5 Best Facebook Event Scrapers in 2026

The best Facebook events scraper depends on how the data needs to reach you. ScrapeCreators is my pick for a normal REST API with keyword search, city event pages, details, and pagination. Apify is better for configurable Actor jobs. Bright Data fits bulk record delivery. Botsol is the simple desktop-to-Excel option. The facebook-event-scraper package is the self-hosted choice if you are willing to maintain it.

I run ScrapeCreators, so take that ranking with the obvious disclosure. I checked each provider’s own product, pricing, documentation, or repository on September 11, 2026. I also ran one live ScrapeCreators search request. I did not run a controlled reliability benchmark across all five products.

Quick comparison

Rank	Tool	Best for	Price basis checked September 11, 2026	Main tradeoff
1	ScrapeCreators	REST search, city feeds, and event details in an app	100 free credits; $47 for 25,000 credits; tested search used 1 credit	Defined public-data routes rather than a browser you can customize
2	Apify	Actor runs, schedules, datasets, and exports	Actor page advertises from $7 per 1,000 events	An application has to manage runs and datasets
3	Bright Data	Bulk records, batches, and delivery pipelines	5,000 records monthly free; $1.50 per 1,000 records pay as you go	Record billing does not equal request billing
4	Botsol	A visible Chrome workflow that exports to Excel	$20 monthly	Desktop automation is a poor backend for a customer-facing app
5	facebook-event-scraper	A self-hosted Node.js collector for known events and hosted lists	MIT-licensed code; infrastructure and maintenance are yours	You own blocks, changes, sessions, monitoring, and retries

These prices do not share a denominator. One ScrapeCreators request can return a page of events. Apify charges by event produced. Bright Data charges by successful record. Botsol sells a monthly desktop license. Free source code still needs infrastructure and engineering time.

How I ranked these tools

I used questions that expose the real shape of the job:

1. Can it discover events, fetch a known event, or do both?
2. Does it return structured data without forcing the buyer to repair selectors?
3. Can it carry location and date intent instead of returning a broad pile of old events?
4. Is the billing unit clear enough to estimate a complete run?
5. How much scraper maintenance remains after signup?

The live US results for facebook events scraper and facebook event scraper on September 11 were mostly product pages from Apify, Bright Data, Botsol, and open-source repositories. The best facebook event scraper results mixed product pages with broad Facebook scraper roundups. That makes a buyer comparison useful, but it does not justify replacing the existing Facebook Events API product page. The product page remains the owner for exact API intent. This article owns tool selection.

Discovery and details also need to stay separate. A scraper that accepts one known event URL may be excellent at enrichment but useless for finding every conference in a city next week. A search endpoint can discover candidates yet still require a second details call before the record is ready for a calendar, CRM, or alert.

The five best Facebook event scrapers

1. ScrapeCreators

ScrapeCreators’ Facebook Events API is the most direct option here for an application that expects a REST request and JSON response.

The current docs expose three useful jobs:

• Search events accepts a query and returns event rows plus a pagination cursor.
• City events accepts a public Facebook city-events URL. Its optional time value can be today, this_week, or next_week.
• Event details accepts an event ID or URL and returns the fuller event object.

Search rows can include an ID, name, URL, date sentence, Unix start time, place, online and past flags, cover media, ticket context, and public interested or going counts when Facebook exposes them. This is read-only public data. It does not create events, RSVP, invite people, or unlock private events.

The pricing page lists 100 free credits, $47 for 25,000, and $497 for 500,000. Those packs work out to $1.88 and about $0.99 per 1,000 one-credit requests. Credits do not expire. Check the docs because some ScrapeCreators routes cost more than one credit, and a request is not the same thing as one returned event.

Choose ScrapeCreators when the event job will sit inside a product and you want the same account to cover other public Facebook data, such as the Facebook Groups API workflow or Marketplace APIs. Choose another tool when you need arbitrary browser steps or a downloadable Actor dataset instead of fixed endpoints.

2. Apify

Apify’s Facebook Events Scraper is a maintained Actor. It accepts search queries, specific event URLs, Facebook event-search URLs, explore URLs, and hosted event lists from pages or groups. Results can flow into an Apify dataset and export as JSON, JSONL, CSV, Excel, XML, RSS, or an HTML table.

That makes Apify useful for scheduled research jobs. You can configure a run, cap results, save the dataset, connect it to another service, and trigger the Actor through the Apify API. It is more flexible than a single synchronous endpoint.

