Moving from Firecrawl to another web scraping API is an integration migration, not a hostname swap. Inventory the Firecrawl operations your application actually uses, map each one to the destination’s request and response model, then compare both providers against representative pages before production cutover. ScrapingBee’s own migration guidance puts it plainly: “Yes, but ScrapingBee is not a drop-in replacement for the Firecrawl API.”
What changes when you migrate from Firecrawl?
At minimum, expect to review the endpoint, authentication, request parameters, response parsing, error handling, and any Firecrawl-specific workflows. A replacement may provide a similar capability under a different interface—or may not provide it at all. Keep the behavior your application needs, not the provider-specific implementation by default.
ScrapingBee is one relevant candidate because it publishes migration guidance and describes features such as JavaScript rendering, browser actions, multiple output formats, geotargeting, and proxy options. Its API is not a drop-in Firecrawl replacement. Whether it—or another web scraping API—fits depends on your target sites and workload.
Inventory your Firecrawl integration before changing it
Start by tracing every place the application can make a Firecrawl request: application code, configuration, scheduled tasks, background queues, and any separately deployed workers. Record both direct HTTP calls and SDK methods. Do not assume the main request path is the only one; a nightly crawl or a low-frequency search feature can have different requirements from the page scraper used by the main application.
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Identify the API version and operations
Firecrawl’s published v1 and v2 OpenAPI specifications identify different base URLs: https://api.firecrawl.dev/v1 and https://api.firecrawl.dev/v2. Both specify bearer authentication for /scrape. Record which version your application calls rather than inferring it from an SDK name or an old environment variable. The specifications can also help you inventory the available operations and request fields for the version in use.
For each call site, record whether it performs a single-page scrape, crawl, batch scrape, search, interaction, or structured extraction. Note whether requests are synchronous or asynchronous in your implementation and what your code does while waiting for a result.
Capture the contract your application relies on
Write down the request inputs and the response fields consumed downstream. Include the URL or query, output formats, rendering and wait options, browser actions, schema definitions, and any custom settings. Then follow the data after the API call: identify which fields are required, which are optional, and what the application does if a field is empty or absent.
- Inputs: URLs, search queries, schemas, action sequences, and request options.
- Outputs: HTML, Markdown, structured data, screenshots, metadata, and any status or error fields your code reads.
- Operations: crawl discovery, pagination, batch handling, asynchronous job polling, and webhooks, if used.
- Operational assumptions: retries, timeouts, rate limits, concurrency, and how failures are reported to users or other services.
Map behavior, not just endpoints
Create a mapping for each use case before implementing the replacement. For each row, spell out the current Firecrawl operation, the destination operation or composed sequence, the expected output, and the behavior when something goes wrong. A destination may require a combination of lower-level requests where Firecrawl currently offers one operation.
| Application use case | Record from Firecrawl | Decide for the destination |
|---|---|---|
| Single-page extraction | Input URL, output formats, rendering and wait options, fields consumed | Equivalent request, response mapping, and handling for missing content |
| Site discovery or crawl | Starting URLs, crawl boundaries, depth or page limits, completion behavior | Native crawl capability, composed discovery requests, or a deliberate replacement workflow |
| Search | Query, result fields, page content returned, and downstream ranking or filtering | Whether search is available and whether its result shape preserves required behavior |
| Browser interaction | Clicks, form filling, navigation, waits, and multi-step flow state | Equivalent browser actions, a lower-level implementation, or removal if unused |
| Structured extraction | Schema, expected fields, validation, and handling of partial output | Schema-shaped output or a separate extraction and validation step |
Firecrawl describes search, scrape, and interact workflows. Its product description says search results can include page Markdown; scrape can return Markdown, HTML, screenshots, metadata, or schema-shaped data; and interact can navigate through actions such as clicking and filling forms. Treat these as capabilities to check against your actual integration, not a requirement to reproduce every feature. If the application uses only single-page Markdown extraction, there is no reason to rebuild an unused interaction flow.
