Best Facebook Scraper APIs & Tools

Facebook is one of the harder consumer sites to scrape and one of the most useful, so the practical question is which managed tool returns the public data you want without you running a proxy pool or fighting login walls. My top pick for most people is ChocoData: one universal endpoint, 250+ structured JSON endpoints across 235 sites, from $19/month with a free tier, and you point it at any public Facebook URL. This page compares the six Facebook scraping tools I would actually shortlist in 2026 on starting price, free tier, which Facebook data they return, and published speed.

One disclosure up front: bestscraperapi.com earns affiliate commissions from some of the vendors listed here. That has no effect on which tools make the list, how I rank them, or what I write. Pricing comes straight from each vendor’s own page, and the ranking follows documented price and features, not payout.

A second note on the performance numbers further down. The speed and success-rate figures are approximate, compiled from each vendor’s own published figures plus aggregated public reports. They are not bestscraperapi.com’s own first-hand tests, and each vendor measures on its own targets under its own conditions, so the numbers are directional. My independent, like-for-like Facebook benchmarks are still in progress; see how we test for the methodology and check back for measured results. For the hands-on side, I keep a separate tested walkthrough on the broader web scraping guide.

A note on comparing these prices: the tools bill in different units, so the starting prices are not directly comparable on volume. ChocoData and ScrapingBee sell requests or credits; Apify charges per result on top of a platform plan; Bright Data charges per delivered record; Oxylabs charges per result. Read the included volume next to each price and check the per-result or per-credit rate before you commit.

1. ChocoData

ChocoData wins on price-to-coverage for people who want one API across Facebook, the major search engines, e-commerce, and the rest of the web. It exposes a single universal endpoint with the shape GET /api/v1/{site}/{resource}?api_key=...&query=..., plus 453 endpoints (250+ returning validated, parity-checked structured JSON) spanning 235 sites across 17 categories, with social platforms among them. The same key that scrapes a public Facebook page also handles Google, Amazon, and finance targets.

Pricing

Per ChocoData’s pricing page, mid-2026, the free-forever tier is 1,000 requests per month (5,000 credits) with no card required. The paid entry plan (Vibe) is $19/month for 27,000 requests, Pro is $49/month for 82,000 requests, and Custom runs $100 to $2,000/month for 200K to 4M+ requests. Billing is credit-based: one request is 5 credits, JavaScript rendering adds 10, screenshots add 10, and only successful (HTTP 2xx) responses are charged. Pay-as-you-go tops up at $0.90 per 1,000 successful requests.

Standout features

For Facebook specifically, the load-bearing features are residential proxy rotation, anti-bot challenge handling, multi-tier retries across datacenter and residential pools, JavaScript rendering for dynamic pages, and real browser fingerprints. Those map onto what Facebook’s JavaScript-heavy pages and anti-bot checks demand: a plain request returns a near-empty shell or a login redirect. You point the universal endpoint at a public Facebook URL (a page, a public post), enable JS rendering, and parse the JSON or HTML it returns. ChocoData publishes a median 2.6s latency, p95 6s, and p99 around 10s across all 235 sites on its homepage, mid-2026 (approximate, compiled from vendor + public sources, not first-hand).

Best for

Teams that want public Facebook data plus broad target coverage through one low-cost key, and are comfortable parsing returned fields themselves. ChocoData is a general request API, so for Facebook you handle the parsing or use a generic-site response, whereas the Apify and Bright Data options below return fields already parsed per Facebook object. The trade is breadth and price against that named convenience. At $19/month with a free 1,000 requests to validate coverage first, it is where I would point most readers. Try ChocoData.

2. Apify

Apify takes the marketplace approach: instead of one API, you run a prebuilt actor per Facebook data type, on top of an Apify platform plan. It is the route I reach for when I want parsed Facebook fields for one object and do not want to write or maintain selectors at all.