The Actor page advertises pricing from $7 per 1,000 events. Its detailed copy says the rate varies by Apify plan, with a higher per-event cost on the free plan. The broader Apify pricing page lists a free plan with $5 of platform usage and paid plans with monthly prepaid usage. Model the Actor charge and any surrounding platform work together.

One limitation is easy to miss. Apify says pages and groups rarely expose many hosted events to logged-out users, so scheduled collection may be needed to avoid missing older entries. It also says Facebook’s recommendations can depend on location. A large output count does not prove complete local coverage.

Choose Apify if runs, schedules, integrations, and stored datasets are part of the desired workflow. Skip it when the application only needs one immediate domain-specific response and does not want to manage an Actor lifecycle.

3. Bright Data

Bright Data’s Facebook Events Scraper is built around delivered records. Its page lists event ID, URL, title, date, location, organizer, response counts, image, ticket details, and description. It supports API and no-code collection, JSON or CSV output, webhooks, cloud delivery, and batches of up to 5,000 target URLs per call.

The free tier lists 5,000 records each month. Pay as you go is $1.50 per 1,000 successfully delivered records. The displayed $499 monthly scale tier includes 384,000 records, then lists $1.30 per 1,000 additional records. Bright Data says failed deliveries are not charged.

Choose Bright Data when the job is a large batch of known targets or a record-delivery pipeline and the team wants spend controls, concurrency, and enterprise support. Verify the exact collector first. Extracting details from 5,000 known event URLs and discovering events by city, date, and keyword are different products even if both produce event rows.

4. Botsol

Botsol’s Facebook Events Scraper is a desktop tool. It opens Chrome, lets the user navigate Facebook’s events interface, apply category or location filters, then starts extracting the visible event pages. The output goes to Excel.

Its page lists title, date, location, interested and going counts, host, tickets, price, duration, group, tags, description, image, and URL. Botsol says login is optional and lists a standard subscription of $20 per month.

This is the easiest option to understand because you can watch the browser work. It may fit a marketer or researcher who runs a small export by hand and does not want an API.

It is not my choice for a production backend. A desktop Chrome session needs a machine, a person or scheduler, local state, and a plan for interruptions. The vendor says it will update the software when Facebook changes, but buyers should still test the current installer and exact workflow before paying.

5. facebook-event-scraper

The facebook-event-scraper Node.js package is the best code-first option in this shortlist. Version 0.2.7 was pushed in May 2026, the package declares an MIT license, and the repository showed 64 stars when checked.

It can fetch a specific event by URL or ID and collect hosted event lists from pages, groups, or profiles. The documented object includes names, descriptions, locations, timestamps, time zones, hosts, ticket URLs, response counts, parent events, and sibling dates. Proxy options are available.

The default mode is for public event pages. The package also documents cookie support for restricted events, while warning that cookies expire and that heavy requests can put an account at risk. I would keep production collection to public data and avoid tying a personal Facebook account to a scraper.

Choose this package when owning the collector is intentional. You get code you can inspect and adapt, but also selector and request drift, proxy decisions, cookies, retries, telemetry, schema changes, and on-call work. A managed API is usually cheaper once that maintenance becomes an unwanted part of the product.

What buyers ask before choosing

The useful public questions were less about scraping syntax and more about coverage.

A recent Reddit thread on Facebook event reliability asked whether any tool keeps working without constant breakage. Another event-search thread focused on a narrower requirement: recurring date-bounded searches instead of manual weekly work. A third local discovery thread showed why keyword-only results are not enough. Location and relevance are part of the product.

YouTube walkthroughs made the same split visible. Stevesie Data’s browser-network workflow starts by capturing the request Facebook makes, which gives a no-code user flexibility but still leaves browser setup and changing internal requests in the workflow. Apify’s 2026 walkthrough demonstrates a managed run that can start from event URLs or search queries and save a dataset.

Those questions changed the comparison criteria in this guide. I added separate tests for discovery versus details, date and location handling, structured output, and who owns breakage. A vendor badge or a cheap rate says little if the tool cannot express the actual search.

Before choosing, write one acceptance test in plain English. For example: “Every morning, find public live-music events in Austin for the next seven days, save event ID and start time, and update changed RSVP counts without duplicating prior events.” Then ask each vendor how many requests, records, runs, and details calls that job needs.

