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Compare Facebook Posts Scraper Side by Side

Compare Facebook Posts Scraper Side by Side — a practical guide with a ready-to-run configuration and structured output.

Editorial illustration for social & news
Sep 16, 2026 · 2 min read · 431 words
View the Apify scraper →

Need to compare facebook posts scraper across targets? Thirdwatch's Facebook Posts Scraper turns it into structured rows — the fields you need, ready to export.

Skip the setup: Run this as a ready-to-go task on Apify — pre-loaded with the configuration from this guide.

Why Compare side by side works

Put the same fields side by side for every target — the deltas are where decisions happen. This guide shows the configuration that pulls facebook posts scraper data from Facebook Posts Scraper.

How does this compare to the alternatives?

Manual copy-paste works for a handful of rows; dedicated per-site scrapers on other platforms either gate the same data behind sign-in or charge flat monthly fees regardless of usage.

Why this Actor

  • Purpose-built for Facebook Posts Scraper — no generic crawling config to tune
  • Pay-per-result pricing — you pay only for rows that come back
  • Structured output ready for JSON/CSV export or API consumption
  • No login, cookies, or API keys needed for the public surfaces it reads

How to do it in 3 steps

Step 1: Configure the input

Set the inputs as shown below — mode takes the targets, and the optional fields bound the run size.

Step 2: Run the Actor

Run it from the console, the API, or the linked saved task. One dataset row is written per record.

Step 3: Use the output

Every row carries the fields shown in the sample — export as JSON, CSV, or feed it straight into your pipeline.

{
  "pageUrls": [
    "https://www.facebook.com/nasa"
  ],
  "maxResults": 10
}

Each dataset row looks like:

{
  "record_type": "post",
  "post_id": "1639114777583892",
  "post_url": "https://www.facebook.com/NASA/posts/pfbid02FDWE6z2u4MfbHnirq8BdWUYtYi1cdDNEiayPTquFJDjCKi92ULJoWM5Q3U7e94Ddl",
  "story_id": "UzpfSTEwMDA0NDU2MTU1MDgzMToxNjM5MTE0Nzc3NTgzODkyOjE2MzkxMTQ3Nzc1ODM4OTI=",
  "text": "Welcome to the Artemis Accords, San Marino \ud83c\uddf8\ud83c\uddf2\n\nSan Marino has joined 75 other nations by committing to the safe and sustainable exploration of space. https://go.nasa.gov/4iKdyyL",
  "created_at": "2026-09-25T20:31:03+00:00",
  "timestamp": 1790368263,
  "author_name": "NASA - National Aeronautics and Space Administration",
  "author_id": "100044561550831",
  "author_url": "https://www.facebook.com/NASA",
  "media_type": "photo",
  "image_urls": [
    "https://scontent.fkkc4-2.fna.fbcdn.net/v/t39.99422-6/825340597_3467943383376834_2458584074081235097_n.png?stp=dst-jpg_tt6&cstp=mx2048x1670&ctp=s640x640&_nc_cat=107&_nc_map=urlgen_bucketless&ccb=1-7&_nc_sid=127cfc&_nc_ohc=vd3znTnyBN4Q7kNvwGTQ9uk&_nc_oc=AdrVH0W4QjZ56jneUUREYwE6B7Pbr9Z9qRZQ5jakMZCL7kwjF9Mvbu680M-C3sKL-3E&_nc_zt=14&_nc_ht=scontent.fkkc4-2.fna&_nc_gid=b0u6SiDmQeXci8asG_6XzQ&_nc_ss=7d289&oh=00_AQKp6nnNsPU7xkQba8CM96UbOtIX7ak-4J5EXm9823MRWA&oe=6ABD5CD6"
  ]
}

What to watch for

Rate the targets reasonably — large batches benefit from modest concurrency. Source sites may throttle heavy bursts; retry once and widen filters if a target surface is thin.

Related use cases

Run the Facebook Posts Scraper on Apify Store — pay per result, free to try, no credit card to test.

Frequently asked questions

What does Facebook Posts Scraper return?

One dataset row per result — with the fields shown in the sample output. Export as JSON, CSV, or Excel.

How do I control run size?

`mode` selects the targets and the max/limit fields bound how many rows come back. Start small, then scale.

Can I run this on a schedule?

Yes — save it as a task and attach a schedule in Apify Console for daily/weekly pulls.

Is this data public?

The Actor collects publicly visible data only — the same information a logged-out visitor sees.

What formats can I export?

JSON, CSV, Excel, XML, or direct API access to the dataset — plus webhooks and integrations.

What if a run returns fewer rows than expected?

The source limits some results; retry once, and widen the query or filters if the target surface is genuinely thin.

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