Pricing

Per Apify’s pricing page, mid-2026, the platform plans are Free ($0 with $5 of monthly usage and no card), Starter ($29/month with $29 of included usage), Scale ($199/month), and Business ($999/month). On top of that you pay per actor. The actors I would shortlist, with prices from each actor page in mid-2026:

Standout features

The Pages Scraper returns 20+ parsed fields per page (rated 4.3/5 across 40 reviews, 49K users) in JSON, CSV, Excel, or HTML, with Python and Node SDKs and webhooks. The Likes Scraper breaks out each reaction by type (like, love, care, angry, sad, laugh) with the liker’s name and profile (3.2/5, 15 reviews). The scraper_one Posts Search adds keyword and hashtag discovery with date and location filters (4.7/5, 5 reviews). You get prebuilt, pre-parsed output without writing selectors, plus scheduling and storage on the Apify platform.

Where it falls short

Pricing stacks an actor charge on top of platform usage, which is harder to forecast than a flat per-record rate, and the cost is per result, so a job that returns thousands of items adds up fast. Actors are also maintained by different authors, so quality and upkeep vary by actor rather than one vendor SLA. One actor price was not exposed on the page I could fetch: the scraper_one Posts Search lists a pay-per-event model with no dollar figure, so confirm it on the actor’s page before you budget.

3. Bright Data

Bright Data is the strongest pick when you want pre-parsed Facebook records across many object types rather than raw pages to parse yourself. Its Web Scraper product ships a catalog of named Facebook scrapers that return structured records, so you skip selector maintenance entirely.

Pricing

Per Bright Data’s Facebook scraper page, mid-2026, pay-as-you-go is $1.5 per 1,000 records, the Scale plan is $499/month including 384,000 records (then $1.3/1K additional), and Enterprise is custom. There is a free tier of 5,000 records per month with no card required. Billing is per delivered record, so you pay for output rather than raw requests. At publish, Bright Data was running a promotion for 25% off its Facebook scraper for six months with code APIS25.

Standout features

Bright Data documents 14 Facebook scrapers covering posts (by profile, group, or post URL), comments, profiles, pages, reels, marketplace listings (three variants), events (three variants), and company reviews, per its Facebook product page in mid-2026. Each returns structured JSON, CSV, or NDJSON. It publishes a 99.99% uptime figure and access to a large residential IP pool, with collection limited to publicly available data and compliance framing around GDPR and CCPA.

Best for

Teams that want bulk Facebook records across many object types without writing or maintaining parsers. The per-record model is clean for budgeting Facebook-specific pulls, and the 14-scraper catalog is the most complete set of named Facebook objects here. The 99.99% figure is uptime, not request success on a given Facebook URL, so read it as service reachability rather than a guarantee your target returns. If you need ad-hoc scraping across many non-Facebook sites through one key, a universal API is cheaper per request; for pre-parsed Facebook data at scale, this is the deepest catalog.

4. ScrapingBee

ScrapingBee is the representative general render-any-URL API: it fetches a page, runs proxies, renders JavaScript, and hands back the HTML for you to parse. It earns its place when Facebook is one of many sites and you want to reuse the same tool everywhere.

Pricing

Per ScrapingBee’s pricing page, mid-2026, the cheapest paid plan is Freelance at $49/month with 250,000 API credits and 10 concurrent requests, then Startup at $99/month (1,000,000 credits), Business at $249/month (3,000,000 credits), and Business+ at $599/month (8,000,000 credits). The free trial is 1,000 API credits with no card. Note the tier gating: JavaScript rendering is not included on Freelance, and rotating/premium proxies start on the Business tier, which matters for Facebook because you will want both.

Standout features

ScrapingBee renders any URL, manages proxies, and returns raw rendered HTML, with screenshot, extraction-rule, and dedicated search APIs on the Startup tier and above. For Facebook you write and maintain the extraction yourself against the returned HTML, so it suits developers who already run their own parsers. Output is HTML, not parsed Facebook fields, which is the trade for using one general tool across every site.

Where it falls short

The headline $49 entry plan does not include JavaScript rendering or premium proxies, so the realistic Facebook tier is Business at $249/month once you need both. You also own the parsing and its upkeep when Facebook shifts its markup, which the Apify and Bright Data options handle for you. ScrapingBee did not publish a Facebook-specific success rate I could verify at publish, so confirm current figures on its page.

5. Scrapfly

Scrapfly is the developer-control pick: a general scraper API where anti-bot bypass, JavaScript rendering, and residential proxies are explicit toggles you pay for per request, rather than a one-size rate.