What the prices actually measure

Provider	Published unit	Cost question to answer
ScrapeCreators	Credits per endpoint request	How many search pages and details calls does one refresh require?
Apify	Events produced by an Actor	Which plan applies, and how many runs and events will the schedule produce?
Bright Data	Successfully delivered records	Are you paying for known event details, discovery records, or both?
Botsol	Monthly desktop subscription	Who runs the browser, where does it run, and how much manual cleanup remains?
Self-hosted package	Infrastructure and engineering time	What do proxies, sessions, breakage, testing, and on-call work cost?

Suppose one keyword-search request returns five event candidates and the application makes five details calls. That is six endpoint requests but five final event records. A request-priced API and a record-priced scraper will report different counts for the same job. Add pagination, retries, refresh frequency, storage, and deduplication before comparing the rates.

Do not model interested or going counts as permanent facts. They change, and a refresh creates new usage. The right budget includes every planned refresh, not only the first import.

A live Facebook Events API request

I ran this ScrapeCreators request on September 11, 2026. The API key stays in an environment variable:

curl --get "https://api.scrapecreators.com/v1/facebook/events/search" \
  -H "x-api-key: $SCRAPE_CREATORS_API_KEY" \
  --data-urlencode "query=tech conference"

It returned HTTP 200, charged one credit, returned five event rows, and included a pagination cursor. This is an abbreviated excerpt from the response:

{
  "success": true,
  "credits_charged": 1,
  "events": [
    {
      "id": "2115719985664581",
      "name": "TeslaTech 2026: ExtraOrdinary Technology Conference",
      "url": "https://www.facebook.com/events/2115719985664581/",
      "day_time_sentence": "Aug 12 at 12:00 PM - Aug 17 at 12:30 AM MDT",
      "start_timestamp": 1786557600,
      "is_online": false,
      "is_past": true,
      "social_context": {
        "interested_count": 28,
        "going_count": 11
      }
    }
  ],
  "cursor": "..."
}

The first page included past events even though the query was current. That is exactly why an application should validate is_past and start_timestamp instead of trusting the title or search order. If date and city are required inputs, use the city-events route with its documented time option or apply a clear filter after collection.

One successful request is not an uptime benchmark. It proves the current request contract and shows the kind of record returned on that date.

Which Facebook event scraper should you choose?

Choose ScrapeCreators if you need a normal REST API for public event search, city pages, details, and pagination. Start with the free credits and call the exact endpoints your product needs.

Choose Apify if an Actor with configurable inputs, schedules, datasets, exports, and integrations is a better fit than a fixed response contract.

Choose Bright Data if you already think in large delivered-record batches and need concurrency, spend controls, webhooks, or enterprise procurement.

Choose Botsol if a person wants to apply filters in Facebook, watch Chrome collect the records, and export to Excel.

Choose facebook-event-scraper if Node.js collector maintenance is acceptable and code ownership matters more than a managed service.

If the project needs arbitrary websites as well as Facebook, compare the broader options in the social media scraping API guide. If it needs Marketplace listings rather than events, use the Facebook Marketplace scraper comparison instead of forcing an event tool to do another job.

Limits to plan for

Facebook events are mutable and incomplete by nature. Events get canceled, dates move, venues change, and hosts edit descriptions. Logged-out visibility can differ by location. Recommendation order can shift between sessions.

A production workflow should handle:

• pagination and deduplication by stable event ID
• start times and time zones as data, not formatted strings alone
• parent, sibling, recurring, canceled, past, and online event states
• missing places, ticket links, cover media, and RSVP counts
• search results that include old or weakly related events
• a second details call when search rows are too thin
• source URLs for human verification
• retention and deletion rules for public personal data

Public does not mean consequence-free. Do not scrape private events or use attendee signals to build invasive personal profiles. Review Facebook’s terms and the laws that apply to your collection and use. For a general starting point, read the web scraping legal guide.

Sources checked

I checked these primary pages and repositories on September 11, 2026:

• ScrapeCreators Facebook Events API, pricing, event search docs, city events docs, and event details docs
• Apify Facebook Events Scraper and Apify pricing
• Bright Data Facebook Events Scraper and Scraper API pricing
• Botsol Facebook Events Scraper
• facebook-event-scraper repository, README, package metadata, and recent commits

Prices, fields, and upstream behavior can change. Recheck the provider’s current page and test your own public fixtures before promising coverage or estimating a production bill.