Keep authentication and configuration explicit
Move credentials into the destination provider’s expected authentication mechanism and configuration. Firecrawl’s published specifications describe bearer authentication for /scrape; do not carry that header forward automatically if the destination expects a different form. Keep credentials out of source code and logs, and check every deployment environment that has its own secret configuration.
Also check whether endpoint versioning, optional parameters, and defaults differ. A request that succeeds after changing its URL can still silently change behavior if a rendering option or output selection was previously implicit.
Build a response adapter
A small adapter between provider responses and your application’s internal data model can isolate provider-specific changes. Normalize successful results into the fields the rest of the application expects, and handle errors separately instead of treating every response as page content.
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For example, the adapter should distinguish a valid result with no matching text from a timeout, rejected request, or provider error. Preserve enough status and error context to diagnose the provider response, but avoid logging credentials or retaining scraped content unnecessarily. The exact response fields and status codes must come from the destination provider’s current documentation; they are not interchangeable across services.
Compare web scraping APIs against your real workload
Build a requirements matrix from the inventory, then evaluate candidates using the same page types and request mix. A list of advertised features is a starting point, not evidence that a provider will return equivalent results from your sites.
- Target-site coverage: Include the domains, page templates, and failure-prone pages your application depends on. Measure success by the content and fields you require, not merely by whether an HTTP response arrived.
- JavaScript and browser actions: Check whether pages need rendering, and whether the workflow needs clicks, scrolling, waiting, or form entry.
- Output shape: Decide whether downstream code needs raw or rendered HTML, Markdown, screenshots, metadata, or structured JSON. Account for differences in formatting and missing fields.
- Discovery needs: Separate one-page extraction from crawl, map, and search requirements. Verify that site-wide discovery is available if your application depends on it.
- Geography and proxy controls: Check country targeting and proxy options against the regions and sites that matter to your workload.
- Operations: Compare concurrency, rate limits, asynchronous jobs, retries, timeouts, and error semantics.
- Cost: Estimate usage from the real mix of pages and operations, including retries and any multi-request workflow needed to replace a single Firecrawl call.
- Data handling: Review retention, access, and operational requirements that apply to your organization before sending production content to another service.
ScrapingBee describes HTML, Markdown, screenshots, structured JSON, JavaScript rendering, browser actions, Auto Mode, geotargeting, proxy options, and plan-based concurrency. These are vendor-described capabilities, not a guarantee of the same result on every site. Confirm current availability and plan limits directly with the vendor, then test the pages that matter.
Read benchmark claims in context
Firecrawl published figures on its Firecrawl-versus-ScrapingBee page from a benchmark it says it conducted on January 13, 2026. It reports 96% coverage, an extraction F1 of 0.638, content recall of 0.639, and P95 latency of 3,387 ms. Firecrawl says the benchmark used 1,000 URLs across public domains and defined success as retrieving at least 10% of expected core page text. The page says the dataset is public but the test harness had not been published, so the end-to-end run could not be reproduced from that page when accessed. These are Firecrawl’s vendor-reported results, not independent findings or a prediction of your workload’s performance.
Validate the replacement before production cutover
Use a fixture set that represents important pages and workflows. Include pages with different templates, content lengths, rendering behavior, and interaction requirements. Run the same cases through the existing integration and candidate API, and compare the outcomes against acceptance criteria defined before looking at the results.
- Select representative cases. Include high-value pages, unusual layouts, pages that require browser actions, and cases that have previously failed or returned incomplete content.
- Define what counts as success. Specify required text or fields, acceptable missing values, expected crawl coverage, and which errors should trigger a retry or escalation.
- Run both integrations. Keep inputs and relevant options comparable. Where the destination needs multiple calls to reproduce one Firecrawl workflow, include the full sequence and its cost.
- Compare outputs and operations. Check required content, extraction quality, malformed or missing results, interaction behavior, crawl coverage, latency, error handling, and usage consumption.