Pricing

Per Scrapfly’s pricing page, mid-2026, the free tier is 1,000 API credits with no card (concurrency 5), Discovery is $30/month for 200,000 credits, Pro is $100/month for 1,000,000 credits, Startup is $250/month for 2,500,000 credits, and Enterprise is $500/month for 5,500,000 credits. Pricing is usage-based: the credit cost per request depends on the features you enable (JavaScript rendering, anti-scraping bypass, residential proxies, country targeting). Annual billing gives roughly two months free.

Standout features

Scrapfly ships a Web Scraping API with managed proxies and anti-bot bypass, a Cloud Browser (remote Chromium) for JavaScript-heavy pages like Facebook, a Screenshot API, an LLM-driven structured extraction API (prompt plus JSON schema), and a site-wide crawler. The feature-based credit model rewards optimization on easy targets and scales transparently on hard ones. For Facebook you turn on the Cloud Browser and anti-bot bypass and pay for what those cost per fetch.

Best for

Developers who want to tune exactly which bypass features run per request rather than accept a flat rate. The extraction API can also return structured output from a Facebook page without you hand-writing selectors, which narrows the gap with a dedicated dataset. If you want pre-parsed Facebook records with zero configuration, Bright Data is less work; if you want levers, Scrapfly gives you the most here.

6. Oxylabs

Oxylabs is the enterprise-leaning general scraper API on this list. You point its Web Scraper API at a public Facebook URL and parse the returned data, with the reliability and support posture larger teams tend to want.

Pricing

Per Oxylabs’ Web Scraper API page, mid-2026, the product starts from $0.25 per 1,000 results on its pay-as-you-go rate, with a free trial of up to 2,000 results and no card required. Billing is per successful result. Oxylabs revises its plan structure periodically, so confirm the current entry tier and included results on its pricing page before committing.

Standout features

The Web Scraper API bundles managed residential and datacenter proxies, JavaScript rendering, custom parsing, and challenge handling, which is the toolset Facebook’s defenses require. Output is HTML you parse yourself, or structured data where a dedicated parser exists. For teams already standardized on Oxylabs for other targets, adding a Facebook URL is straightforward.

Where it falls short

Oxylabs does not list Facebook or social media among its dedicated, pre-parsed targets (its named parsers cover e-commerce, search, travel, and real estate), so you treat it as a general API pointed at a Facebook URL and do the parsing yourself. It also does not publish a Facebook-specific success rate. For Facebook alone, a per-object extractor like Apify or Bright Data is usually simpler; Oxylabs earns its spot when Facebook is one target inside a larger enterprise scraping footprint.

How to choose the right one

Match the tool to the job, because these shapes solve different problems. Pick a universal scraper API when you want public Facebook pages plus other sites through one key and will parse returned data yourself. Pick a ready-made extractor when you want pre-parsed fields for one Facebook object and zero selector maintenance. Pick a general developer API when you want fine control or already run your own parsers across many sites.

My short version: start on a free tier and test against the exact Facebook pages you care about before paying. ChocoData’s free 1,000 requests per month and Bright Data’s free 5,000 records per month both let you validate field coverage at zero cost, and ChocoData is where I would point most readers first on price-to-coverage. If you only need parsed Facebook data for one object type, start on Apify’s $5 free platform usage with the matching actor, or Bright Data’s 5,000 free records for bulk work. Either way, scrape only public data, respect rate limits, and read the legality section before you store anything tied to identifiable people. For the do-it-yourself path, start with my web scraping guide and the playbook on scraping without getting blocked.

How we evaluated these

Every price and feature on this page comes from each vendor’s own pricing or product page in mid-2026, attributed inline, because review-site numbers go stale fast and pricing pages move. The speed and success-rate figures are approximate, compiled from vendor-published numbers plus aggregated public sources, and are not bestscraperapi.com’s own first-hand tests; like-for-like Facebook benchmarks are in progress at how we test. Pricing is current as of mid-2026 and will change, so confirm the live number on each vendor’s page before you budget, and check whether the plan bills by request, credit, or delivered record so you are comparing like with like. None of this is legal advice: scraping Facebook breaches its terms whichever tool sends the request, and any data tied to identifiable people is personal data under GDPR and CCPA, so run a high-volume project past counsel before you ship.