Follow source terms, privacy law, and your own retention policy.