- Test the production request mix. Include realistic concurrency and request volume. A few successful demo pages do not establish how the integration behaves under normal use.
- Roll out reversibly. If your architecture allows it, route a limited share or a non-critical workload first. Track provider-specific failures and output quality, and keep a practical rollback path until the new integration meets its acceptance criteria.
ScrapingBee’s migration guidance specifically recommends testing important target websites and credit use before moving a production workload. Retain diagnostic information needed to troubleshoot differences, while avoiding unnecessary storage of scraped content.
Implement the migration in a controlled sequence
- Freeze the inventory. Save the list of endpoints, operations, request options, response fields, and downstream consumers. This is the baseline for deciding whether behavior has been preserved.
- Choose the destination per use case. A single provider may cover all requirements, but do not assume that it does. Record any feature that will be composed from lower-level calls or intentionally dropped.
- Implement configuration and response mapping. Change authentication and endpoint settings, then add the adapter and explicit error handling. Keep provider-specific code behind a narrow interface where practical.
- Run fixtures and operational checks. Compare content and field quality as well as latency, failure rates, retries, concurrency behavior, and usage costs.
- Deploy with monitoring and rollback. Watch the outcomes that matter to the application, not just API availability. Keep the old path available for the migration window if your architecture and provider terms allow it.
- Remove the old integration deliberately. After the new path is stable, remove obsolete credentials, scheduled jobs, SDK dependencies, and configuration so unused Firecrawl calls do not persist unnoticed.
Common migration problems and fixes
- Authentication failures: The new provider may use a different credential format or header. Check its current API documentation, confirm the secret is present in the deployed environment, and inspect sanitized request metadata rather than printing the secret.
- Requests succeed but content is missing: Compare output-format settings and rendering or wait behavior. Validate the actual response fields your adapter reads; a successful status alone does not mean the required page content was extracted.
- Browser workflows stop midway: List the old action sequence and verify that the destination supports each needed step. If not, implement and test a composed flow or change the application requirement explicitly.
- Crawl coverage falls: Check whether the candidate has equivalent discovery behavior and whether boundaries, pagination, or completion handling changed. Test site-wide coverage separately from single-page scraping.
- Costs rise unexpectedly: Recalculate with the actual request mix, including retries and any extra calls needed for search, discovery, or interactions. Compare observed consumption on the fixture run before increasing production volume.
- Rate limits or timeouts appear under load: Review the candidate’s current concurrency and rate-limit guidance, then tune queueing, backoff, and timeouts to its documented behavior. Do not copy Firecrawl’s operational assumptions blindly.
- Results differ despite similar settings: Treat the provider change as a change in extraction behavior. Use fixture-level acceptance criteria and adjust downstream parsing only where the difference is understood and acceptable.
When a screenshot API is the right tool—and when it is not
A screenshot API is not a general web scraping API replacement: it returns a visual capture rather than a crawl, search result set, or structured extraction workflow. If your migration requirement is specifically to capture rendered page images or PDFs, ScreenshotNeo is an option to evaluate for that narrower task. It offers PNG, JPEG, or WebP screenshots and PDF output from a GET request, along with an MCP server for AI agents. It should not be treated as a substitute for Firecrawl’s crawl, search, or schema-based extraction features.
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For a screenshot-only use case, make one GET request with the page URL. See the ScreenshotNeo API documentation for request options.
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Frequently Asked Questions
Can I switch from Firecrawl to ScrapingBee?
Yes, but ScrapingBee says its API is not a drop-in replacement; plan for request, response, and workflow changes.
Do I need a dedicated SDK to use ScrapingBee’s REST API?
ScrapingBee’s migration guidance says standard HTTP clients can be used, so a dedicated SDK is not required for its REST API.
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No. ScreenshotNeo is a screenshot and PDF API, not a replacement for crawl, search, or schema-based extraction workflows.
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